ORIGINAL_ARTICLE
Composite Multi Wall Carbon Nano Tube Polydimethylsiloxane Membrane Bioreactor for Enhanced Bioethanol Production from Broomcorn Seeds
Broomcorn seed (Sorghum vulgare) was used as raw material for bioethanol production. Optimum conditions were obtained from response surface method. Broomcorn seed flour (45 g/l) was treated by alkaline treatment and dual enzymatic hydrolysis (0.7 g/l of α- amylase and 0.42 g/l of amyloglucosidase). The hydrolyzed total sugar of 25.5 g/L was used in conventional bioethanol production (8.1 g/l) using Saccharomyces cerevisiae. Enhanced bioethanol production was performed in membrane bioreactor (MBR) in integrated batch fermentation and membrane pervaporation process. Application of commercial polydimethylsiloxane/polyethyleneterephthalate/polyimide (PDMS/PET/PI) membrane in MBR resulted in ethanol concentration of 10.15 g/l in broth and 70.2 g/l in cold trap of MBR. Cell concentration in broth was increased from 7.2 in conventional fermentation to 9.05 g/l in MBR. In addition, ethanol production in MBR using fabricated membrane having ethanol separation factor of 8.7; ethanol concentration in broth and cold trap were 11.1 and 88.5 g/ l, respectively. Also the cell concentration of 10.2 g/l was obtained in MBR with fabricated membrane. In MBR, surface modified multi wall carbon nano tube (MWCNT) coated on membrane having ethanol separation factor of 10.2, resulted ethanol concentration of 11.9 and 110 g/l in broth and cold trap, respectively. Finally, for MBR using modified membrane the cell concentration of 11.01 g/l was obtained. Based on a comparison study, maximum ethanol separation and yield were obtained for modified membrane having MWCNT and the surface was modified by corona treatment.
https://www.ije.ir/article_73147_41c78db549df58b435392a5065d51653.pdf
2018-04-01
516
523
Bioethanol
Multi Walled Carbon Nano Tube
Polydimethylsiloxane
Polyethersulfune
Composite Membrane
Broomcorn Seed
A
Farahi
amirhosein_farahi@yahoo.com
1
Biotechnology Research Laboratory, Faculty of Chemical Engineering, Noushirvani University of Technology, Babol, Iran
AUTHOR
G. D
Najafpour
ije.editor8@gmail.com
2
Biotechnology Research Laboratory, Faculty of Chemical Engineering, Noushirvani University of Technology, Babol, Iran
LEAD_AUTHOR
A
Ghoreyshi
aa_ghoreyshi@nit.ac.ir
3
Biotechnology Research Laboratory, Faculty of Chemical Engineering, Noushirvani University of Technology, Babol, Iran
AUTHOR
1. Cantú-Lozano, D. and Luna-Solano, G., "Bioethanol production process rheology", Industrial Crops and Products, Vol., No., (2016).
1
2. El-Sebaii, A. and Shalaby, S., "Solar drying of agricultural products: A review", Renewable and Sustainable Energy Reviews, Vol. 16, No. 1, (2012), 37-43.
2
3. Peng, P., Shi, B. and Lan, Y., "A review of membrane materials for ethanol recovery by pervaporation", Separation Science and Technology, Vol. 46, No. 2, (2010), 234-246.
3
4. Wei, P., Cheng, L.-H., Zhang, L., Xu, X.-H., Chen, H.-l. and Gao, C.-j., "A review of membrane technology for bioethanol production", Renewable and Sustainable Energy Reviews, Vol. 30, No., (2014), 388-400.
4
5. Rezakazemi, M., Shahidi, K. and Mohammadi, T., "Synthetic pdms composite membranes for pervaporation dehydration of ethanol", Desalination and Water Treatment, Vol. 54, No. 6, (2015), 1542-1549.
5
6. Nasidi, M., Agu, R., Deeni, Y. and Walker, G., "Utilization of whole sorghum crop residues for bioethanol production", Journal of the Institute of Brewing, Vol. 122, No. 2, (2016), 268-277.
6
7. Farahi, A., Najafpour, G., Ghoreyshi, A., Mohammadi, M. and Esfahanian, M., "Enzymatic production of reducing sugars from broomcorn seed (sorghum vulgare): Process optimization and kinetic studies", World Applied Sciences Journal, Vol. 18, No. 4, (2012), 568-574.
7
8. Ariyajaroenwong, P., Laopaiboon, P., Salakkam, A., Srinophakun, P. and Laopaiboon, L., "Kinetic models for batch and continuous ethanol fermentation from sweet sorghum juice by yeast immobilized on sweet sorghum stalks", Journal of the Taiwan Institute of Chemical Engineers, Vol. 66, No., (2016), 210-216.
8
9. Castro, E., Nieves, I.U., Rondón, V., Sagues, W.J., Fernández-Sandoval, M.T., Yomano, L.P., York, S.W., Erickson, J. and Vermerris, W., "Potential for ethanol production from different sorghum cultivars", Industrial Crops and Products, Vol. 109, No., (2017), 367-373.
9
10. Jafari, Y., Karimi, K. and Amiri, H., "Efficient bioconversion of whole sweet sorghum plant to acetone, butanol, and ethanol improved by acetone delignification", Journal of Cleaner Production, Vol. 166, No., (2017), 1428-1437.
10
11. Singh, H. and Soni, S.K., "Production of starch-gel digesting amyloglucosidase by aspergillus oryzae hs-3 in solid state fermentation", Process Biochemistry, Vol. 37, No. 5, (2001), 453-459.
11
12. Brunetti, A., Zito, P.F., Giorno, L., Drioli, E. and Barbieri, G., "Membrane reactors for low temperature applications: An overview", Chemical Engineering and Processing: Process Intensification, Vol., No., (2017).
12
13. Trifunović, O. and Trägårdh, G., "The influence of support layer on mass transport of homologous series of alcohols and esters through composite pervaporation membranes", Journal of Membrane Science, Vol. 259, No. 1, (2005), 122-134.
13
14. Fu, C., Cai, D., Hu, S., Miao, Q., Wang, Y., Qin, P., Wang, Z. and Tan, T., "Ethanol fermentation integrated with pdms composite membrane: An effective process", Bioresource Technology, Vol. 200, No., (2016), 648-657.
14
15. Esfahanian, M., Ghorbanfarahi, A., Ghoreyshi, A., Najafpour, G., Younesi, H. and Ahmad, A., "Enhanced bioethanol production in batch fermentation by pervaporation using a pdms membrane bioreactor", International Journal of Engineering-Transactions B: Applications, Vol. 25, No. 4, (2012), 249.
15
16. Tan, Y.H., Abdullah, M.O., Nolasco-Hipolito, C. and Zauzi, N.S.A., "Application of rsm and taguchi methods for optimizing the transesterification of waste cooking oil catalyzed by solid ostrich and chicken-eggshell derived cao", Renewable Energy, Vol. 114, No., (2017), 437-447.
16
17. Verma, D., Thakur, P.S., Padhi, S., Khuroo, T., Talegaonkar, S. and Iqbal, Z., "Design expert assisted nanoformulation design for co-delivery of topotecan and thymoquinone: Optimization, in vitro characterization and stability assessment", Journal of Molecular Liquids, Vol. 242, No., (2017), 382-394.
17
18. de Oliveira Faber, M. and Ferreira-Leitão, V.S., "Optimization of biohydrogen yield produced by bacterial consortia using residual glycerin from biodiesel production", Bioresource Technology, Vol. 219, No., (2016), 365-370.
18
19. Esfahanian, M., Rad, A.S., Khoshhal, S., Najafpour, G. and Asghari, B., "Mathematical modeling of continuous ethanol fermentation in a membrane bioreactor by pervaporation compared to conventional system: Genetic algorithm", Bioresource Technology, Vol. 212, No., (2016), 62-71.
19
ORIGINAL_ARTICLE
Online Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model
A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation is tested by data set of an industrial SRU. The comparative study indicated the result associated with more robust soft sensor and more appropriate performance index values compared to other methods for SRU soft sensor design in diverse achievements. Due to high prediction accuracy, the low complication of the model and also saving of time, this technique can be very noticeable in industrial processes control.
https://www.ije.ir/article_73148_68bbb0869bba26bb07543513f415de7e.pdf
2018-04-01
524
532
Soft sensor
time varying parameter
SRU
Quality estimation
Identification
Data
based modeling
R
Parvizi Moghadam
r.parvizi.m@pgs.usb.ac.ir
1
Center for Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
AUTHOR
F
Shahraki
fshahraki@eng.usb.ac.ir
2
Center for Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
LEAD_AUTHOR
J
Sadeghi
3
Center for Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
AUTHOR
1. Fortuna, L., Graziani, S. and Xibilia, M.G., "Soft sensors for monitoring and control of industrial processe, NewYork, Springer, (2007).
1
2. Ramli, N.M., Hussain, M.A., Jan, B.M. and Abdullah, B., "Composition prediction of a debutanizer column using equation based artificial neural network model", Neurocomputing, Vol. 131, No., (2014), 59-76.
2
3. Fortuna, L., Graziania, S. and Xibilia, M.G., "Soft sensors for product qualitymonitoring in debutanizer distillation columns", Control Engineering Practice, Vol. 13, (2005), 499-508.
3
4. Kadlec, P., Gabrys, B. and Strandtb, S., "Data-driven soft sensors in the process industry", Computers and Chemical Engineering, Vol. 33, (2009), 795–814.
4
5. Pani, A.K., Amin, K.G. and Mohanta, H.K., "Soft sensing of product quality in the debutanizer column with principal component analysis and feed-forward artificial neural network", Alexandria Engineering Journal, Vol. 55, (2016), 1667- 1674.
5
6. Kano, M., Showchaiya, N., Hasebe, S. and Hashimoto, I., "Hashimoto, inferential control of distillation compositions: Selection of model and control configuration", Control Engineering Practice, Vol. 11, No. 8, (2003), 927- 933.
6
7. Kim, S., Okajimaa, R., Kanob, M. and Hasebe, S., "Development of soft sensor using locally weighted pls with adaptive similarity measure", Chemometrics and Intelligent Laboratory Systems, Vol. 124, (2013), 43- 49.
7
8. Komulainena, T., Souranderb, M. and Jämsä-Jounela, S.-L., "An online application of dynamic pls to a de-aromatization process", Computers & Chemical Engineering, Vol. 28, No. 12, (2004).
8
9. Shao, W., Tian, X., Wang, P., Deng, X. and Chen, S., "Online soft sensor design using local partial least squares models with adaptive process state partition", Chemometrics and Intelligent Laboratory Systems, Vol. 144, (2015), 108- 121.
9
10. Ge, Z. and Song, Z., "Semi supervised bayesian method for soft sensor modeling with unlabeled data samples", AIChE Journal, Vol. 57, No. 8, (2011), 2109–2119
10
11. Wang, Y.-J., Jia, M.-X. and Mao, Z.-Z., "A fast monitoring method for multiple operating batch processes with incomplete modeling data types", Journal of Industrial and Engineering Chemistry, Vol. 21, (2015), 328-337.
11
12. Zhang, X., Yan, W., Zhao, X. and Shao, H., "Nonlinear real-time process monitoring and fault diagnosis based on principal component analysis and kernel fisher discriminant analysis", Chemical Engineering & Technology, Vol. 30, No. 9, (2007), 1203–1211.
12
13. Ma, M.-D., Kob, J.-W., Wang, S.-J., Wud, M.-F., Jangd, S.-S., Shiehe, S.-S. and Wong, D.S.-H., "Development of adaptive soft sensor based on statistical identification of key variables", Control Engineering Practice, Vol. 17, No. 9, (2009), 1026- 1034.
13
14. Chew, C.M., Aroua, M.K. and Hussain, M.A., "A practical hybrid modelling approach for the prediction of potential fouling parameters in ultrafiltration membrane water treatment plant", Journal of Industrial and Engineering Chemistry, Vol. 45, (2017), 145-155.
14
15. Naeini, M.K. and Bayati, N., "Pattern recognition in control chart using neural network based on a new statistical feature", International Journal of Engineering, Vol. 30, No. 9, (2017), 1372-1380.
15
16. Park, S. and Ha, C., "A nonlinear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns", Computers & Chemical Engineering, Vol. 24, No. 2-7, (2000), 871- 877.
16
17. Kadlec, P. and Gabrys, B., "Adaptive local learning soft sensor for inferential control support", in Computational Intelligence for Modelling Control & Automation, Vienna, Austria IEEE., (2008 of Conference).
17
18. Radhakrishnan, V.R. and Mohamed, A.R., "Neural networks for the identification and control of blast furnace hot metal quality", Journal of Process Control, Vol. 10, No. 6, (2000), 509- 524.
18
19. Liu, Y. and Chen, J., "Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes", Journal of Process Control, Vol. 23, No. 6, (2013), 793-804.
19
20. Jin, H., Chen, X., Yang, J. and Wu, L., "Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for non- linear multiphase batch processes", Computers & Chemical Engineering, Vol. 71, (2014), 77-93.
20
21. Fujiwara, K., Kano, M., Hasebe, S. and Takinami, A., "Soft-sensor development using correlation-based just-in-time modeling", AIChE Journal, Vol. 55, No. 7, (2009), 1754-1765.
21
22. Kadlec, P. and Gabrys, B., "Adaptive online prediction soft sensing without historical data", in Neural Networks (IJCNN), The 2010 International Joint Conference, Barcelona, Spain IEEE., (2010 of Conference), 1-8.
22
23. Ge, Z. and Song, Z., "A comparative study of just-in-time-learning based methods for online soft sensor modeling", Chemometrics and Intelligent Laboratory Systems, Vol. 104, No. 2, (2010) 306-317.
23
24. Bosca, S. and Fissore, D., "Design and validation of an innovative soft-sensor for pharmaceuticals freeze-drying monitoring", Chemical Engineering Science, Vol. 66, No. 21, (2011), 5127- 5136.
24
25. Khatibisepehr, S., Huang, B. and Khare, S., "Design of inferential sensors in the process industry: A review of bayesian methods", Journal of Process Control, Vol. 23, No. 10, (2013), 1575- 1596.
25
26. McIntyre, N., Young, P., Orellana, B., Marshall, M., Reynolds, B. and Wheater, H., "Identification of nonlinearity in rainfall-flow response using data-based mechanistic modeling", Water Resources Research, Vol. 47, No., (2011). doi: 10.1029/2010WR009851
26
27. Abbasi, M., Soleymani, A.R. and Parssa, J.B., "Operationsimulation of a recycled electrochemical ozone generator using artificial neural network", Chemical Engineering Research and Design, Vol. 92, No. 11, (2014), 2618–2625.
27
28. Hosen, M.A., Khosravi, A., Nahavandi, S. and Creighton, D., "Prediction interval-based neural network modeling of polystyrene polymerization reactor—a new perspective of data-based modeling", Chemical Engineering Research and Design, Vol. 92, No. 11, (2014), 2041–2051.
28
29. Mitra, K. and Ghivari, M., "Modeling of an industrial wet grinding operation using data-driven techniques. Comput", Computers & Chemical Engineering, Vol. 30, No. 3, (2006), 508-520.
29
30. Bidar, B., Sadeghi, J., Shahraki, F. and Khalilipour, M.M., "Data-driven soft sensor approach for online quality prediction using state dependent parameter models", Chemometrics and Intelligent Laboratory Systems, Vol. 162, (2017), 130–141.
30
31. Taylor, C.J., Pedregal, D.J., Young, P. and Tych, W., "Environmental time series analysis and forecasting with the captain toolbox", Environmental Modelling & Software, Vol. 22, (2007), 797-814.
31
32. Young, P.C., "Recursive estimation and time-series analysis", Seconded ed, New York, Springer, (2011).
32
33. Young, P.C., MCKENNA, P. and BRUUN, J., "Identification of non-linear stochastic systems by state dependent parameter estimation", International Journal of Control, Vol. 74, (2001), 1837-1857.
33
34. Pedregal, D.J., Taylor, C.J. and Young, P.C., "System identification, time series analysis and forecasting: The captain toolbox handbook, Faculty of Science and Technology, Lancaster Environment Centrer, Lancaster University, United Kingdom, (2007).
34
35. Sadeghi, J., "Modelling and control of non-linear systems using state-dependent parameter (SDP) models and proportional-integral-plus (pip)control method", Lancaster University, Centre for Research on Environmental System and Statistics, United Kingdom, PhD, (2006),
35
36. Young, P.C., Data-based mechanistic modeling: Natural philosophy revisited?, in System identification, environmental modelling, and control system design. 2011, Springer. 321-340.
36
37. Young, P.C., kenna, P.M. and Bruun, J., "Identification of nonlinear stochastic systems by state dependent parameter estimation", International Journal of Control, Vol. 74, No. 18, (2001), 1837-1857.
37
38. Snipes, M. and Taylor, D.C., "Model selection and akaike information criteria: An example from wine ratings and prices", Wine Economics and Policy, Vol. 3, No. 1, (2014), 3-9.
38
39. Dziak, J., Li, R. and Collins, L., Critical review and comparison of variable selection procedures for linear regression (technical report). 2005, Methodology Center, Penn State University.
39
40. Lees, M.J., "Data-based mechanistic modeling and forecasting of hydrological systems", Journal of Hydroinformatics, Vol. 2, No. 1, (2000), 15-34.
40
41. Fortuna, L., Rizzo, A., Sinatra, M. and Xibilia, M.G., "Soft analyzers for a sulfur recovery unit", Control Engineering Practice, Vol. 11, No. 12, (2003), 1491-1500.
41
42. Shao, W., Tian, X. and Wang, P., "Local partial least squares based online soft sensing method for multi-output processes with adaptive process states division", Chinese Journal of Chemical Engineering, Vol. 22, No. 7, (2014), 828- 836.
