Composite Multi Wall Carbon Nano Tube Polydimethylsiloxane Membrane Bioreactor for Enhanced Bioethanol Production from Broomcorn Seeds
A
Farahi
Biotechnology Research Laboratory, Faculty of Chemical Engineering, Noushirvani University of Technology, Babol, Iran
author
G. D
Najafpour
Biotechnology Research Laboratory, Faculty of Chemical Engineering, Noushirvani University of Technology, Babol, Iran
author
A
Ghoreyshi
Biotechnology Research Laboratory, Faculty of Chemical Engineering, Noushirvani University of Technology, Babol, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
516
523
https://www.ije.ir/article_73147_41c78db549df58b435392a5065d51653.pdf
Online Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model
R
Parvizi Moghadam
Center for Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
author
F
Shahraki
Center for Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
author
J
Sadeghi
Center for Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
524
532
https://www.ije