42
43. Graziani, S., Napoli, G. and Xibilia, M.G., "Soft sensor design for a sulfur recovery unit using a clustering based approach", in Measurement Technology Conference, Victoria, BC, Canada IEEE, (2008 of Conference).
43
ORIGINAL_ARTICLE
Isolationand Characterization of Nanocrystal from Corncob Waste Using H2SO4 Hydrolysis Method (RESEARCH NOTE)
Corncob is one of the industrial waste has cellulose content of 39.1 wt%, which makes it has high potential to be a raw material in the production of cellulose nanocrystal. Corncob was delignificated with 3.5 wt% HNO3 and NaNO2 10 mg, precipitated process with 17.5 wt% NaOH, and bleached with 10 wt% H2O2. Cellulose nanocrystal was obtained by hydrolysis using 45 wt% H2SO4. Corncob and cellulose nanocrystal was characterized by Fourier Transform Infra Red (FTIR) and showed that the absorption peak indicated the presence of cellulose clusters was obtained from corncob and cellulose nanocrystal has many similarities and there was no new bond formation. Cellulose nanocrystal particle size was observed by Transmission Electron Microscopy (TEM) and the result showed the size of cellulose nanocrystal was 9-29 nm. Crystallinity index of cellulose nanocrystal from corncob determined by X-Ray Diffraction (XRD) was 70%. This showed the atomic structure of cellulose nanocrystal quite regular so obtained a high crystallinity index.
https://www.ije.ir/article_73149_8d66366d95de0f51624f1cc33b740297.pdf
2018-04-01
533
537
Cellulose Nanocrystal
Corncob
Crystallinity Index
Delignification
Hydrolysis
H
Harahap
hamidah.usu@gmail.com
1
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
LEAD_AUTHOR
R
Nawansyah
ridhonawansyahritonga@gmail.com
2
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
AUTHOR
H
Nasution
h_dahliana@yahoo.com
3
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
AUTHOR
T
Taslim
4
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
AUTHOR
I
Iriany
5
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
AUTHOR
1. Pointner, M., Kuttner, P., Obrlik, T., Jager, A. and Kahr, H., "Composition of corncobs as a substrate for fermentation of biofuels", Agronomy Research, Vol. 12, No. 2, (2014), 391-396.
1
2. Ashour, A., Amer, M., Marzouk, A., Shimizu, K., Kondo, R. and El-Sharkawy, S., "Corncobs as a potential source of functional chemicals", Molecules, Vol. 18, No. 11, (2013), 13823-13830.
2
3. Klemm, D., Kramer, F., Moritz, S., Lindstrom, T., Ankerfors, M., Gray, D. and Dorris, A., "Nanocelluloses: A new family of nature‐based materials", Angewandte Chemie International Edition, Vol. 50, No. 24, (2011), 5438-5466.
3
4. Peng, B.L., Dhar, N., Liu, H. and Tam, K., "Chemistry and applications of nanocrystalline cellulose and its derivatives: A nanotechnology perspective", The Canadian Journal of Chemical Engineering, Vol. 89, No. 5, (2011), 1191-1206.
4
5. Jonoobi, M., Mathew, A.P. and Oksman, K., "Producing low-cost cellulose nanofiber from sludge as new source of raw materials", Industrial Crops and Products, Vol. 40, (2012), 232-238.
5
6. Leão, A.L., Cherian, B.M., de Souza, S.F., Sain, M., Narine, S., Caldeira, M.S. and Toledo, M.A.S., "Use of primary sludge from pulp and paper mills for nanocomposites", Molecular Crystals and Liquid Crystals, Vol. 556, No. 1, (2012), 254-263.
6
7. Meng, Y., Wu, Q., Young, T.M., Huang, B., Wang, S. and Li, Y., "Analyzing three‐dimensional structure and geometrical shape of individual cellulose nanocrystal from switchgrass", Polymer Composites, Vol. 38, No. 11, (2017), 2368-2377.
7
8. Kargarzadeh, H., Ahmad, I., Abdullah, I., Dufresne, A., Zainudin, S.Y. and Sheltami, R.M., "Effects of hydrolysis conditions on the morphology, crystallinity, and thermal stability of cellulose nanocrystals extracted from kenaf bast fibers", Cellulose, Vol. 19, No. 3, (2012), 855-866.
8
9. Liu, D., Chen, X., Yue, Y., Chen, M. and Wu, Q., "Structure and rheology of nanocrystalline cellulose", Carbohydrate Polymers, Vol. 84, No. 1, (2011), 316-322.
9
10. Morais, J.P.S., de Freitas Rosa, M., Nascimento, L.D., do Nascimento, D.M. and Cassales, A.R., "Extraction and characterization of nanocellulose structures from raw cotton linter", Carbohydrate Polymers, Vol. 91, No. 1, (2013), 229-235.
10
11. de Morais Teixeira, E., Corrêa, A.C., Manzoli, A., de Lima Leite, F., de Oliveira, C.R. and Mattoso, L.H.C., "Cellulose nanofibers from white and naturally colored cotton fibers", Cellulose, Vol. 17, No. 3, (2010), 595-606.
11
12. Orue, A., Santamaria‐Echart, A., Eceiza, A., Peña‐Rodriguez, C. and Arbelaiz, A., "Office waste paper as cellulose nanocrystal source", Journal of Applied Polymer Science, Vol. 134, No. 35, (2017).
12
13. Mariano, M., Chirat, C., El Kissi, N. and Dufresne, A., "Impact of cellulose nanocrystal aspect ratio on crystallization and reinforcement of poly (butylene adipate‐co‐terephthalate)", Journal of Polymer Science Part B: Polymer Physics, Vol. 54, No. 22, (2016), 2284-2297.
13
14. Harahap, H., Lubis, M. and Hayat, N., "Sukardi, effect of aging process on elongation at break and morphology of natural rubber latex film filled with nanocrystalline cellulose and alkanolamide", International Journal of Material Science, (2016), 97-102.
14
15. Fortunati, E., Puglia, D., Monti, M., Santulli, C., Maniruzzaman, M. and Kenny, J., "Cellulose nanocrystals extracted from okra fibers in pva nanocomposites", Journal of Applied Polymer Science, Vol. 128, No. 5, (2013), 3220-3230.
15
16. Agustin, M.B., Ahmmad, B., Alonzo, S.M.M. and Patriana, F.M., "Bioplastic based on starch and cellulose nanocrystals from rice straw", Journal of Reinforced Plastics and Composites, Vol. 33, No. 24, (2014), 2205-2213.
16
17. Aulia, F., "Studi penyediaan nanokristal selulosa dari tandan kosong sawit (TKS)", Saintia Kimia, Vol. 1, No. 2, (2013).
17
18. Sain, M. and Panthapulakkal, S., "Bioprocess preparation of wheat straw fibers and their characterization", Industrial Crops and Products, Vol. 23, No. 1, (2006), 1-8.
18
19. Lubis, M., Harahap, M.B., Ginting, M.H.S., Sartika, M. and Azmi, H., "Effect of microcrystalline cellulose (MCC) from sugar palm fibres and glycerol addition on mechanical properties of bioplastic from avocado seed starch (persea americana mill)", (2016), 1-10.
19
20. Abdassah, M., "Nanopartikel dengan gelasi ionik", Farmaka, Vol. 15, No. 1, (2017).
20
21. Xiang, Q., Lee, Y., Pettersson, P.O. and Torget, R.W., Heterogeneous aspects of acid hydrolysis of α-cellulose, in Biotechnology for fuels and chemicals. (2003), Springer.505-514.
21
22. Chang, P.R., Jian, R., Yu, J. and Ma, X., "Fabrication and characterisation of chitosan nanoparticles/plasticised-starch composites", Food Chemistry, Vol. 120, No. 3, (2010), 736-740.
22
23. Harahap, H., Hayat, N. and Lubis, M., "Preparation and application of nanocrystalline cellulose derived from sugarcane waste as filler modified alkanolamide on crosslink of natural rubber latex film", in AIP Conference Proceedings, AIP Publishing. Vol. 1865, (2017), 040012.
23
24. Sugondo and Badruzzaman, M., "Karakterisasi kristalinitas bahan kristalin dengan difraksi sinar x", Prosiding Seminar Nasional Hamburan Neutron dan Sinar X Ke 2, Vol. 2, (1999), 1410-7686.
24
25. Segal, L., Creely, J., Martin Jr, A. and Conrad, C., "An empirical method for estimating the degree of crystallinity of native cellulose using the x-ray diffractometer", Textile Research Journal, Vol. 29, No. 10, (1959), 786-794.
25
26. Lu, H., Gui, Y., Zheng, L. and Liu, X., "Morphological, crystalline, thermal and physicochemical properties of cellulose nanocrystals obtained from sweet potato residue", Food Research International, Vol. 50, No. 1, (2013), 121-128.
26
ORIGINAL_ARTICLE
Free Vibration of a Generalized Plane Frame
This article deals with the free in-plane vibration analysis of a frame with four arbitrary inclined members by differential transform method. Based on four differential equations and sixteen boundary and compatibility conditions, the related structural eigenvalue problem will be analytically formulated. The frequency parameters and mode shapes of the frame will be calculated for various values of the structural properties, such as joint angles, springs' stiffness and flexural rigidity of members. Finally, the obtained solution by the proposed method will be verified by authors' finite element program.
https://www.ije.ir/article_73150_706cc0e217ecfdd8f4a6b541762547b8.pdf
2018-04-01
538
547
Differential transform method
Free vibration
Plane Frames
Elastic Supports and Joints
M
Rezaiee-Pajand
rezaiee@um.ac.ir
1
Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
LEAD_AUTHOR
A
Aftabi Sani
2
Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
AUTHOR
S. M
Hozhabrossadati
3
Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
AUTHOR
1. Filipich, C. and Laura, P., "In-plane vibrations of portal frames with end supports elastically restrained against rotation and translation", Journal of Sound Vibration, Vol. 117, (1987), 467-473.
1
2. Kounadis, A. and Meskouris, K., "The coupling effect of axial motion and joint mass on the lateral vibrations of a rigid‐jointed triangular frame", Earthquake Engineering & Structural Dynamics, Vol. 15, No. 4, (1987), 447-461.
2
3. Laura, P., De Greco, B.V. and Filipich, C., "In-plane vibrations of frames carrying concentrated masses", Journal of Sound and Vibration, Vol. 117, No. 3, (1987), 447-458.
3
4. Filipich, C., de Greco, B.V. and Laura, P., "A note on the analysis of symmetric mode of vibrations of portal frames", Journal of Sound and Vibration, Vol. 117, No. 1, (1987), 198-201.
4
5. Chang, G.-S. and Chang, C.-H., "Out-of-plane vibrations of plane frames", Journal of Sound and Vibration, Vol. 147, No. 1, (1991), 137-154.
5
6. Lee, H., Natural frequencies and modes for the in-plane vibration of a triangular closed frame. 1993, Academic Press.
6
7. Lee, H. and Ng, T., In-plane vibration of planar frame structures. 1994, Academic Press.
7
8. Aktas, E. and Moses, F., "Reduced basis eigenvalue solutions for damaged structures∗", Journal of Structural Mechanics, Vol. 26, No. 1, (1998), 63-79.
8
9. Oguamanam, D., Hansen, J. and Heppler, G., "Vibration of arbitrarily oriented two-member open frames with tip mass", Journal of Sound and Vibration, Vol. 209, No. 4, (1998), 651-669.
9
10. Sophianopoulos, D., "The effect of joint flexibility on the free elastic vibration characteristics of steel plane frames", Journal of Constructional Steel Research, Vol. 59, No. 8, (2003), 995-1008.
10
11. Lin, H. and Ro, J., "Vibration analysis of planar serial-frame structures", Journal of Sound and Vibration, Vol. 262, No. 5, (2003), 1113-1131.
11
12. Heppler, G., Oguamanam, D. and Hansen, J., "Vibration of a two-member open frame", Journal of Sound and Vibration, Vol. 263, No. 2, (2003), 299-317.
12
13. Mei, C., "In-plane vibrations of classical planar frame structures—an exact wave-based analytical solution", Journal of Vibration and Control, Vol. 16, No. 9, (2010), 1265-1285.
13
14. Kaveh, A. and Aalizadeh Arvanaq, R., "Free vibration of symmetric planar frames via the force method and canonical forms", International Journal for Numerical Methods in Biomedical Engineering, Vol. 27, No. 6, (2011), 936-961.
14
15. Rezaiee-Pajand, M. and Khajavi, R., "Vibration analysis of plane frames by customized stiffness and diagonal mass matrices", Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 225, No. 12, (2011), 2848-2863.
15
16. Şakar, G., Öztürk, H. and Sabuncu, M., "Dynamic stability of multi-span frames subjected to periodic loading", Journal of Constructional Steel Research, Vol. 70, No., (2012), 65-70.
16
17. Mei, C., "Free vibration analysis of classical single-story multi-bay planar frames", Journal of Vibration and Control, Vol. 19, No. 13, (2013), 2022-2035.
17
18. Yucel, A., Arpaci, A. and Tufekci, E., "Coupled axial-flexural-torsional vibration of timoshenko frames", Journal of Vibration and Control, Vol. 20, No. 15, (2014), 2366-2377.
18
19. Ratazzi, A.R., Bambill, D.V. and Rossit, C.A., "Free vibrations of beam system structures with elastic boundary conditions and an internal elastic hinge", Chinese Journal of Engineering, Vol. 2013, (2013).
19
20. Failla, G., "An exact generalised function approach to frequency response analysis of beams and plane frames with the inclusion of viscoelastic damping", Journal of Sound and Vibration, Vol. 360, (2016), 171-202.
20
21. Rezaiee-Pajand, M., Sani, A.A. and Hozhabrossadati, S.M., "Application of differential transform method to free vibration of gabled frames with rotational springs", International Journal of Structural Stability and Dynamics, Vol. 17, No. 01, (2017), 1750012.
21
22. Rezaiee-Pajand, M., Sani, A.A. and Hozhabrossadati, S.M., "Free vibration analysis of a six-degree-of-freedom mass-spring system suitable for dynamic vibration absorbing of space frames", International Journal of Engineering-Transactions A: Basics, Vol. 30, No. 1, (2016), 30-39.
22
23. Albarracín, C.M. and Grossi, R.O., "Vibrations of elastically restrained frames", Journal of Sound and Vibration, Vol. 285, No. 1-2, (2005), 467-476.
23
24. Grossi, R. and Albarracín, C., "A variational approach to vibrating frames", Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, Vol. 221, No. 2, (2007), 247-259.
24
25. Grossi, R.O. and Albarracín, C.M., "Variational approach to vibrations of frames with inclined members", Applied Acoustics, Vol. 74, No. 3, (2013), 325-334.
25
26. Chang, C., "Vibrations of frames with inclined members", Journal of Sound and Vibration, Vol. 56, No. 2, (1978), 201-214.
26
27. Kounadis, A., "Bending eigenfrequencies of a two-bar frame including the effect of axial inertia", AIAA Journal, Vol. 23, No. 12, (1985), 2000-2002.
27
28. Rao, S.S., "Vibration of continuous systems, John Wiley & Sons, (2007).
28
29. Hozhabrossadati, S.M. and Sani, A.A., "Free vibration of mdof systems with nonperiodically time-varying mass", International Journal of Structural Stability and Dynamics, (2017), 1850077.
29
ORIGINAL_ARTICLE
Behavioral Interference of Vibrating Machines Foundations Constructed on Sandy Soils (RESEARCH NOTE)
In this study, dynamic bearing capacity of adjacent shallow strip foundations located on sandy soil was examined using a numerical finite difference modeling, FLAC. The behavioral interference of shallow strip foundations under different conditions was investigated. The effect of soil strength parameters, geometric characteristics of shallow foundations and cyclic loads at different distance ratios on the bearing capacity of foundations were evaluated. The results indicated the noticeable effect of behavioral interference on the performance of shallow foundations under cyclic loading. As the distance ratio between the foundations increases, the interference effect increased and then decreased. The greatest influence of behavioral interference on the dynamic bearing capacity of foundations was obtained at distance ratio of 2. The interference effect canceled out at the distance ratio of larger than 5. Furthermore, the effect of behavioral interference on the bearing capacity of shallow foundations increased with increasing internal friction angle, soil elasticity modulus, and foundation depth. An increase in the foundation width and loading frequency led to lower interference coefficient. In general, the results demonstrate the necessity of considering the interference effect in the assessment of the bearing capacity of shallow foundations under cyclic loading such as vibrating machines foundation.
https://www.ije.ir/article_73151_b441d2960512b6ccb3e19341163f4a51.pdf
2018-04-01
548
553
Dynamic Bearing Capacity
Machine Foundation
Sandy Soil
Interference Effect
FLAC
H
Javdanian
javdanian@sku.ac.ir
1
Department of Civil Engineering, Shahrekord University, Shahrekord, Iran
LEAD_AUTHOR
Bandyopadhyay, B. and Meek, J.L., "Harmonic response of pile groups to dynamic loading", International Journal of Engineering, Vol. 1, No. 1, (1988), 29-36.
1
Makarchian, M., "An experimental study of foundation underpinning by piles", International Journal of Engineering Transaction B: Applications, Vol. 15, No. 1, (2002), 11-22.
2
Gupta, R. and Trivedi, A., "Behavior of model circular footings on silty soils with cellular supports", International Journal of Engineering Transaction B: Applications, Vol. 23, No. 1, (2010), 21-35.
3
Gheyratmand, C., "Employing foundation nonlinearity to mitigate seismic demand in superstructure", International Journal of Engineering Transaction B: Applications, Vol. 29, No. 5, (2016), 606-614
4
Hassaan, G.A., "Optimal Design of Machinery Shallow Foundations With Clay Soils", International Journal of Mechanical Engineering & Technology, Vol. 5, No. 3, (2014), 91-103.
5
Ha, I.S. and Han, J.T., "Evaluation of the allowable axial bearing capacity of a single pile subjected to machine vibration by numerical analysis", International Journal of Geo-Engineering, Vol. 7, No. 1, (2016), 22.
6
Bounds, W.L. and Wong, S.S. "Comparison of Foundation Design Specifications for Vibratory Machines", Practice Periodical on Structural Design and Construction, Vol. 21, No. 3, (2016), 04016009.
7
Chen, S.S., Liao, K.H. and Shi, J.Y. "A dimensionless parametric study for forced vibrations of foundation–soil systems", Computers and Geotechnics, Vol. 76, (2016), 184-193.
8
Chowdhury, I. and Dasgupta, S.P. "Dynamic Bearing Capacity of Shallow Foundation Under Earthquake Force”, Indian Geotechnical Journal, Vol. 47, No. 1, (2017), 35-46.
9
Conti, R., "Simplified formulas for the seismic bearing capacity of shallow strip foundations", Soil Dynamics and Earthquake Engineering, Vol. 104, (2018), 64-74.
10
Gazetas, G., "Analysis of machine foundation vibrations: state of the art", International Journal of Soil Dynamics and Earthquake Engineering, Vol. 2, No. 1, (1983), 2-42.
11
Anteneh, M., "Vibration analysis and design of block-type machine foundation interacting with soil", Ph.D. Thesis, School of Graduate Studies, Addis Ababa University, (2003).
12
Prakash, S. and Puri, V.K., "Foundations for vibrating machines", Journal of structural Engineering, Vol. 33, No. 1, (2006), 13-29.
13
Chandrakaran, S., Vijayan, P. and Ganesan, N., "A simplified procedure for design of machine foundations subjected to vertical vibrations", Journal of the Institution of Engineers. India. Civil Engineering Division, Vol. 88, No. 5, (2007), 3-12.
14
Pradhan, P.K., Mandal, A., Baidya, D.K. and Ghosh, D.P., "Dynamic response of machine foundation on layered soil: cone model versus experiments", Geotechnical and geological engineering, Vol. 26, No. 4, (2008), 453-468.
15
Marandi, S.M., Javdanian, H., "Laboratory studies on bearing capacity of strip interfering shallow foundations supported by geogrid-reinforced sand", Advanced Materials Research, Vol. 472, (2012), 1856-1869.
16
Lee, J. and Eun, J., "Estimation of bearing capacity for multiple footings in sand", Computers and geotechnics, Vol. 36, No. 6, (2009), 1000-1008.
17
Javdanian, H., Haddad, A. and Mehrzad, B., "Interference effect on bearing capacity of multiple shallow foundations supported by geosynthetic-reinforced sand", 5th Asian Regional Conference on Geosynthetics, 13 December, Bangkok, Thailand, (2012).
18
Stuart, J.G., "Interference between foundations, with special reference to surface footings in sand", Geotechnique, Vol. 12, No. 1, (1962), 5-22.
19
Das, B.M. and Larbi-Cherif, S., "Bearing capacity of two closely-spaced shallow foundations on sand", Soils and Foundations, Vol. 23, No. 1, (1983), 1-7.
20
Kumar, J. and Ghosh, P., "Ultimate bearing capacity of two interfering rough strip footings", International Journal of Geomechanics, Vol. 7, No. 1, (2007), 53-62.
21
Kumar, J. and Ghosh, P., "Upper bound limit analysis for finding interference effect of two nearby strip footings on sand", Geotechnical and Geological Engineering, Vol. 25, No. 5, (2007), doi: https://doi.org/10.1007/s10706-007-9124-9
22
Kumar, J. and Bhoi, M.K., "Interference of two closely spaced strip footings on sand using model tests", Journal of Geotechnical and Geoenvironmental Engineering, Vol. 135, No. 4, (2009), 595-604.
23
Javdanian, H., Haddad, A. and Mehrzad, B., "Experimental and numerical investigation of the bearing capacity of adjacent footings on reinforced soil", Electronic Journal of Geotechnical Engineering, Vol. 17, No. R, (2012), 2597-2617.
24
Javdanian, H., Hamedi, A. and Ayoubi, H., "Interference effect on bearing capacity of shallow foundations constructed on geosynthetic-reinforced soil", 9th International Congress on Civil Engineering, 8 May, Isfahan, Iran, (2012).
25
Javdanian, H., "The effect of geopolymerization on the unconfined compressive strength of stabilized fine-grained soils", International Journal of Engineering Transaction B: Applications, Vol. 30, No. 11, (2017), 1673-1680.
26
Itasca, FLAC: fast lagrangian analysis of continua. Version 7.0 [computer program]. Minneapolis, Minn: Itasca Consulting Group Inc. (2011).
27
Marandi, S.M. and Rasti, A.R. "Parametric study of the covering soil of tunnels constructed in liquefiable soil", International Journal of Engineering Transaction A: Basics, Vol. 25, No. 4, (2012), 333-346.
28
Hassani, R. and Basirat, R., "The investigation of subsidence effect on buried pipes in 3D space", International Journal of Engineering Transaction B: Applications, Vol. 30, No. 8, (2017), 1182-1189
29
Baidya, D. K. and Mandal, A., “Dynamic response of footing resting on a layered soil system", West Indian journal of engineering, Vol. 28, No. 2, (2006), 65-79.
30
American Concrete Institute (ACI), "Foundations for dynamic equipment", ACI 351.3R-94, Farmington Hills, MI, (2004).
31
ORIGINAL_ARTICLE
Nitrate Removal from Aqueous Solutions Using Granular Activated Carbon Modified with Iron Nanoparticles (RESEARCH NOTE)
Nitrate contamination of water resources and the growing concentration of nitrate endanger human health and the environment and considering its reduction strategies from water resources is important. The aim of this study was to investigate the possibility of removal of nitrate from aqueous solutions using granular activated carbon from grape wood coated with iron nanoparticles. The results showed that more than 99% of the nitrate was removed from the solution using granular activated carbon/nanoparticles zero valent iron (GAC/NZVI). The nitrate adsorption process by GAC followed the Freundlich isotherm (R2 = 0.95) and NZVI and GAC/NZVI followed Langmuir isotherm (R2 = 0.96). Furthermore, the kinetic studies of all three adsorbents for nitrate adsorption showed the highest correlation with the pseudo-second order equation. According to the results of this study, it can be stated that activated carbon derived from grape wood coated by iron nanoparticles as a relatively cheap adsorbent is efficient in nitrate removal from water.
https://www.ije.ir/article_73152_e3c0dbb71b546a8e678307f0cc440d03.pdf
2018-04-01
554
563
Nitrate
Activated carbon
Iron nanoparticles
Adsorption
B
Kamarehie
b.kamarehie@gmail.com
1
Nutrition Health Research Center, Department of Environment Health, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
LEAD_AUTHOR
E
Aghaali
aghaali.anis@gmail.com
2
Department of Environment Health, Lorestan University of Medical Sciences, Khorramabad, Iran
AUTHOR
SA
Mousavi
seyyedarm@yahoo.com
3
Department of Environment Health, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
AUTHOR
SY
Hashemi
s.yaser.hashemi@gmail.com
4
Department of Environment Health, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
AUTHOR
A
Jafari
jafari_a99@yahoo.com
5
Nutrition Health Research Center, Department of Environment Health, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
AUTHOR
1. Oh, S.-Y., Seo, Y.-D., Kim, B., Kim, I.Y. and Cha, D.K., "Microbial reduction of nitrate in the presence of zero-valent iron and biochar", Bioresource Technology, Vol. 200, (2016), 891-896.
1
2. Luo, J., Song, G., Liu, J., Qian, G. and Xu, Z.P., "Mechanism of enhanced nitrate reduction via micro-electrolysis at the powdered zero-valent iron/activated carbon interface", Journal of Colloid and Interface Science, Vol. 435, (2014), 21-25.
2
3. FADAEE, T.M., VOSOUGHI, M., SHAMSAEI, A. and NOORI, M., "Improvement in groundwater resources contaminated with nitrate using nano zero valent iron/nickel particles", (2015).
3
4. Li, J., Li, Y. and Meng, Q., "Removal of nitrate by zero-valent iron and pillared bentonite", Journal of Hazardous Materials, Vol. 174, No. 1, (2010), 188-193.
4
5. Hwang, Y.-H., Kim, D.-G. and Shin, H.-S., "Mechanism study of nitrate reduction by nano zero valent iron", Journal of Hazardous Materials, Vol. 185, No. 2, (2011), 1513-1521.
5
6. Nunell, G., Fernandez, M., Bonelli, P. and Cukierman, A., "Nitrate uptake improvement by modified activated carbons developed from two species of pine cones", Journal of colloid and Interface Science, Vol. 440, (2015), 102-108.
6
7. Zhang, H., Jiang, J., Li, M., Yan, F., Gong, C. and Wang, Q., "Biological nitrate removal using a food waste-derived carbon source in synthetic wastewater and real sewage", Journal of Environmental Management, Vol. 166, (2016), 407-413.
7
8. Hekmatzadeh, A., Karimi-Jashani, A., Talebbeydokhti, N. and Kløve, B., "Modeling of nitrate removal for ion exchange resin in batch and fixed bed experiments", Desalination, Vol. 284, No., (2012), 22-31.
8
9. Rodríguez-Maroto, J., García-Herruzo, F., García-Rubio, A., Gómez-Lahoz, C. and Vereda-Alonso, C., "Kinetics of the chemical reduction of nitrate by zero-valent iron", Chemosphere, Vol. 74, No. 6, (2009), 804-809.
9
10. SHAH, P.M., Raghimi, M. and Khademi, M., "The environmental impact of urban development on nitrate contamination of groundwater resources in gorgan district, ne iran", (2005).
10
11. Organization, W.H., "Guidelines for drinking-water quality [electronic resource]: Incorporating 1st and 2nd addenda, vol. 1, recommendations", (2008).
11
12. Ayala, A., Leal, L., Ferrer, L. and Cerdà, V., "Multiparametric automated system for sulfate, nitrite and nitrate monitoring in drinking water and wastewater based on sequential injection analysis", Microchemical Journal, Vol. 100, (2012), 55-60.
12
13. Bhatnagar, A. and Sillanpää, M., "A review of emerging adsorbents for nitrate removal from water", Chemical Engineering Journal, Vol. 168, No. 2, (2011), 493-504.
13
14. Kalaruban, M., Loganathan, P., Shim, W., Kandasamy, J., Naidu, G., Nguyen, T.V. and Vigneswaran, S., "Removing nitrate from water using iron-modified dowex 21k xlt ion exchange resin: Batch and fluidised-bed adsorption studies", Separation and Purification Technology, Vol. 158, (2016), 62-70.
14
15. Samatya, S., Kabay, N., Yüksel, Ü., Arda, M. and Yüksel, M., "Removal of nitrate from aqueous solution by nitrate selective ion exchange resins", Reactive and Functional Polymers, Vol. 66, No. 11, (2006), 1206-1214.
15
16. Schoeman, J. and Steyn, A., "Nitrate removal with reverse osmosis in a rural area in south africa", Desalination, Vol. 155, No. 1, (2003), 15-26.
16
17. Li, M., Feng, C., Zhang, Z., Yang, S. and Sugiura, N., "Treatment of nitrate contaminated water using an electrochemical method", Bioresource Technology, Vol. 101, No. 16, (2010), 6553-6557.
17
18. Liu, Y., Li, S., Chen, Z., Megharaj, M. and Naidu, R., "Influence of zero-valent iron nanoparticles on nitrate removal by paracoccus sp", Chemosphere, Vol. 108, (2014), 426-432.
18
19. Shi, J., Yi, S., He, H., Long, C. and Li, A., "Preparation of nanoscale zero-valent iron supported on chelating resin with nitrogen donor atoms for simultaneous reduction of Pb2+ and", Chemical Engineering Journal, Vol. 230, (2013), 166-171.
19
20. Cho, D.-W., Song, H., Schwartz, F.W., Kim, B. and Jeon, B.-H., "The role of magnetite nanoparticles in the reduction of nitrate in groundwater by zero-valent iron", Chemosphere, Vol. 125, (2015), 41-49.
20
21. Ota, K., Amano, Y., Aikawa, M. and Machida, M., "Removal of nitrate ions from water by activated carbons (ACS)—influence of surface chemistry of acs and coexisting chloride and sulfate ions", Applied Surface Science, Vol. 276, (2013), 838-842.
21
22. Guo, X., Yang, Z., Liu, H., Lv, X., Tu, Q., Ren, Q., Xia, X. and Jing, C., "Common oxidants activate the reactivity of zero-valent iron (zvi) and hence remarkably enhance nitrate reduction from water", Separation and Purification Technology, Vol. 146, No., (2015), 227-234.
22
23. Mohammadi, A., Alinejad, A., Kamarehie, B., Javan, S., Ghaderpoury, A., Ahmadpour, M. and Ghaderpoori, M., "Metal-organic framework uio-66 for adsorption of methylene blue dye from aqueous solutions", International Journal of Environmental Science and Technology, No. 1-10.
23
24. Kassaee, M., Motamedi, E., Mikhak, A. and Rahnemaie, R., "Nitrate removal from water using iron nanoparticles produced by arc discharge vs. Reduction", Chemical Engineering Journal, Vol. 166, No. 2, (2011), 490-495.
24
25. Nunell, G., Fernández, M., Bonelli, P. and Cukierman, A., "Conversion of biomass from an invasive species into activated carbons for removal of nitrate from wastewater", Biomass and Bioenergy, Vol. 44, No., (2012), 87-95.
25
26. Liu, H.-Y., Wang, K.-P. and Teng, H., "A simplified preparation of mesoporous carbon and the examination of the carbon accessibility for electric double layer formation", Carbon, Vol. 43, No. 3, (2005), 559-566.
26
27. Tofighy, M.A. and Mohammadi, T., "Nitrate removal from water using functionalized carbon nanotube sheets", Chemical Engineering Research and Design, Vol. 90, No. 11, (2012), 1815-1822.
27
28. Shahmoradi, M., Amin Zade, B., Torabian, A. and Seyedsalehi, M., "Removal of nitrate from ground water using activated carbon prepared from rice husk and sludge of paper industry wastewater treatment", ARPN Journal of Engineering and Applied Sciences, Vol. 10, No. 17, (2015), 7856-7863.
28
29. Omidi, Y., Kamareei, B., Nourmoradi, H., Basiri, H. and Heidari, S., "Hexadecyl trimethyl ammonium bromide-modified montmorillonite as a low-cost sorbent for the removal of methyl red from liquid-medium", International Journal of Engineering-Transactions A: Basics, Vol. 29, No. 1, (2016), 60.
29
30. Haidari, S., Kamarehie, B., Jafari, A., Birjandi, M. and Afrasyabi, S., "Oxalic acid degradation from aqueous solution using ozonation process in the presence of magnesium oxide nanoparticles catalyst stabilized on activated carbon", International Journal of Environmental Health Engineering, Vol. 5, No. 1, (2016), 23-30.
30
31. Amin, N.K., "Removal of reactive dye from aqueous solutions by adsorption onto activated carbons prepared from sugarcane bagasse pith", Desalination, Vol. 223, No. 1-3, (2008), 152-161.
31
32. Mortazavi, B., Rasuli, L. and Kazemian, H., "Reduction of hexavalent chromium fromaqueous solution using modified zeolite cationic surfactant", Iranian Journal of Health and Environment, Vol. 3, No. 1, (2010), 37-46.
32
33. Silva, J.P., Sousa, S., Rodrigues, J., Antunes, H., Porter, J.J., Gonçalves, I. and Ferreira-Dias, S., "Adsorption of acid orange 7 dye in aqueous solutions by spent brewery grains", Separation and Purification Technology, Vol. 40, No. 3, (2004), 309-315.
33
34. Moussavi, G., Aghapour, A.A. and Yaghmaeian, K., "The degradation and mineralization of catechol using ozonation catalyzed with mgo/gac composite in a fluidized bed reactor", Chemical Engineering Journal, Vol. 249, (2014), 302-310.
34
35. Park, S.-J. and Jang, Y.-S., "Pore structure and surface properties of chemically modified activated carbons for adsorption mechanism and rate of cr (vi)", Journal of Colloid and Interface Science, Vol. 249, No. 2, (2002), 458-463.
35
36. Ahmaruzzaman, M., "Adsorption of phenolic compounds on low-cost adsorbents: A review", Advances in Colloid and Interface Science, Vol. 143, No. 1, (2008), 48-67.
36
37. Khan, M.A., Ahn, Y.-T., Kumar, M., Lee, W., Min, B., Kim, G., Cho, D.-W., Park, W.B. and Jeon, B.-H., "Adsorption studies for the removal of nitrate using modified lignite granular activated carbon", Separation Science and Technology, Vol. 46, No. 16, (2011), 2575-2584.
37
38. Bhatnagar, A., Ji, M., Choi, Y.H., Jung, W., Lee, S.H., Kim, S.J., Lee, G., Suk, H., Kim, H.S. and Min, B., "Removal of nitrate from water by adsorption onto zinc chloride treated activated carbon", Separation Science and Technology, Vol. 43, No. 4, (2008), 886-907.
38
39. Lee, W., "Adsorption studies for the removal of nitrate using modified lignite granular activated carbon", Yonsei University, (2011),
39
40. Dai, Y., Hu, Y., Jiang, B., Zou, J., Tian, G. and Fu, H., "Carbothermal synthesis of ordered mesoporous carbon-supported nano zero-valent iron with enhanced stability and activity for hexavalent chromium reduction", Journal of Hazardous Materials, Vol. 309, (2016), 249-258.
40
41. Öztürk, N. and Bektaş, T.E., "Nitrate removal from aqueous solution by adsorption onto various materials", Journal of Hazardous Materials, Vol. 112, No. 1, (2004), 155-162.
41
42. Demiral, H. and Gündüzoğlu, G., "Removal of nitrate from aqueous solutions by activated carbon prepared from sugar beet bagasse", Bioresource Technology, Vol. 101, No. 6, (2010), 1675-1680.
42
43. Mohammadi, A.S. and Sardar, M., "The removal of penicillin g from aqueous solutions using chestnut shell modified with h2so4: Isotherm and kinetic study", Iranian Journal of Health and Environment, Vol. 5, No. 4, (2013), 497-508.
43
44. Mullai, P. and Vishali, S., "Biodegradation of penicillin-g wastewater using phanerochate chrysosporium–an equilibrium and kinetic modeling", African Journal of Biotechnology, Vol. 6, No. 12, (2007).
44
45. Ho, Y.-S., "Review of second-order models for adsorption systems", Journal of Hazardous Materials, Vol. 136, No. 3, (2006), 681-689.
45
ORIGINAL_ARTICLE
Application of an Additive Self-tuning Controller for Static Synchronous Series Compensator for Damping of Sub-synchronous Resonance Oscillations
In this paper, an additive self-tuning (ST) control scheme is presented for a static synchronous series compensator (SSSC) to improve performance of conventional PI control system for damping sub-synchronous resonance (SSR) oscillations. The active and reactve series compensation are provided by a three-level 24-pulse SSSC and fixed capacitor. The proposed ST controller consists of a pole shift (PS) controller and a recursive least squares (RLS). The RLS identifier algorithm is used to estimate parameters of auto regressive moving average exogenous (ARMAX) model. With this scheme, there is no any necessity for retuning the PI controller parameters under different operational circumstances of the system. The SSR analysis are performed using eigenvalue analysis, transient simulation and FFT analysis. The considered test system is adapted from IEEE First Benchmark Model. As shown in the results, the proposed additive ST controller has an effective and acceptable performance for damping of SSR under different disturbances and operating conditions. It should be noted here that all digital simulations have been done by using MATLAB.
https://www.ije.ir/article_73153_7566dbcc28b30ebb8f8d20ed643f2950.pdf
2018-04-01
564
573
Static Synchronous Series Compensator
Sub
Synchronous Resonance
self
tuning
Auto Regressive Moving Average Exogenous
Recursive least squares
Pole Shift
M
Abbasi
maysamabbasi2011@gmail.com
1
Department of Electrical Engineering , Urmia University, Urmia, Iran
AUTHOR
H
Shayestehkhah
2
Department of Electrical Engineering , Urmia University, Urmia, Iran
AUTHOR
B
Tousi
b.tousi@urmia.ac.ir
3
Department of Electrical Engineering , Urmia University, Urmia, Iran
LEAD_AUTHOR
1. Padiyar, K., "Facts controllers in power transmission and distribution", (2007).
1
2. Lim, J.U. and Moon, S.I., "An analytical approach for the operation of series compensators to relieve power flow congestion", International Transactions on Electrical Energy Systems, Vol. 13, No. 4, (2003), 247-252.
2
3. Bera, P., Das, D. and Basu, T., "Tuning of excitation and tcsc-based stabilizers for multimachine power system", International Journal of Engineering, Transactions B: Applications, Vol. 23, No. 1, (2010), 37-52.
3
4. Padiyar, K., "Analysis of subsynchronous resonance in power systems, Springer Science & Business Media, (2012).
4
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30. Domahidi, A., Chaudhuri, B., Korba, P., Majumder, R. and Green, T.C., "Self-tuning flexible ac transmission system controllers for power oscillation damping: A case study in real time", IET generation, transmission & distribution, Vol. 3, No. 12, (2009), 1079-1089.
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31. Thirumalaivasan, R., Janaki, M. and Prabhu, N., "Damping of ssr using subsynchronous current suppressor with sssc", IEEE Transactions on Power Systems, Vol. 28, No. 1, (2013), 64-74.
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47
ORIGINAL_ARTICLE
An Efficient Hierarchical Modulation based Orthogonal Frequency Division Multiplexing Transmission Scheme for Digital Video Broadcasting
Due to the increase of users the efficient usage of spectrum plays an important role in digital terrestrial television networks. In digital video broadcasting, local and global content are transmitted by single frequency network and multifrequency network respectively. Multifrequency network support transmission of global content and it consumes large spectrum. Similarly local content are well supported by single frequency network. In order to provide better spectral efficiency both local and global contents are transmitted in single constellation using hierarchical modulation. Hierarchical modulated OFDM system provides good spectral efficiency and robustness to the fading environment. In this paper a hierarchical modulated OFDM system for local service insertion is analyzed and its performance under various channels is been discussed. Convolutional encoder is used in this paper.
https://www.ije.ir/article_73154_065d2bf4b6813b1890b0475030a40d8f.pdf
2018-04-01
574
579
Digital Video Broadcasting
Local Content
Global Content
Single Frequency Network
Orthogonal Frequency Division Multiplexing
Hierarchical Modulation
Quatrature Amplitude Modulation
Quadrature Phase Shift Keying
K
Chandra Kala
chandrakala@niuniv.com
1
Department of Electronics and Communication Engineering, NoorulIslam centre for Higher Education, Thuckalay, India
LEAD_AUTHOR
J
Jayakumari
jayakumarij72@gmail.com
2
Mar Baselios College of Engineering and Technology, Trivandrum, Kerala, India
AUTHOR
1. Nee, R.v. and Prasad, R., "Ofdm for wireless multimedia communications, Artech House, Inc., (2000).
1
2. Jiang, H. and Wilford, P.A., "A hierarchical modulation for upgrading digital broadcast systems", IEEE Transactions on Broadcasting, Vol. 51, No. 2, (2005), 223-229.
2
3. Jiang, H., Wilford, P.A. and Wilkus, S.A., "Providing local content in a hybrid single frequency network using hierarchical modulation", IEEE Transactions on Broadcasting, Vol. 56, No. 4, (2010), 532-540.
3
4. López-Sánchez, J., Zöllner, J., Atungsiri, S., Stare, E. and Gómez-Barquero, D., "Technical solutions for local service insertion in dvb-ngh single frequency networks", IEEE Transactions on Broadcasting, Vol. 60, No. 2, (2014), 293-301.
4
5. Méric, H., Lacan, J., Amiot-Bazile, C., Arnal, F. and Boucheret, M.-L., "Generic approach for hierarchical modulation performance analysis: Application to dvb-sh", in Wireless Telecommunications Symposium (WTS), IEEE., (2011), 1-6.
5
6. Méric, H., Lacan, J., Arnal, F., Lesthievent, G. and Boucheret, M.-L., "Improving broadcast channel rate using hierarchical modulation", in Wireless Conference (European Wireless), 2012 18th European, VDE., (2012), 1-5.
6
7. Zhe, X., YongSheng, W., Alberge, F. and Duhamel, P., "A turbo iteration algorithm in 16qam hierarchical modulation", in Wireless Communications, Networking and Information Security (WCNIS), International Conference on, IEEE., (2010), 9-12.
7
8. Štukavec, R. and Kratochvíl, T., "Simulation and measurement of the transmission distortions of the digital television dvb-t/h part 1: Modulator for digital terrestrial television", Radioengineering, Vol. 19, No. 2, (2010).
8
9. Shah, S. and Dalal, U., "Characteristic analysis of hierarchical and non-hierarchical modulation for dvb-h", International Journal of Computer Applications, Vol. 59, No. 1, (2012).
9
10. Ghani, F., Kader, M.A. and Ahmed, R.B., "Hierarchical quadrature amplitude modulation for image transmission over erroneous wireless channels", IEEE Trans. on Consumer Electronics, Vol. 54, No. 4, (2008), 1956-1961.
10
11. Sadough, S.M.S. and Duhamel, P., "On the interaction between channel coding and hierarchical modulation", in Communications, 2009. ICC'09. IEEE International Conference on, IEEE., (2009), 1-5.
11
12. Sadough, S.M.-S., "Improved reception schemes for digital video broadcasting based on hierarchical modulation", Radioengineering, Vol. 20, No. 1, (2011), 159-166.
12
13. Zamkotsian, M., Peppas, K.P., Lazarakis, F. and Cottis, P.G., "Layered offset hierarchical qam modulation for intersymbol interference reduction", IEEE Communications Letters, Vol. 17, No. 11, (2013), 2176-2179.
13
14. Méric, H. and Piquer, J.M., "DVB-S2 spectrum efficiency improvement with hierarchical modulation", in Communications (ICC), 2014 IEEE International Conference on, IEEE., (2014), 4331-4336.
14
15. Méric, H., "Optimising DVB-S2 spectral efficiency with hierarchical modulation for broadband applications", International Journal of Satellite Communications and Networking, Vol. 35, No. 2, (2017), 151-161.
15
16. Zoellner, J., Robert, J., Atungsiri, S. and Taylor, M., "Local service insertion in terrestrial single frequency networks based on hierarchical modulation", in Consumer Electronics (ICCE), 2012 IEEE International Conference on, IEEE., (2012), 616-617.
16
17. Evans, A.M., Quazi, T. and Xu, H., "Ber performance of an mrt-hqam system over rayleigh fading channels", IET Communications, Vol. 10, No. 17, (2016), 2473-2479.
17
18. Vitthaladevuni, P.K. and Alouini, M.-S., "Ber computation of 4/m-qam hierarchical constellations", IEEE Transactions on Broadcasting, Vol. 47, No. 3, (2001), 228-239.
18
19. Murdas, I., "Quadrature amplitude modulation all optical orthogonal frequency division multiplexing-dense wavelength division multiplexing-optical wireless communication system under different weather conditions", International Journal of Engineering, Vol. 30, No. 7, (2017), 988-994.
19
20. Bakhshi, H., GHASEMIAN, Y.M. and KAHRIZI, M., "Bit error performance for asynchronous ds/cdma systems over multipath rayleigh fading channels (research note)",International Journal of EngineeringTransactions A: Basics, Vol. 15, No. 2 (2002) 135-140.
20
ORIGINAL_ARTICLE
A New Implementation of Maximum Power Point Tracking Based on Fuzzy Logic Algorithm for Solar Photovoltaic System
In this paper, we present a modeling and implementation of new control schemes for an isolated photovoltaic (PV) using a fuzzy logic controller (FLC). The PV system is connected to a load through a DC-DC boost converter. The FLC controller provides the appropriate duty cycle (D) to the DC-DC converter for the PV system to generate maximum power. Using FLC controller block in MATLABTM/Simulink environment simplifies its implementation. However, all the parameters of the FLC blocks are not accessible and can not be modified without redesigning it each time, causing the loss of considerable time to control our system. To avoid these drawbacks and to simplify both the access and the plot of all blocks, a modelisation of FLC membership’s functions has become a necessity. The simulation and experimental tests on a PV system show that the FLC provides a good tracking of the maximum power point (MPPT). Finally, we have evaluated the operation of the FLC on a real system consisting of a photovoltaic panel (BP580) model and have implemented the control strategy on a digital signal processor dSPACE DS1104.
https://www.ije.ir/article_73155_72f1838b729165fb52c5c39011adf806.pdf
2018-04-01
580
587
Photovoltaic
DC
DC Converter
Boost
Modelisation
Fuzzy logic
T
Boutabba
boutabba_tarek@yahoo.fr
1
University of Batna2, Moustaphe Benboulaid, Laboratoire LSPIE, Anevue Med Elhadi Boukhlouf, Algeria
LEAD_AUTHOR
S
Drid
2
University of Batna2, Moustaphe Benboulaid, Laboratoire LSPIE, Anevue Med Elhadi Boukhlouf, Algeria
AUTHOR
L
Chrifi-Alaoui
3
University of Picardie Jules Verne, LTI, 13 av F. Mitterrand, Cuffies, France
AUTHOR
M. E
Benbouzid
4
University of Brest, EA 4325 LBMS Rue de Kergoat, France
AUTHOR
1. Bose, B.K., "Global warming: Energy, environmental pollution, and the impact of power electronics", IEEE Industrial Electronics Magazine, Vol. 4, No. 1, (2010), 6-17.
1
2. Masoum, M. and Dehbonei, H., "Design, construction and testing of a voltage-based maximum power point tracker (vmppt) for small satellite power supply", (1999).
2
3. Underland, R. and Robinson, W.P., Power electronics converters, applications and design. 2001, John Wiley & Sons, New Delhi.
3
4. Brunton, S.L., Rowley, C.W., Kulkarni, S.R. and Clarkson, C., "Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control", IEEE Transactions on Power Electronics, Vol. 25, No. 10, (2010), 2531-2540.
4
5. Jiang, J.-A., Huang, T.-L., Hsiao, Y.-T. and Chen, C.-H., "Maximum power tracking for photovoltaic power systems", Vol. 8, No. 2, (2005), 147-153.
5
6. Farhat, M., Flah, A. and Sbita, L., "Photovoltaic maximum power point tracking based on ann control", International Review on Modelling and Simulations, Vol. 7, No. 3, (2014), 474-480.
6
7. Yaragatti, U.R., Rajkiran, A.N. and Shreesha, B.C., "A novel method of fuzzy controlled maximum power point tracking in photovoltaic systems", in Industrial Technology, 2005. ICIT 2005. IEEE International Conference on, IEEE., (2005), 1421-1426.
7
8. Patcharaprakiti, N., Premrudeepreechacharn, S. and Sriuthaisiriwong, Y., "Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system", Renewable Energy, Vol. 30, No. 11, (2005), 1771-1788.
8
9. Cheikh, M.A., Larbes, C., Kebir, G.T. and Zerguerras, A., "Maximum power point tracking using a fuzzy logic control scheme", Revue des energies Renouvelables, Vol. 10, No. 3, (2007), 387-395.
9
10. Ayvazyan, G., Kirakosyan, G. and Vardanyan, A., "Maximum power operation of pv system using fuzzy logic control", Armenian Journal of Physics, Vol. 1, No. 2, (2008), 155-159.
10
11. El Hajjaji, A., BenAmmar, M., Bosche, J., Chaabene, M. and Rabhi, A., Integral fuzzy control for photovoltaic power systems, in Sustainability in energy and buildings. 2009, Springer.219-228.
11
12. Di Dio, V., La Cascia, D., Miceli, R. and Rando, C., "A mathematical model to determine the electrical energy production in photovoltaic fields under mismatch effect", in Clean Electrical Power, 2009 International Conference on, IEEE., (2009), 46-51.
12
13. Saadi, A. and Moussi, A., "Optimisation of buck-boost converter by mppt technique with a variable reference voltage applied to photovoltaic water pumping system under variable weather condition", Asian Journal of Information Technology, Vol. 6, No. 2, (2007), 222-229.
13
14. Villalva, M.G., Gazoli, J.R. and Ruppert Filho, E., "Comprehensive approach to modeling and simulation of photovoltaic arrays", IEEE transactions on power electronics, Vol. 24, No. 5, (2009), 1198-1208.
14
15. Drid, S., Chrifi-Alaoui, L., Bussy, P. and Ouriagli, M., "Robust control of the photovoltaic system with improved maximum power point tracking", in Ecological Vehicles and Renewable Energies (EVER), 2014 Ninth International Conference on, IEEE., (2014), 1-7.
15
16. Dhassa, A., Natarajana, E. and Lakshmi, P., "An investigation of temperature effects on solar photovoltaic cells and modules", International Journal of Engineering-Transactions B: Applications, Vol. 27, No. 11, (2014), 1713.
16
17. Tarek, B., Said, D. and Benbouzid, M., "Maximum power point tracking control for photovoltaic system using adaptive neuro-fuzzy “anfis”", in Ecological Vehicles and Renewable Energies (EVER), 2013 8th International Conference and Exhibition on, IEEE., (2013), 1-7.
17
18. Rad, M.J. and Taheri, A., "Digital controller designbased on time domain for dc-dc buck converter", International Journal of Engineering-Transactions B: Applications, Vol. 28, No. 5, (2015), 693.
18
ORIGINAL_ARTICLE
Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
This paper considers a multi-period, multi-product inventory-routing problem in a two-level supply chain consisting of a distributor and a set of customers. This problem is modeled with the aim of minimizing bi-objectives, namely the total system cost (including startup, distribution and maintenance costs) and risk-based transportation. Products are delivered to customers by some heterogeneous vehicles with specific capacities through a direct delivery strategy. Additionally, storage capacities are considered limited and the shortage is assumed to be impermissible. To validate this new bi-objective model, the ε-constraint method is used for solving problems. The ε-constraint method is an exact method for solving multi-objective problems, which offers Pareto's solutions, such as meta-heuristic algorithms. Since problems without distribution planning are very complex to solve optimally, the problem considered in this paper also belongs to a class of NP-hard ones. Therefore, a non-dominated sorting genetic algorithm (NSGA-II) as a well-known multi-objective evolutionary algorithm is used and developed to solve a number of test problems. In this paper, 20 sample problems with the e-constraint method and NSGA-II are solved and compared in different dimensions based on Pareto's solutions and the time of resolution. Furthermore, the computational results showed the better performance of the NSGA-II.
https://www.ije.ir/article_73156_7124f4427ba5213028bedc5bb91ee999.pdf
2018-04-01
588
596
Inventory
Routing problem
multi
objective optimization
ε
constraint Method
Non
dominated sorting genetic algorithm
R
Arab
r.arab@ut.ac.ir
1
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
LEAD_AUTHOR
S.F
Ghaderi
2
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
AUTHOR
R
Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
AUTHOR
1. Andersson, H., Hoff, A., Christiansen, M., Hasle, G. and Løkketangen, A., "Industrial aspects and literature survey: Combined inventory management and routing", Computers & Operations Research, Vol. 37, No. 9, (2010), 1515-1536.
1
2. Kim, J.-U. and Kim, Y.-D., "A lagrangian relaxation approach to multi-period inventory/distribution planning", Journal of the Operational Research Society, Vol. 51, No. 3, (2000), 364-370.
2
3. Li, J., Chen, H. and Chu, F., "Performance evaluation of distribution strategies for the inventory routing problem", European Journal of Operational Research, Vol. 202, No. 2, (2010), 412-419.
3
4. Campbell, A.M. and Hardin, J.R., "Vehicle minimization for periodic deliveries", European Journal of Operational Research, Vol. 165, No. 3, (2005), 668-684.
4
5. Cheng, L. and Duran, M.A., "Logistics for world-wide crude oil transportation using discrete event simulation and optimal control", Computers & Chemical Engineering, Vol. 28, No. 6-7, (2004), 897-911.
5
6. Niakan, F. and Rahimi, M., "A multi-objective healthcare inventory routing problem; a fuzzy possibilistic approach", Transportation Research Part E: Logistics and Transportation Review, Vol. 80, (2015), 74-94.
6
7. Cheng, C., Qi, M., Wang, X. and Zhang, Y., "Multi-period inventory routing problem under carbon emission regulations", International Journal of Production Economics, Vol. 182, (2016), 263-275.
7
8. Cárdenas-Barrón, L.E., González-Velarde, J.L. and Treviño-Garza, G., "A new approach to solve the multi-product multi-period inventory lot sizing with supplier selection problem", Computers & Operations Research, Vol. 64, (2015), 225-232.
8
9. Moubed, M. and Mehrjerdi Zare, Y., "A hybrid dynamic programming for inventory routing problem in collaborative reverse supply chains", International Journal of Engineering, TRANSACTIONS A: Basics, Vol. 29, No. 10, (2016), 1412-1420.
9
10. Esmaili, M. and Sahraeian, R., "A new bi-objective model for a two-echelon capacitated vehicle routing problem for perishable products with the environmental factor", International Journal of Engineering-Transactions A: Basics, Vol. 30, No. 4, (2017), 523-531.
10
11. Fattahi, P., Tanhatalab, M. and Bashiri, M., "Bi-objectives approach for a multi-period two echelons perishable product inventory-routing problem with production and lateral transshipment", International Journal of Engineering-Transactions C: Aspects, Vol. 30, No. 6, (2016), 876.
11
12. Nolz, P.C., Absi, N. and Feillet, D., "A bi‐objective inventory routing problem for sustainable waste management under uncertainty", Journal of Multi‐Criteria Decision Analysis, Vol. 21, No. 5-6, (2014), 299-314.
12
13. Marhavilas, P.-K., Koulouriotis, D. and Gemeni, V., "Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009", Journal of Loss Prevention in the Process Industries, Vol. 24, No. 5, (2011), 477-523.
13
ORIGINAL_ARTICLE
Application of Multivariate Control Charts for Condition Based Maintenance
Condition monitoring is the foundation of a condition based maintenance (CBM). To relate the information obtained from the condition monitoring to the actual state of the system, it is usually required a stochastic model. On the other hand, considering the interactions and similarities that exist between CBM and statistical process control (SPC), the integrated models for CBM and SPC have been developed. These models apply control charts as a condition monitoring technique, and the inference about the operational states of the system is based on the collected information about the quality of the produced items. Finally, it is decided whether to implement certain type of maintenance actions. This paper describes the application of multivariate control charts as a condition monitoring technique for CBM purposes. To this end, an integrated model is developed, while it is used a chi-square control chart. Also, to determine the inspection time points, a constant hazard policy is applied.
https://www.ije.ir/article_73157_f24a1d244da0401dce0cc8e94ccab722.pdf
2018-04-01
597
604
Condition Monitoring
Condition
Based Maintenance
Statistical process control
Multivariate Control Chart
H
Rasay
hasan.rasay@gmail.com
1
Department of Industrial Engineering, Yazd University, Yazd, Iran
AUTHOR
M. S
Fallahnezhad
fallahnezhad@yazd.ac.ir
2
Department of Industrial Engineering, Yazd University, Yazd, Iran
LEAD_AUTHOR
Y
Zaremehrjardi
yzare@yazd.ac.ir
3
Department of Industrial Engineering, Yazd University, Yazd, Iran
AUTHOR
Wu, J. and Makis, V., "Economic and economic-statistical design of a chi-square chart for cbm", European Journal of operational research, Vol. 188, No. 2, (2008), 516-529.
1
2. Wang, W., "A simulation-based multivariate bayesian control chart for real time condition-based maintenance of complex systems", European Journal of Operational Research, Vol. 218, No. 3, (2012), 726-734.
2
3. Liu, L., Yu, M., Ma, Y. and Tu, Y., "Economic and economic-statistical designs of an x control chart for two-unit series systems with condition-based maintenance", European Journal of Operational Research, Vol. 226, No. 3, (2013), 491-499.
3
4. Mishra, A. and Jain, M., "Maintainability policy for deteriorating system with inspection and common cause failure", Int J Eng Trans C Basics, Vol. 26, No. 6, (2013), 371-380.
4
5. Rabani, M., Manavizadeh, N. and Balali, S., "A stochastic model for indirect condition monitoring using proportional covariate model", Vol. 21, (2008), 45-56.
5
6. Panagiotidou, S. and Tagaras, G., "Statistical process control and condition‐based maintenance: A meaningful relationship through data sharing", Production and Operations Management, Vol. 19, No. 2, (2010), 156-171.
6
7. Mehrafrooz, Z. and Noorossana, R., "An integrated model based on statistical process control and maintenance", Computers & Industrial Engineering, Vol. 61, No. 4, (2011), 1245-1255.
7
8. Xiang, Y., "Joint optimization of x¯ control chart and preventive maintenance policies: A discrete-time markov chain approach", European Journal of Operational Research, Vol. 229, No. 2, (2013), 382-390.
8
9. Panagiotidou, S. and Tagaras, G., "Optimal integrated process control and maintenance under general deterioration", Reliability Engineering & System Safety, Vol. 104, (2012), 58-70.
9
10. Yin, H., Zhang, G., Zhu, H., Deng, Y. and He, F., "An integrated model of statistical process control and maintenance based on the delayed monitoring", Reliability Engineering & System Safety, Vol. 133, (2015), 323-333.
10
11. Panagiotidou, S. and Nenes, G., "An economically designed, integrated quality and maintenance model using an adaptive shewhart chart", Reliability Engineering & System Safety, Vol. 94, No. 3, (2009), 732-741.
11
12. Ardakan, M.A., Hamadani, A.Z., Sima, M. and Reihaneh, M., "A hybrid model for economic design of mewma control chart under maintenance policies", The International Journal of Advanced Manufacturing Technology, Vol. 83, No. 9-12, (2016), 2101-2110.
12
13. Jamshidi, R. and Maadi, M., "Maintenance and work-rest scheduling in human-machine system according to fatigue and reliability", International Journal of Engineering, Vol. 30, No. 1, (2017), 85-92.
13
14. Liu, L., Jiang, L. and Zhang, D., "An integrated model of statistical process control and condition-based maintenance for deteriorating systems", Journal of the Operational Research Society, Vol. 68, No. 11, (2017), 1452-1460.
14
15. Munford, A., "Comparison among certain inspection policies", Management Science, Vol. 27, No. 3, (1981), 260-267.
15
ORIGINAL_ARTICLE
Comparison of Inventory Models for Optimal Working Capital; Case of Aeronautics Company
The goal of supply chain management is to provide products with best quality, low costs and shortest delay of delivery corresponding to customers’ expectations. To ensure that, companies must be in continuous research for management methodologies which allows them the possibility to improve their financial results by decreasing costs and improving their process and thus customers satisfaction. Before searching for a metaheuristic function of the optimal solutions, this paper is presenting a basic research, conducted in aeronautic company to find out the better solution for raw material inventory management. These raw materials are obtained from the supply of imports and some local purchases. The aims of study are to present a comparison of inventory deterministic models, the economic order quantity, the Interval order quantity and the minimum maximum inventory. The first step is to collect data’s containing 3896-part number with various suppliers, lead time, costs, consumption, holding cost and set up cost, the second step is calculating the order quantity with deterministic models and analyzing the results to choose the better solution. The third step is doing the ABC classification and comparing the amount of average stock between the three methods. The results show that the optimal deterministic solution is a combination of two of them.
https://www.ije.ir/article_73158_da7a77fbb8436f368b48b8f58e2eb4d2.pdf
2018-04-01
605
611
Inentory Comparison
Inventory management
Economic order quantity
Interval Order Quantity
Z
Benmamoun
benmamoun_zoubida@yahoo.fr
1
GS Laboratory, ENSA, University Campus, Kenira14000, Morocco
LEAD_AUTHOR
H
Hachimi
hanaahachimi@gmail.com
2
GS Laboratory, ENSA, University Campus, Kenira14000, Morocco
AUTHOR
A
Amine
amine_aouatif@univ-ibntofail.ac.ma
3
GS Laboratory, ENSA, University Campus, Kenira14000, Morocco
AUTHOR
1. Raheman, A. and Nasr, M., "Working capital management and profitability–case of pakistani firms", International Review of Business Research Papers, Vol. 3, No. 1, (2007), 279-300.
1
2. Bian, Y., Bostel-Dejax, N., Lemoine, D., Yeung, T., Hovelaque, V. and Viviani, J.-l., "Dynamic lot-sizing-based working capital requirement minimization model with infinite capacity", in Industrial Engineering and Systems Management (IESM), 2015 International Conference on, IEEE., (2015), 1048-1054.
2
3. Hnaien, F., "Gestion des stocks dans des chaînes logistiques face aux aléas des délais d'approvisionnements", Ecole Nationale Supérieure des Mines de Saint-Etienne, (2008),
3
4. Zariyawati, M., Taufiq, H., Annuar, M. and Sazali, A., "Determinants of working capital management: Evidence from malaysia", in Financial Theory and Engineering (ICFTE), 2010 International Conference on, IEEE., (2010), 190-194.
4
5. Russell, R.S. and Taylor-Iii, B.W., "Operations management along the supply chain, John Wiley & Sons, (2008).
5
6. Sboui, S., "Unsold and excess inventory: Between optimization and management: A new challenge for the supply chain management", in Service Systems and Service Management, 2006 International Conference on, IEEE. Vol. 1, (2006), 283-289.
6
7. Ahmadvand, A., Asadi, H. and Jamshidi, R., "Impact of service on customers’demand and members’profit in supply chain", International Journal of Engineering, TRANSACTIONS C: Aspects Vol. 25, No. 3, (2012) 213-222.
7
8. Akhbari, M., Mehrjerdi, Y.Z., Zare, H.K. and Makui, A., "A novel continuous knn prediction algorithm to improve manufacturing policies in a vmi supply chain", International Journal of Engineering-Transactions B: Applications, Vol. 27, No. 11, (2014), 1681-1689.
8
9. Parsa, M., Mollaverdi-Esfahani, N., Alinaghiana, M. and Tavakkoli-Moghaddam, R., "Introducing the time value of money in a non-consignment vendor managed inventory model", International Journal of Engineering, Transactions B: Applications, Vol. 29, No. 5, (2016), 637-645.
9
10. Jain, M., Sharma, G. and RATHORE, S., "Economic production quantity models with shortage, price and stock-dependent demand for deteriorating items", International Journal of Engineering (IJE) Transactions A: Basics, Vol. 20, No. 2, (2007), 159-168.
10
11. Bendavid, I., Herer, Y.T. and Yücesan, E., "A simulation based investigation of inventory management under working capital constraints", in Simulation Conference (WSC), 2014 Winter, IEEE., (2014), 1919-1930.
11
12. Cherrafi, A., Elfezazi, S., Chiarini, A., Mokhlis, A. and Benhida, K., "The integration of lean manufacturing, six sigma and sustainability: A literature review and future research directions for developing a specific model", Journal of Cleaner Production, Vol. 139, (2016), 828-846.
12
13. Harris, F., "How many parts to make at once, factory, the magazine of management, vol. 10", The Magazine of Management ,10(1913), 135-136..
13
14. Tripathi, R. and Uniyal, A.K., "Eoq model with cash flow oriented and quantity dependent under trade credits", International Journal of Engineering-Transactions A: Basics, Vol. 27, No. 7, (2014), 1107-1115.
14
15. Abdullah, N.K., Mawardi, M.A.N.M. and Rashid, R.A., "Economic order quantity (EOQ): An alternative at routine maintenance company", in Business Engineering and Industrial Applications Colloquium (BEIAC), IEEE., (2013), 739-744.
15
16. Sarjono, H. and Aryanto, R., "Comparison of optimal calculation of inventories", in Technology Management and Emerging Technologies (ISTMET), 2014 International Symposium on, IEEE., (2014), 90-93.
16
17. Jiang, Q., Zhong, W. and Hu, Y., "The construction of conceptual model of working capital management based on scm", in Future Information Technology and Management Engineering (FITME), 2010 International Conference on, IEEE. Vol. 1, (2010), 338-341.
17
18. Slack, N., Chambers, S. and Johnston, R., "Operations management, Pearson education, (2010).
18
19. Sterman, J.D. and Dogan, G., "“I’m not hoarding, i’m just stocking up before the hoarders get here.”: Behavioral causes of phantom ordering in supply chains", Journal of Operations Management, Vol. 39, (2015), 6-22.
19
20. Guo, X., Liu, C., Xu, W., Yuan, H. and Wang, M., "A prediction-based inventory optimization using data mining models", in Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on, IEEE., (2014), 611-615.
20
21. Keren, B. and Hadad, Y., "Abc inventory classification using ahp and ranking methods via dea", in Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), 2016 Second International Symposium on, IEEE., (2016), 495-501.
21
22. Hadad, Y. and Keren, B., "Abc inventory classification via linear discriminant analysis and ranking methods", International Journal of Logistics Systems and Management, Vol. 14, No. 4, (2013), 387-404.
22
ORIGINAL_ARTICLE
A New Combination of Robust-possibilistic Mathematical Programming for Resilient Supply Chain Network under Disruptions and Uncertainty: A Real Supply Chain (RESEARCH NOTE)
Nowadays, the design of a strategic supply chain network under disruption is one of the most important priorities of the governments. One of the strategic purposes of managers is to supply the sustainable agricultural products and food in stable conditions which require the production of soil nutrients. In this regard, some disruptions such as sanctions and natural disasters have a destructive effect on the supply of raw materials and the uncertainty of input parameters plays an undesirable impact on the decision-making levels including strategic, tactical, and operational levels. The present study introduced a new model of resilient supply chain network which was compatible with the realities of the structure of the supply chain for fertilizer in Iran. Notably, the effectiveness of the designed system was promoted by the dominant strategies of reliability. Further, a new robust possibilistic approach was proposed which guaranteed the optimality and feasibility robustness through the efficient solution to deal with the parametric uncertainty. Finally, the results showed that the proposed new robust possibilistic combination promoted the optimality robustness and its effectiveness using an optimal average cost and minimum standard deviation.
https://www.ije.ir/article_73159_341a0c5e9bfe03fd85666fe68dcd190c.pdf
2018-04-01
612
621
Supply chain
Possibilistic programming
Disruption
robustness
Uncertainty
A
Hamidieh
ahamidieh@gmail.com
1
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
AUTHOR
A
Arshadi khamseh
alireza.arshadikhamseh@gmail.com
2
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
LEAD_AUTHOR
B
Naderi
bahman.naderi@aut.ac.ir
3
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
AUTHOR
1. de Sousa, R.T.X., Korndörfer, G.H., Brem Soares, R.A. and Fontoura, P.R., "Phosphate fertilizers for sugarcane used at pre-planting (phosphorus fertilizer application)", Journal of Plant Nutrition, Vol. 38, No. 9, (2015), 1444-1455.
1
2. Ghomi-Avili, M., Tavakkoli-Moghaddam, R., Jalali, G. and Jabbarzadeh, A., "A network design model for a resilient closed-loop supply chain with lateral transshipment", International Journal of Engineering-Transactions C: Aspects, Vol. 30, No. 3, (2017), 374.
2
3. Üster, H. and Hwang, S.O., "Closed-loop supply chain network design under demand and return uncertainty", Transportation Science, Vol. 51, No. 4, (2016), 1063-1085.
3
4. Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F. and Baboli, A., "Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model", Engineering Optimization, Vol. 45, No. 6, (2013), 745-765.
4
5. Golpîra, H., Najafi, E., Zandieh, M. and Sadi-Nezhad, S., "Robust bi-level optimization for green opportunistic supply chain network design problem against uncertainty and environmental risk", Computers & Industrial Engineering, Vol. 107, (2017), 301-312.
5
6. Snyder, L.V. and Daskin, M.S., "Stochastic p-robust location problems", IIE Transactions, Vol. 38, No. 11, (2006), 971-985.
6
7. Pan, F. and Nagi, R., "Robust supply chain design under uncertain demand in agile manufacturing", Computers & Operations Research, Vol. 37, No. 4, (2010), 668-683.
7
8. Pishvaee, M.S., Razmi, J. and Torabi, S.A., "Robust possibilistic programming for socially responsible supply chain network design: A new approach", Fuzzy Sets and Systems, Vol. 206, No., (2012), 1-20.
8
9. Hatefi, S. and Jolai, F., "Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions", Applied Mathematical Modelling, Vol. 38, No. 9-10, (2014), 2630-2647.
9
10. Zhang, P. and Zhang, W.-G., "Multiperiod mean absolute deviation fuzzy portfolio selection model with risk control and cardinality constraints", Fuzzy sets and systems, Vol. 255, No., (2014), 74-91.
10
11. Hamidieh, A., Naderi, B., Mohammadi, M. and Fazli-Khalaf, M., "A robust possibilistic programming model for a responsive closed loop supply chain network design", Cogent Mathematics & Statistics, Vol. 4, No. 1, (2017), 1329886.
11
12. Farrokh, M., Azar, A., Jandaghi, G. and Ahmadi, E., "A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty", Fuzzy Sets and Systems, (2017).
12
13. Fazli-Khalaf, M. and Hamidieh, A., "A robust reliable forward-reverse supply chain network design model under parameter and disruption uncertainties", International Journal of Engineering-Transactions B: Applications, Vol. 30, No. 8, (2017), 1160.
13
14. Azad, N., Saharidis, G.K., Davoudpour, H., Malekly, H. and Yektamaram, S.A., "Strategies for protecting supply chain networks against facility and transportation disruptions: An improved benders decomposition approach", Annals of Operations Research, Vol. 210, No. 1, (2013), 125-163.
14
15. Jabbarzadeh, A., Jalali Naini, S.G., Davoudpour, H. and Azad, N., "Designing a supply chain network under the risk of disruptions", Mathematical Problems in Engineering, Vol. 2012, No., (2012).
15
16. Namdar, J., Tavakkoli-Moghaddam, R., Sahebjamnia, N. and Soufi, H.R., "Designing a reliable distribution network with facility fortification and transshipment under partial and complete disruptions", International Journal of Engineering-Transactions C: Aspects, Vol. 29, No. 9, (2016), 1273.
16
17. Carvalho, H., Azevedo, S.G. and Cruz-Machado, V., "Agile and resilient approaches to supply chain management: Influence on performance and competitiveness", Logistics research, Vol. 4, No. 1-2, (2012), 49-62.
17
18. Jüttner, U. and Maklan, S., "Supply chain resilience in the global financial crisis: An empirical study", Supply Chain Management: An International Journal, Vol. 16, No. 4, (2011), 246-259.
18
19. Mari, S.I., Lee, Y.H. and Memon, M.S., "Sustainable and resilient supply chain network design under disruption risks", Sustainability, Vol. 6, No. 10, (2014), 6666-6686.
19
20. Carvalho, H., Azevedo, S.G. and Cruz-Machado, V., "An innovative agile and resilient index for the automotive supply chain", International Journal of Agile Systems and Management, Vol. 6, No. 3, (2013), 259-283.
20
21. Klibi, W. and Martel, A., "Modeling approaches for the design of resilient supply networks under disruptions", International Journal of Production Economics, Vol. 135, No. 2, (2012), 882-898.
21
22. Sawik, T., "Selection of resilient supply portfolio under disruption risks", Omega, Vol. 41, No. 2, (2013), 259-269.
22
23. Hasani, A. and Khosrojerdi, A., "Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study", Transportation Research Part E: Logistics and Transportation Review, Vol. 87, No., (2016), 20-52.
23
24. Jiménez, M., Arenas, M., Bilbao, A. and Rodrı, M.V., "Linear programming with fuzzy parameters: An interactive method resolution", European Journal of Operational Research, Vol. 177, No. 3, (2007), 1599-1609.
24
25. Pishvaee, M.S. and Torabi, S.A., "A possibilistic programming approach for closed-loop supply chain network design under uncertainty", Fuzzy sets and systems, Vol. 161, No. 20, (2010), 2668-2683.
25
26. Pishvaee, M.S. and Khalaf, M.F., "Novel robust fuzzy mathematical programming methods", Applied Mathematical Modelling, Vol. 40, No. 1, (2016), 407-418.
26
27. Mousazadeh, M., Torabi, S.A. and Zahiri, B., "A robust possibilistic programming approach for pharmaceutical supply chain network design", Computers & Chemical Engineering, Vol. 82, No., (2015), 115-128.
27
ORIGINAL_ARTICLE
Characterization and Utilization of Zeolite for NPK Slow Release Fertilizer (RESEARCH NOTE)
Based on various characteristics of zeolite, its utilization in the manufacture of fertilizers with slow-release properties is possible. The objectives of this study are to characterize and utilized nitrogen, phosphorus and potassium (NPK) slow release fertilizer by using natural zeolite in Indonesia. In this research, zeolite was utilized as a mixture of Slow Release Fertilizer (SRF). Effect of zeolite addition to single/multi-nutrients NPK fertilizer, compacting process, and applied medium on the average rate of fertilizer solubility was investigated. Fertilizer compaction results of NPK, NPK + zeolite, and (N-P-K) + zeolite were characterized by SEM EDS to examine the surface morphology and chemical composition of the fertilizer samples. Nutrients content in soil, domestic water, and demineralized water medium were analyzed by AAS. Base on the experimental results, it was found that addition of zeolite in the single (N-P-K) or multi-nutrients (NPK) fertilizer reduced the average rate of solubility of nutrients in the leaching medium. The results of this study showed that (N-P-K) + zeolite fertilizer has the lowest average rate of solubility than the other samples, it was proved by its average rate of solubility in soil, domestic water, and demineralized water medium, i.e. 9.63 ppm/h, 23.97 ppm/h, and 14.68 ppm/h, respectively.
https://www.ije.ir/article_73160_f70c19dcec7c7f606ca43f405c16836e.pdf
2018-04-01
622
628
nitrogen
Phosphorus and Potassium
Slow Release Fertilizer
Total Dissolved Solid
Zeolite
T. E
Agustina
tuty_agustina@unsri.ac.id
1
Chemical Engineering Department, Universitas Sriwijaya, Palembang, Indonesia
LEAD_AUTHOR
I
Rizky
irvanrizky2011@gmail.com
2
Chemical Engineering Department, Universitas Sriwijaya, Palembang, Indonesia
AUTHOR
M. E. W
Utama
wutama60@yahoo.com
3
Chemical Engineering Department, Universitas Sriwijaya, Palembang, Indonesia
AUTHOR
M. I
Amal
m.ikhlasul@gmail.com
4
Material and Metallurgy Research Center, Indonesian Research Institute, Serpong, Indonesia
AUTHOR
1. Yu, L., Gong, J., Zeng, C. and Zhang, L., "Synthesis of binderless zeolite x microspheres and their CO2 adsorption properties", Separation and Purification Technology, Vol. 118, (2013), 188-195.
1
2. Esfandian, H., Sharifzadeh, M. and Yousefi, E., "Removal of dimethyl phthalate from aqueous solution by synthetic modified nano zeolite using Cu2O nanoparticles", International Journal of Engineering-Transactions C: Aspects, Vol. 29, No. 9, (2016), 1198-1207.
2
3. Eskandari, A., Jahangiri, M. and Anbia, M., "Effect of particle size of nax zeolite on adsorption of CO2/CH4", International Journal of Engineering-Transactions A: Basics, Vol. 29, No. 1, (2015), 1-7.
3
4. Khashij, M., Mousavi, S., Mehralianc, M. and Massoudinejad, M., "Removal of Fe2+ from aqueous solution using manganese oxide coated zeolite and iron oxide coated zeolite", International Journal of Engineering-Transactions B: Applications, Vol. 29, No. 11, (2016), 1587.
4
5. Esfandian, H., Fakhraee, H. and Azizi, A., "Removal of strontium ions by synthetic nano sodalite zeolite from aqueous solution", International Journal of Engineering-Transactions B: Applications, Vol. 29, No. 2, (2016), 160-169.
5
6. Morgan, K.T., Cushman, K.E. and Sato, S., "Release mechanisms for slow-and controlled-release fertilizers and strategies for their use in vegetable production", HortTechnology, Vol. 19, No. 1, (2009), 10-12.
6
7. Zhang, Q., Tongamp, W. and Saito, F., "Mechanochemical route for synthesizing KMgPO4 and NH4MgPO4 for application as slow-release fertilizers", Industrial & Engineering Chemistry Research, Vol. 49, No. 5, (2010), 2213-2216.
7
8. Zhang, Q., Tongamp, W. and Saito, F., "Mechanochemical synthesis of kaoline–KH2PO4 and kaoline–NH4H2PO4 complexes for application as slow release fertilizer", Powder Technology, Vol. 212, No. 2, (2011), 354-358.
8
9. Yuan, W., Zhang, Q., Kano, J. and Saito, F., "Mechanochemical formation of K-Si-Ca-O compound as a slow-release fertilizer", Powder Technology, Vol. 260, (2014), 22-26.
9
10. Zhang, Q. and Saito, F., "Mechanochemical synthesis of slow‐release fertilizers through incorporation of alumina composition into potassium/ammonium phosphates", Journal of the American Ceramic Society, Vol. 92, No. 12, (2009), 3070-3073.
10
ORIGINAL_ARTICLE
Economic-statistical Design of NP Control Chart with Variable Sample Size and Sampling Interval
The control charts are graphical tools and proven techniques to improve the performance of a process. Usually, the processes are not naturally controlled, so the use of control charts will help to reduce the variability and increase the stability of the process. In the traditional approach, control charts with fix sample size and constant sampling intervals were used to identify the changes in the process. While, control charts can be examined from different statistical and economical directions using different sampling schemes for achieving a better result. In past studies, it has been shown that np control charts show better results in detecting shifts by using variable sampling schemes but it is also important to consider how the cost of using variable sampling schemes will be, since the cost of a process depends on the parameters of the control chart. In this paper, the economic-statistical design of np control chart with variable sample size and sampling interval (VSSI) is formulated and then we compare and analyze the resulted obtained with other schemes. Results show significant improvement in terms of economic and statistical performance.
https://www.ije.ir/article_73161_2cadccff35852c887ac57e87d4c3f58b.pdf
2018-04-01
629
639
The Np Control Chart
Economic
Statistical design
Markov chain
Design of experiments
Variable Sampling Schemes
M. S
Fallahnezhad
fallahnezhad@yazduni.ac.ir
1
Department of Industrial Engineering, Yazd University, Yazd, Iran
AUTHOR
M
Shojaie-Navokh
m.shojaei833@gmail.com
2
Department of Industrial Engineering, Yazd University, Yazd, Iran
LEAD_AUTHOR
Y
Zare-Mehrjerdi
3
Department of Industrial Engineering, Yazd University, Yazd, Iran
AUTHOR
1. Yang, S.-F. and Chen, W.-Y., "Monitoring and diagnosing dependent process steps using vsi control charts", Journal of Statistical Planning and Inference, Vol. 141, No. 5, (2011), 1808-1816.
1
2. Reynolds, M.R., Amin, R.W., Arnold, J.C. and Nachlas, J.A., "Charts with variable sampling intervals", Technometrics, Vol. 30, No. 2, (1988), 181-192.
2
3. Reynolds, M.R., Amin, R.W. and Arnold, J.C., "Cusum charts with variable sampling intervals", Technometrics, Vol. 32, No. 4, (1990), 371-384.
3
4. Vaughan, T.S., "Variable sampling interval np process control chart", Communications in Statistics-Theory and Methods, Vol. 22, No. 1, (1992), 147-167.
4
5. Liu, J., Xie, M., Goh, T., Liu, Q. and Yang, Z., "Cumulative count of conforming chart with variable sampling intervals", International Journal of Production Economics, Vol. 101, No. 2, (2006), 286-297.
5
6. Faraz, A., Chalaki, K. and Moghadam, M., "On the properties of the hotelling’s t 2 control chart with variable sampling intervals", Quality & Quantity, Vol. 45, No. 3, (2011), 579-586.
6
7. Prabhu, S., Runger, G. and Keats, J., "X chart with adaptive sample sizes", The International Journal of Production Research, Vol. 31, No. 12, (1993), 2895-2909.
7
8. Zimmer, L.S., Montgomery, D.C. and Runger, G.C., "Evaluation of a three-state adaptive sample size x control chart", International Journal of Production Research, Vol. 36, No. 3, (1998), 733-743.
8
9. He, D., Grigoryan, A. and Sigh, M., "Design of double-and triple-sampling x-bar control charts using genetic algorithms", International Journal of Production Research, Vol. 40, No. 6, (2002), 1387-1404.
9
10. Prabhu, S.S., Montgomery, D.C. and Runger, G.C., "A combined adaptive sample size and sampling interval x control scheme", Journal of Quality Technology, Vol. 26, No. 3, (1994), 164-176.
10
11. Mahadik, S.B. and Shirke, D.T., "A special variable sample size and sampling interval chart", Communications in Statistics—Theory and Methods, Vol. 38, No. 8, (2009), 1284-1299.
11
12. Noorossana, R., Deheshvar, A. and Shekary, M., "A modified variable sample size and sampling interval controlchart", The International Journal of Advanced Manufacturing Technology, Vol. 84, No. 5-8, (2016), 1303-1312.
12
13. Zhou, M., "Variable sample size and variable sampling interval shewhart control chart with estimated parameters", Operational Research, Vol. 17, No. 1, (2017), 17-37.
13
14. Amiri, H.S.a.A., "The effect of measurement errors on the performance of variable sample size and sampling interval xbar control chart", International Journal of Engineering, Vol. 30, No., (2017), 995-1004.
14
15. Duncan, A.J., "The economic design of x charts used to maintain current control of a process", Journal of the American Statistical Association, Vol. 51, No. 274, (1956), 228-242.
15
16. Lorenzen, T.J. and Vance, L.C., "The economic design of control charts: A unified approach", Technometrics, Vol. 28, No. 1, (1986), 3-10.
16
17. Montgomery, D.C., "The economic design of control charts: A review and literature survey", Journal of Quality Technology, Vol. 12, No. 2, (1980), 75-87.
17
18. Fallahnezhad, M. and Ahmadi, E., "Optimal process adjustment with considering variable costs for uni-variate and multi-variate production process", International Journal of Engineering, Transactions A: Basics, Vol. 27, No. 4, (2014), 561-572.
18
19. Katebi, M., Seif, A. and Faraz, A., "Economic and economic-statistical designs of the t2 control charts with svssi sampling scheme", Communications in Statistics-Theory and Methods, Vol. 46, No. 20, (2017), 10149-10165.
19
20. Fallahnezhad, M. and Golbafian, V., "Determining the sample size for estimation of the ccc-r control chart parameters based on estimation costs".
20
21. Woodall, W.H., "Weaknesses of the economic design of control charts", Technometrics, Vol. 28, No. 4, (1986), 408-409.
21
22. Saniga, E.M., "Economic statistical control-chart designs with an application to and r charts", Technometrics, Vol. 31, No. 3, (1989), 313-320.
22
23. Amiri, F., Noghondarian, K. and Safaei, A.S., "Evaluating the performance of variable scheme x-bar control chart: A taguchi loss approach", International Journal of Production Research, Vol. 52, No. 18, (2014), 5385-5395.
23
24. Jahantigh, F.F. and Safaeia, A., "Bi-objective economic statistical design of the joint xbar and s charts incorporating taguchi loss function", Journal of Industrial and Systems Engineering, Vol. 9, No. 1, (2016), 1-16.
24
25. SHERBAF, M.A., Amiri, A. and Bashiri, M., "Multi-objective economic-statistical design of cumulative count of conforming control chart", (2014).
25
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41
ORIGINAL_ARTICLE
Modeling the Trade-off between Manufacturing Cell Design and Supply Chain Design
Nowadays, we are witnessing the growth of firms that distribute the production capacity of their products to a wide geographic range to supply the demand of several markets. In this article, the relationships and interactions between cell design and supply chain design are investigated. For this purpose, a novel integrated model is presented for designing dynamic cellular manufacturing systems in supply chain design. Different components in the supply chain design, such as location of production facilities at a number of candidate sites, procurement of raw materials from suppliers, shipment of raw materials to production facilities, manufacturing of products, and distribution of products to markets are considered in dynamic environments. The costs concerning these components are minimized. Since the proposed problem is NP-hard, however, a genetic algorithm is presented for application of the model to real-sized instances. Numerical examples demonstrate that the algorithm performs successfully in searching for optimal or near-optimal solutions.
https://www.ije.ir/article_73162_7e0661fcd33bef04723bd6045b613cfd.pdf
2018-04-01
640
647
dynamic cellular manufacturing systems
cell formation problem
supply chain design
Genetic Algorithm
M
Soolaki
majid.soolaki@gmail.com
1
Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran
AUTHOR
J
Arkat
j.arkat@gmail.com
2
Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran
LEAD_AUTHOR
F
Ahmadizar
f.ahmadizar@uok.ac.ir
3
Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran
AUTHOR
1. Jain, V., "Hybrid approaches to model supplier related issues in a dynamic supply chain", Ph.D. Mechanical Engineering Department, Indian Institute of Technology Delhi, India (2006).
1
2. Wemmerlöv, U. and Hyer, N.L., "Cellular manufacturing in the us industry: A survey of users", The International Journal of Production Research, Vol. 27, No. 9, (1989), 1511-1530.
2
3. Rao, P.P. and Mohanty, R., "Impact of cellular manufacturing on supply chain management: Exploration of interrelationships between design issues", International Journal of Manufacturing Technology and Management, Vol. 5, No. 5-6, (2003), 507-520.
3
4. Tavakkoli-Moghaddam, R., Makui, A., Khazaei, M. and Ghodratnama, A., "Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization", International Journal of Engineering-Transactions A: Basics, Vol. 24, No. 3, (2011), 249-257.
4
5. Azadnia, A., "A multi-objective mathematical model for sustainable supplier selection and order lot-sizing under inflation", International Journal of Engineering-Transactions B: Applications, Vol. 29, No. 8, (2016), 1141-1150.
5
6. Schaller, J., "Incorporating cellular manufacturing into supply chain design", International Journal of Production Research, Vol. 46, No. 17, (2008), 4925-4945.
6
7. Saxena, L.K. and Jain, P., "An integrated model of dynamic cellular manufacturing and supply chain system design", The International Journal of Advanced Manufacturing Technology, Vol. 62, No. 1-4, (2012), 385-404.
7
8. Benhalla, S., Gharbi, A. and Olivier, C., "Multi-plant cellular manufacturing design within a supply chain", Journal of Operations and Logistics, Vol. 4, No. 1, (2011), 1-17.
8
9. Graves, S.C. and Willems, S.P., "Optimizing the supply chain configuration for new products", Management Science, Vol. 51, No. 8, (2005), 1165-1180.
9
10. Kazemi, M., Gol, S.S., Tavakkoli-Moghaddam, R., Kia, R. and Khorrami, J., "A mathematical model for assessing the effects of a lot splitting feature on a dynamic cellular manufacturing system", Production Engineering, Vol. 11, No. 4-5, (2017), 557-573.
10
11. Heydari, H., Paydar, M.M. and Mahdavi, I., "An integrated model of cellular manufacturing and supplier selection considering product quality", Journal of Optimization in Industrial Engineering, Vol. 10, No. 22, (2017), 39-48.
11
12. Aalaei, A. and Davoudpour, H., "A robust optimization model for cellular manufacturing system into supply chain management", International Journal of Production Economics, Vol. 183, (2017), 667-679.
12
13. Aalaei, A., Kayvanfar, V. and Davoudpour, H., "Integrating multi-dynamic virtual cellular manufacturing systems into multi-market allocation and production planning", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, (2017), 0954405417731465.
13
14. Aalaei, A. and Davoudpour, H., "Designing a mathematical model for integrating dynamic cellular manufacturing into supply chain system", in AIP Conference Proceedings, AIP. Vol. 1499, (2012), 239-246.
14
15. Aalaei, A. and Davoudpour, H., "Revised multi-choice goal programming for incorporated dynamic virtual cellular manufacturing into supply chain management: A case study", Engineering Applications of Artificial Intelligence, Vol. 47, (2016), 3-15.
15
16. Soolaki, M. and Arkat, J., "Supply chain design considering cellular structure and alternative processing routings", Journal of Industrial and Systems Engineering, Vol. 11, No. 1, (2018), 0-0.
16
17. Soolaki, M. and Arkat, J., "Incorporating dynamic cellular manufacturing into strategic supply chain design", The International Journal of Advanced Manufacturing Technology, Vol. 95, No. 5-8, (2018), 2429-2447.
17
ORIGINAL_ARTICLE
A Robust Reliable Closed Loop Supply Chain Network Design under Uncertainty: A Case Study in Equipment Training Centers
The aim of this paper is to propose a robust reliable bi-objective supply chain network design (SCND) model that is capable of controlling different kinds of uncertainties, concurrently. In this regard, stochastic bi-level scenario based programming approach which is used to model various scenarios related to strike of disruptions. The well-known method helps to overcome adverse effects of disruptions and extend a network that is less vulnerable regarding disruptions strike. Also, scenario-based modeling approach enables decision makers (DMs) to the model uncertainty of model parameters regarding different scenarios that are disregarded in reliable SCND research scope. An effective robust programming method is employed to control the risk-aversion level of output decisions that helps company managers to adjust long-term effects of their decisions via determining uncertainty level of model parameters. Notably, extended bi-objective programming model minimizes total costs of network design aside with maximization of responsiveness of supply chain network. Agile and fast performing networks could be regarded as a long-term competitive advantage for companies that are modeled in the extended form as a different objective besides cost minimization. Finally, the extended robust reliable network model is implemented and evaluated based on real case study of a national project and output results demonstrates efficiency and applicability of proposed reliable network.
https://www.ije.ir/article_73163_cda0f6c8f9b2ac0865b2815d1f8e5898.pdf
2018-04-01
648
658
Closed loop supply chain
responsiveness
robust optimization
P
robust
Uncertainty
training center
A
Hamidieh
1
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
AUTHOR
A
Arshadikhamseh
alireza.arshadikhamseh@gmail.com
2
Department of Industrial Engineering, Payamnoor University, Tehran, Iran
LEAD_AUTHOR
M
Fazli-Khalaf
mohamad.fazli@yahoo.com
3
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
AUTHOR
1. Pishvaee, M.S., Rabbani, M. and Torabi, S.A., "A robust optimization approach to closed-loop supply chain network design under uncertainty", Applied Mathematical Modelling, Vol. 35, No. 2, (2011), 637-649.
1
2. Namdar, J., Tavakkoli-Moghaddam, R., Sahebjamnia, N. and Soufi, H.R., "Designing a reliable distribution network with facility fortification and transshipment under partial and complete disruptions", International Journal of Engineering-Transactions C: Aspects, Vol. 29, No. 9, (2016), 1273-1280.
2
3. Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F. and Baboli, A., "Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model", Engineering Optimization, Vol. 45, No. 6, (2013), 745-765.
3
4. Pishvaee, M.S. and Torabi, S.A., "A possibilistic programming approach for closed-loop supply chain network design under uncertainty", Fuzzy Sets and Systems, Vol. 161, No. 20, (2010), 2668-2683.
4
5. Ramezani, M., Bashiri, M. and Tavakkoli-Moghaddam, R., "A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level", Applied Mathematical Modelling, Vol. 37, No. 1-2, (2013), 328-344.
5
6. Schultmann, F., Zumkeller, M. and Rentz, O., "Modeling reverse logistic tasks within closed-loop supply chains: An example from the automotive industry", European Journal of Operational Research, Vol. 171, No. 3, (2006), 1033-1050.
6
7. Bhaumik, P.K., "Supply chain network design based on integration of forward and reverse logistics", Global Business Review, Vol. 16, No. 4, (2015), 680-699.
7
8. Hatefi, S. and Jolai, F., "Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions", Applied Mathematical Modelling, Vol. 38, No. 9-10, (2014), 2630-2647.
8
9. Üster, H. and Hwang, S.O., "Closed-loop supply chain network design under demand and return uncertainty", Transportation Science, Vol. 51, No. 4, (2016), 1063-1085.
9
10. Fleischmann, M., Beullens, P., BLOEMHOF‐RUWAARD, J.M. and Wassenhove, L.N., "The impact of product recovery on logistics network design", Production and Operations Management, Vol. 10, No. 2, (2001), 156-173.
10
11. Ghomi-Avili, M., Tavakkoli-Moghaddam, R., Jalali, G. and Jabbarzadeh, A., "A network design model for a resilient closed-loop supply chain with lateral transshipment", International Journal of Engineering-Transactions C: Aspects, Vol. 30, No. 3, (2017), 374-380.
11
12. Kleindorfer, P.R. and Saad, G.H., "Managing disruption risks in supply chains", Production and Operations Management, Vol. 14, No. 1, (2005), 53-68.
12
13. Tabrizi, B.H. and Razmi, J., "Introducing a mixed-integer non-linear fuzzy model for risk management in designing supply chain networks", Journal of Manufacturing Systems, Vol. 32, No. 2, (2013), 295-307.
13
14. Wu, Y., Dong, M., Tang, W. and Chen, F.F., "Performance analysis of serial supply chain networks considering system disruptions", Production Planning and Control, Vol. 21, No. 8, (2010), 774-793.
14
15. Peng, P., Snyder, L.V., Lim, A. and Liu, Z., "Reliable logistics networks design with facility disruptions", Transportation Research Part B: Methodological, Vol. 45, No. 8, (2011), 1190-1211.
15
16. Zarrinpoor, N., Fallahnezhad, M. and Pishvaee, M., "Design of a reliable facility location model for health service networks", International Journal of Engineering, Vol. 30, No. 1, (2017), 75-84.
16
17. Pishvaee, M.S., Razmi, J. and Torabi, S.A., "Robust possibilistic programming for socially responsible supply chain network design: A new approach", Fuzzy Sets and Systems, Vol. 206, (2012), 1-20.
17
18. Jabbarzadeh, A., Fahimnia, B., Sheu, J.-B. and Moghadam, H.S., "Designing a supply chain resilient to major disruptions and supply/demand interruptions", Transportation Research Part B: Methodological, Vol. 94, (2016), 121-149.
18
19. Santoso, T., Ahmed, S., Goetschalckx, M. and Shapiro, A., "A stochastic programming approach for supply chain network design under uncertainty", European Journal of Operational Research, Vol. 167, No. 1, (2005), 96-115.
19
20. Tyagi, M., Kumar, D. and Kumar, P., "Assessing csr practices for supply chain performance system using fuzzy dematel approach", International Journal of Logistics systems and Management, Vol. 22, No. 1, (2015), 77-102.
20
21. Qiu, R. and Wang, Y., "Supply chain network design under demand uncertainty and supply disruptions", J. Scientific Programming, Hindawi Vol. 2016, (2016), article 5 doi: 10.1155/2016/3848520
21
22. Xie, W., Ouyang, Y. and Wong, S.C., "Reliable location-routing design under probabilistic facility disruptions", Transportation Science, Vol. 50, No. 3, (2015), 1128-1138.
22
23. Tang, C.S., "Robust strategies for mitigating supply chain disruptions", International Journal of Logistics: Research and Applications, Vol. 9, No. 1, (2006), 33-45.
23
24. Snyder, L.V. and Daskin, M.S., "Reliability models for facility location: The expected failure cost case", Transportation Science, Vol. 39, No. 3, (2005), 400-416.
24
25. Shishebori, D. and Babadi, A.Y., "Robust and reliable medical services network design under uncertain environment and system disruptions", Transportation Research Part E: Logistics and Transportation Review, Vol. 77, (2015), 268-288.
25
26. Alem, D.J. and Morabito, R., "Production planning in furniture settings via robust optimization", Computers & Operations Research, Vol. 39, No. 2, (2012), 139-150.
26
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27
28. Leung, S., Wu, Y. and Lai, K., "A stochastic programming approach for multi-site aggregate production planning", Journal of the Operational Research Society, Vol. 57, No. 2, (2006), 123-132.
28
29. Mirzapour Al-E-Hashem, S., Malekly, H. and Aryanezhad, M., "A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty", International Journal of Production Economics, Vol. 134, No. 1, (2011), 28-42.
29
30. Shabani, N. and Sowlati, T., "A hybrid multi-stage stochastic programming-robust optimization model for maximizing the supply chain of a forest-based biomass power plant considering uncertainties", Journal of Cleaner Production, Vol. 112, No., (2016), 3285-3293.
30
31. Gabrel, V., Murat, C. and Thiele, A., "Recent advances in robust optimization: An overview", European Journal of Operational Research, Vol. 235, No. 3, (2014), 471-483.
31
32. Azaron, A., "A multi-objective stochastic programming model for designing supply chain networks", IFAC Proceedings Volumes, Vol. 46, No. 9, (2013), 1956-1960.
32
33. Hahn, G.J. and Kuhn, H., "Value-based performance and risk management in supply chains: A robust optimization approach", International Journal of Production Economics, Vol. 139, No. 1, (2012), 135-144.
33
34. Sadghiani, N.S., Torabi, S. and Sahebjamnia, N., "Retail supply chain network design under operational and disruption risks", Transportation Research Part E: Logistics and Transportation Review, Vol. 75, (2015), 95-114.
34
35. Niknamfar, A.H., Niaki, S.T.A. and Pasandideh, S.H.R., "Robust optimization approach for an aggregate production–distribution planning in a three-level supply chain", The International Journal of Advanced Manufacturing Technology, Vol. 76, No. 1-4, (2015), 623-634.
35
ORIGINAL_ARTICLE
Experimental Study of The Mechanical Properties of Banana Fiber and Groundnut Shell Ash Reinforced Epoxy Hybrid Composite
Effect of addition of filler material to the natural fiber composite was experimentally investigated. Composites are manufactured by the conventional hand-layup method. All composites are made with a fixed banana fiber with 15% weight fraction addition of different weight fraction of (0, 3, 5, 7.5%) groundnut shell ash is added to the composite. Tensile, hardness, impact and compressive strength are conducted to find the mechanical behaviour of the composites. Preparation and testing were conducted according to ASTM standards. Results illustrate that mechanical properties are improved by the addition of groundnut shell ash to the epoxy based banana fiber composite. Natural fiber composites are predominantly used in automobile (Door pannels, interior parts and cabin linings), aerospace and packing material. Natural fibers have more advantages like low cost, biodegradable and low density than the inorganic materials, the environmental impact of the natural fibers are less compared to synthetic fibers.
https://www.ije.ir/article_73164_335e9678b4ff136d4455663cf6311780.pdf
2018-04-01
659
665
Reinforced Polymer Composites
Banana Fibers
Mechanical properties
Groundnut Shell Ash
A
Lakshumu Naidu
annepunaidu@gmail.com
1
Department of Mechanical Engg, GMRIT, Rajam, India
AUTHOR
S
Kona
sri.vas028@gmail.com
2
Department of Mechanical Engg, GMRIT, Rajam, India
LEAD_AUTHOR
1. Wambua, P., Ivens, J. and Verpoest, I., "Natural fibres: Can they replace glass in fibre reinforced plastics?", Composites Science And Technology, Vol. 63, No. 9, (2003), 1259-1264.
1
2. Pickering, K.L., Efendy, M.A. and Le, T.M., "A review of recent developments in natural fibre composites and their mechanical performance", Composites Part A: Applied Science and Manufacturing, Vol. 83, (2016), 98-112.
2
3. Srinivas, K., Naidu, A.L. and RAJU BAHUBALENDRUNI, M., "A review on chemical and mechanical properties of natural fiber reinforced polymer composites", International Journal of Performability Engineering, Vol. 13, No. 2, (2017).
3
4. Pothan, L.A., Oommen, Z. and Thomas, S., "Dynamic mechanical analysis of banana fiber reinforced polyester composites", Composites Science and Technology, Vol. 63, No. 2, (2003), 283-293.
4
5. Sapuan, S., Leenie, A., Harimi, M. and Beng, Y.K., "Mechanical properties of woven banana fibre reinforced epoxy composites", Materials & Design, Vol. 27, No. 8, (2006), 689-693.
5
6. Wang, X. and He, W., "Mechanical properties of irregular fiber (invited review paper)", International Journal of Engineering-Transactions A: Basics, Vol. 16, No. 1, (2003), 99-108.
6
7. Behzad, M., Tajvidi, M. and Ehramini, G., "Dynamic mechanical analysis of compatibilizer effect on the mechanical properties of wood flour–hight-density", Iran. Robert H. Falk (Revised: 2004) Forest Product Laboratory, USDA Forest Service WI. USA, Vol.17, No. 1, (2003).95-104.
7
8. Maleque, M., Belal, F. and Sapuan, S., "Mechanical properties study of pseudo-stem banana fiber reinforced epoxy composite", The Arabian Journal for Science and Engineering, Vol. 32, No. 2B, (2007), 359-364.
8
9. Bisanda, E. and Ansell, M.P., "The effect of silane treatment on the mechanical and physical properties of sisal-epoxy composites", Composites Science and Technology, Vol. 41, No. 2, (1991), 165-178.
9
10. Paul, S.A., Boudenne, A., Ibos, L., Candau, Y., Joseph, K. and Thomas, S., "Effect of fiber loading and chemical treatments on thermophysical properties of banana fiber/polypropylene commingled composite materials", Composites Part A: Applied Science and Manufacturing, Vol. 39, No. 9, (2008), 1582-1588.
10
11. Boopalan, M., Niranjanaa, M. and Umapathy, M., "Study on the mechanical properties and thermal properties of jute and banana fiber reinforced epoxy hybrid composites", Composites Part B: Engineering, Vol. 51, (2013), 54-57.
11
12. Venkateshwaran, N., ElayaPerumal, A., Alavudeen, A. and Thiruchitrambalam, M., "Mechanical and water absorption behaviour of banana/sisal reinforced hybrid composites", Materials & Design, Vol. 32, No. 7, (2011), 4017-4021.
12
13. Alamri, H. and Low, I.M., "Mechanical properties and water absorption behaviour of recycled cellulose fibre reinforced epoxy composites", Polymer Testing, Vol. 31, No. 5, (2012), 620-628.
13
14. Pothan, L.A., Thomas, S. and Groeninckx, G., "The role of fibre/matrix interactions on the dynamic mechanical properties of chemically modified banana fibre/polyester composites", Composites Part A: Applied Science and Manufacturing, Vol. 37, No. 9, (2006), 1260-1269.
14
15. Pothan, L.A. and Thomas, S., "Polarity parameters and dynamic mechanical behaviour of chemically modified banana fiber reinforced polyester composites", Composites Science and Technology, Vol. 63, No. 9, (2003), 1231-1240.
15
16. Naidu, A.L. and Rao, P.R., "A review on chemical behaviour of natural fiber composites", International Journal of Chemical Sciences, Vol. 14, No. 4, (2016), 2223-2238.
16
17. S. S. Junian, J.S., M. Z. H. Makmud, Y. Z. Arief, and M. U. Wahit, "Tensile and physical properties of linear low density polyethylene-natural rubber composite : Comparison between size and filler types", Ije Transactions C: Aspects, Vol. 29, No. 9, (2016), 1257-1262.
17
18. A. Lakshumu Naidu, V.J.a.M.V.A.R.B., "A review on chemical and physical properties of natural fiber reinforced composites ", International Journal of Advanced Research in Engineering and Technology, Vol. 8, No. 1, (2017), 56-68.
18
19. Anandjiwala, M.J.J.R.D., "Recent developments in chemical modification and characterization of natural fiber‐reinforced composites", Polymer Composites, Vol. 29, No. 2, (2007), 187-207.
19
20. Gassan, J., and Voytek S. Gutowski, "Effects of corona discharge and uv treatment on the properties of jute-fibre epoxy composites", Composites Science and Technology, Vol. 60, No. 15, (2000), 2857-2863.
20
21. Mohamed Ragoubi, D.B., Stéphane Molina, Béatrice George, André Merlin, "Impact of corona treated hemp fibres onto mechanical properties of polypropylene composites made thereof", Industrial Crops and Products, Vol. 31, No. 2, (2010), 344-349.
21
22. N. Venkateshwaran, A.E.P., D. Arunsundaranayagam, "Fiber surface treatment and its effect on mechanical and visco-elastic behaviour of banana/epoxy composite", Materials & Design, Vol. 47, 151-159, (2013).
22
23. Idicula, M., Joseph, K. and Thomas, S., "Mechanical performance of short banana/sisal hybrid fiber reinforced polyester composites", Journal of Reinforced Plastics and Composites, Vol. 29, No. 1, (2010), 12-29.
23
24. Manna, S., Saha, P., Chowdhury, S., Thomas, S. and Sharma, V., "Alkali treatment to improve physical, mechanical and chemical properties of lignocellulosic natural fibers for use in various applications", Lignocellulosic Biomass Production and Industrial Applications, (2017), 47-63.
24
25. Manikandan, N., Morshed, M.N., Karthik, R., Al Azad, S., Deb, H., Rumi, T.M. and Ahmed, M.R., "Improvement of mechanical properties of natural fiber reinforced jute/polyester epoxy composite through meticulous alkali treatment", American Journal of Current Organic Chemistry, Vol. 3, No. 1, (2017), 9-18.
25
26. Low, J.H., Andenan, N. and Wan Abdul Rahman, W.A., "The influence of crosslink chemicals on the mechanical strength and water absorption of rice straw-based green composites", Journal of Natural Fibers, Vol. 15, No. 1, (2018), 122-130.
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28. Kabir, M., Wang, H., Lau, K. and Cardona, F., "Chemical treatments on plant-based natural fibre reinforced polymer composites: An overview", Composites Part B: Engineering, Vol. 43, No. 7, (2012), 2883-2892.
28
29. Bakri, M.K.B., Jayamani, E. and Hamdan, S., "Processing and characterization of banana fiber/epoxy composites: Effect of alkaline treatment", Materials Today: Proceedings, Vol. 4, No. 2, (2017), 2871-2878.
29
30. Ismail, H., Edyham, M. and Wirjosentono, B., "Bamboo fibre filled natural rubber composites: The effects of filler loading and bonding agent", Polymer Testing, Vol. 21, No. 2, (2002), 139-144.
30
31. Naidu, A.L., Sudarshan, B. and Krishna, K.H., "Study on mechanical behavior of groundnut shell fiber reinforced polymer metal matrix composities", International Journal of Engineering Research and Technology, Vol. 2, No. 2, (2013). https://www.ripublication.com/irph/ijert.htm.
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32. Mosalman, S., Rashahmadi, S. and Hasanzadeh, R., "The effect of tio2 nanoparticles on mechanical properties of poly methyl methacrylate nanocomposites (research note)", International Journal of Engineering-Transactions B: Applications, Vol. 30, No. 5, (2017), 807-813.
32
33. Chaboki, K. A., Sadrnezhad, S. And Yahyaei, M., "Stress transfer modeling in cnt reinforced composites using continuum mechanics", Vol.21, No.3, (2008). 227-234.
33
34. Naidu, A.L., Raghuveer, D. and Suman, P., "Studies on characterization and mechanical behavior of banana peel reinforced epoxy composites", Int J Sci Eng Res, Vol. 4, No. 6, (2013), 844-851.
34
35. Suman, P., Naidu, A.L. and Rao, P.R., "Processing and mechanical behaviour of hair fiber reinforced polymer metal matrix composites", in International Conference on Recent Innovations in Engineering and Technology (ICRIET-2k16), Organized by Gandhi Institute of Engineering and Technology, Gunpur on 5th & 6th November-2016.
35
36. Shahzad, A. and Nasir, S.U., Mechanical properties of natural fiber/synthetic fiber reinforced polymer hybrid composites, in Green biocomposites. 2017, Springer.355-396.
36
37. Manikandan, V. and Uthayakumar, M., "Effect of redmud particulates on mechanical properties of bfrp composites", International Journal of Engineering-Transactions B: Applications, Vol. 27, No. 11, (2014), 1741.
37
ORIGINAL_ARTICLE
Pareto Optimization of Two-element Wing Models with Morphing Flap Using Computational Fluid Dynamics, Grouped Method of Data handling Artificial Neural Networks and Genetic Algorithms
A multi-objective optimization (MOO) of two-element wing models with morphing flap by using computational fluid dynamics (CFD) techniques, artificial neural networks (ANN), and non-dominated sorting genetic algorithms (NSGA II), is performed in this paper. At first, the domain is solved numerically in various two-element wing models with morphing flap using CFD techniques and lift (L) and drag (D) coefficients in wings are calculated. Afterward, for modeling L and D using grouped method of data handling (GMDH) type artificial neural networks, numerical data of the preceding step will be applied. Eventually, for Pareto based multi-objective optimization of two-element wing models with morphing flap using NSGA II algorithm, the modeling, which is accomplished by GMDH will be applied. It is shown that the achieved Pareto solution includes important design information on such wings.
https://www.ije.ir/article_73165_deb2be7ff4152fe2f5b6de17fb9519ee.pdf
2018-04-01
666
672
Two
element Wings
Morphing Flap
multi
objective optimization
Grouped Method of data Handling
NSGA II
Quadrature Phase Shift Keying
H
Safikhani
h-safikhani@araku.ac.ir
1
Department of Mechanical Engineering, Faculty of Engineering, Arak University, Arak, Iran
LEAD_AUTHOR
M
Jamalinasab
m-jamalinasab@yahoo.com
2
Department of Mechanical Engineering, Malek-ashtar University of Technology, Isfahan, Iran
AUTHOR
1. Gamboa, P., Aleixo, P., Vale, J., Lau, F. and Suleman, A., Design and testing of a morphing wing for an experimental uav. 2007, University Of Beira Interior Covilha (Portugal).
1
2. Trapani, G., Kipouros, T. and Savill, A., "Computational aerodynamic design for 2d high-lift airfoil configurations", Pegasus AIAA, (2010).
2
3. Steinbuch, M., Marcus, B. and Shepshelovich, M., "Development of uav wings-subsonic designs", in 41st Aerospace Sciences Meeting and Exhibit., (2003), 603-610.
3
4. Kanazaki, M., Tanaka, K., Jeong, S. and Yamamoto, K., "Multi-objective aerodynamic optimization of elements' setting for high-lift airfoil using kriging model", in 44th AIAA Aerospace Sciences Meeting and Exhibit., (2006), 1471-1480.
4
5. Jeong, S., Murayama, M. and Yamamoto, K., "Efficient optimization design method using kriging model", Journal of Aircraft, Vol. 42, No. 2, (2005), 413-420.
5
6. Simpson, T., Mistree, F., Korte, J. and Mauery, T., "Comparison of response surface and kriging models for multidisciplinary design optimization", in 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization., (1998), 4755-4762.
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7. Landman, D. and Britcher, C.P., "Experimental geometry optimization techniques for multi-element airfoils", Journal of Aircraft, Vol. 37, No. 4, (2000), 707-713.
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8. Vavalle, A. and Qin, N., "Iterative response surface based optimization scheme for transonic airfoil design", Journal of Aircraft, Vol. 44, No. 2, (2007), 365-376.
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9. Xiong-feng, Z., Zhong-xi, H., Zheng, G. and Zhao-Wei, L., "Dynamic mesh based airfoil design optimization", World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol. 6, No. 9, (2012), 1902-1907.
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10. Ross, T.E. and Crossley, W.A., "Method to assess commercial aircraft technologies", Journal of Aircraft, Vol. 37, No. 4, (2000), 570-579.
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11. Secanell, M., Suleman, A. and Gamboa, P., "Design of a morphing airfoil using aerodynamic shape optimization", AIAA Journal, Vol. 44, No. 7, (2006), 1550-1562.
11
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13
14. Renukumar, B., Bramkamp, F.D., Hesse, M. and Ballmann, J., "Effect of flap and slat riggings on 2-d high-lift aerodynamics", Journal of Aircraft, Vol. 43, No. 5, (2006), 1259-1271.
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16. Manshadi, M.D. and Jamalinasab, M., "Optimizing a two-element wing model with morphing flap by means of the response surface method", Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, Vol. 41, No. 4, (2017), 343-352.
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17. Farlow, S., Self-organizing method in modeling: Gmdh type algorithm, 1984, Marcel Dekker Inc., New York.
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18. Amanifard, N., Nariman-Zadeh, N., Farahani, M. and Khalkhali, A., "Modelling of multiple short-length-scale stall cells in an axial compressor using evolved gmdh neural networks", Energy Conversion and Management, Vol. 49, No. 10, (2008), 2588-2594.
18
19. Nariman-Zadeh, N., Darvizeh, A. and Ahmad-Zadeh, G., "Hybrid genetic design of gmdh-type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 217, No. 6, (2003), 779-790.
19
20. Amanifard, N., Nariman-Zadeh, N., Borji, M., Khalkhali, A. and Habibdoust, A., "Modelling and pareto optimization of heat transfer and flow coefficients in microchannels using gmdh type neural networks and genetic algorithms", Energy Conversion and Management, Vol. 49, No. 2, (2008), 311-325.
20
21. Deb, K., Pratap, A., Agarwal, S. and Meyarivan, T., "A fast and elitist multiobjective genetic algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, (2002), 182-197.
21
22. Safikhani, H., Akhavan-Behabadi, M., Nariman-Zadeh, N. and Abadi, M.M., "Modeling and multi-objective optimization of square cyclones using cfd and neural networks", Chemical Engineering Research and Design, Vol. 89, No. 3, (2011), 301-309.
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23. Sanaye, S. and Hajabdollahi, H., "Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm", Applied Energy, Vol. 87, No. 6, (2010), 1893-1902.
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27. M., N.K. and Muddkavi Y., "Cfd analysis of multi-element aerofoils using openfoam", in Proceedings of the 37th National & 4th International Conference on Fluid Mechanics and Fluid Power, IIT Madras, Chennai, India., (2010).
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28
ORIGINAL_ARTICLE
Blood Flow Simulation in an Aorta with a mild coarctation Using Magnetic Resonance Angiography and Finite Volume Method
Coarctation of the aorta is one of the five main congenital cardiovascular failures, accounting for 6–8 percent of these failures. This research aimed to simulate the blood flow of a seventeen-year-old male teen with a mild coarctation at one-third of his aorta's descending branch. The simulation was performed by extracting the domain and the input pulsatile velocity signal as the boundary condition at the aorta entrance using magnetic resonance angiography (MRA) and the finite volume method (FVM), as well as a large eddy simulation (LES) turbulence model. The results were validated by comparing the blood flow static pressure from the numerical simulation to a clinical measurement available in the literature. The Inclusion of the turbulence model in the solution resulted in a static pressure for the heart’s normal function at the coarctation that agreed very well with the clinical measurement; the difference was just 0.39 mmHg. Therefore, the study confirmed the validity of the simulation results, the assumption that a turbulence regime exists inside an aorta with a coarctation, and the efficiency of the LES turbulence model for simulating cardiovascular flows.
https://www.ije.ir/article_73166_f8fd173b5b7394d4c42bfc63d437f1b2.pdf
2018-04-01
673
678
Aortic Coarctation
finite volume method
Magnetic Resonance Angiography
Large Eddy Simulation Model
Windkessel Model
R
Ghasemiasl
ghasemiasl.r@wtiau.ac.ir
1
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
LEAD_AUTHOR
R
Ostadhossein
ostadhossein.sepehr@wtiau.ac.ir
2
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
M. A
Javadi
benyaminjava@gmail.com
3
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
S
Hoseinzadeh
hoseinzadeh.siamak@gmail.com
4
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
1. Morgagni, J., "De sedibus et causis morborum, 1761", Classics of cardiology. Malabar, Fla: Robert E. Kreiger, (1983), 186-187.
1
2. Jain, M., Sharma, G. and Singh, R., "Mathematical modelling of blood flow in a stenosed artery under mhd effect through porous medium", International Journal of Engineering, Transactions B, Vol. 23, No. 3-4, (2010), 243-251.
2
3. Kumar, S. and Kumar, D., "Oscillatory mhd flow of blood through an artery with mild stenosis (research note)", International Journal of Engineering-Transactions A: Basics, Vol. 22, No. 2, (2008), 125-130.
3
4. Jain, M., Sharma, G. and Sharma, S.K., "A mathematical model for blood flow through narrow vessels with mild stenosis", International Journal of Engineering, Transactions B: Applications, Vol. 22, No. 1, (2009), 99-106.
4
5. Gupta, A.K., "Performance model and analysis of blood flow in small vessels with magnetic effects", International Journal of Engineering-Transactions A: Basics, Vol. 25, No. 2, (2012), 189-196.
5
6. Crosetto, P., Reymond, P., Deparis, S., Kontaxakis, D., Stergiopulos, N. and Quarteroni, A., "Fluid–structure interaction simulation of aortic blood flow", Computers & Fluids, Vol. 43, No. 1, (2011), 46-57.
6
7. Jahangiri, M., Saghafian, M. and Sadeghi, M.R., "Numerical study of turbulent pulsatile blood flow through stenosed artery using fluid-solid interaction", Computational and Mathematical Methods in Medicine, Vol. 2015, (2015), Article ID 515613.
7
8. Yin, J., Xiang, Y. and Dou, Q., "Three-dimensional reconstruction and numerical simulation of blood flow in human thoracic aortic", in Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on, IEEE., (2010), 1-4.
8
9. Manimaran, R., "Cfd simulation of non-newtonian fluid flow in arterial stenoses with surface irregularities", World Academy of Science, Engineering and Technology, Vol. 73, No. 5, (2011), 804-809.
9
10. Wang, X., Walters, D.K., Burgreen, G.W. and Thompson, D.S., "Traditional cfd boundary conditions applied to blood analog flow through a patient-specific aortic coarctation", in International Workshop on Statistical Atlases and Computational Models of the Heart, Springer., (2013), 118-125.
10
11. Sotelo, J., Urbina, J., Valverde, I., Tejos, C., Irarrázaval, P., Hurtado, D.E. and Uribe, S., "Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast mr data of the thoracic aorta", Journal of Biomechanics, Vol. 48, No. 10, (2015), 1817-1827.
11
12. Arokiaraj, M., De Beule, M. and De Santis, G., "A novel sax-stent method in treatment of ascending aorta and aortic arch aneurysms evaluated by finite element simulations", JMV-Journal de Médecine Vasculaire, Vol. 42, No. 1, (2017), 39-45.
12
13. Lilly, D.K., "A proposed modification of the germano subgrid‐scale closure method", Physics of Fluids A: Fluid Dynamics, Vol. 4, No. 3, (1992), 633-635.
13
14. Westerhof, N., Lankhaar, J.-W. and Westerhof, B.E., "The arterial windkessel", Medical & Biological Engineering & Computing, Vol. 47, No. 2, (2009), 131-141.
14
ORIGINAL_ARTICLE
Determining of Geotechnical Domain Based on Joint Density and Fault Orientation at Batu Hijau Mine,West Sumbawa-Indonesia (TECHNICAL NOTE)
The research area is located at Batu Hijau Mine – PT Amman Mineral Nusa Tenggara, administratively located at the southwestern of Sumbawa, West Nusa Tenggara Province – Indonesia. The research area is controlled by tectonism in accordance to close with the active tectonic plate at southern part of this island. The presence of the active tectonic regime causes of the rich deposit of ore mineralization and intensive of geological structure in this region. The study was focused on how to develop geotechnical domain which is an important aspect for developing of open pit mine design. The data collecting methods are obtaining by the window and scanline geotechnical mapping in line with excavation stage to execute pit slope design. The research result shows that the geological information is very useful to determine the geotechnical domain. It can be used for guidance on developing pit slope design parameter in open pit mining, and other geotechnical purpose such as defining probability of failure, slope movement guidance, and risk assessment.
https://www.ije.ir/article_73167_cc549939848797d00bbdcac3fb38aaec.pdf
2018-04-01
679
683
Batu Hijau Mine
Geotechnical domain
Geotechnical Mapping
Y
Adriansyah
yan.adriansyah@amnt.co.id
1
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
LEAD_AUTHOR
Z
Zakaria
zufialdi.zakaria@unpad.ac.id
2
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
AUTHOR
D
Muslim
d.muslim@unpad.ac.id
3
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
AUTHOR
F
Hirnawan
fhirnawan@ymail.com
4
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
AUTHOR
1. Garwin, S., "The geologic setting of intrusion-related hydrothermal systems near the batu hijau porphyry copper-gold deposit, sumbawa, indonesia", Society of Economic Geologists Special Publication, Vol. 9, No., (2002), 333-366.
1
2. Dearman, W., "Engineering geological mapping, Elsevier, (2013).
2
3. Read, J. and Beale, G., "Guidelines for evaluating water in pit slope stability, Csiro Publishing, (2013).
3
4. Abzalov, M., "Applied mining geology, Springer, Vol. 12, (2016).
4
5. Clode, C., "Relationships of intrusion, wall-rock alteration and mineralisation in the batu hijau copper-gold porphyry deposit", in Proceedings Pacrim Congress, 10-13 October 1999, Bali, Indonesia, Australasian Institute of Mining and Metallurgy. Vol., No. Issue, (1999), 485-498.
5
6. Galvin, J., "Ground engineering-principles and practices for underground coal mining, Springer, (2016).
6
7. Human, L. and Jupp, B., "Geotechnical data collection and presentation-it starts and ends with a vision", AusIMM Bulletin, Vol., No. Aug 2016, (2016), 76-78.
7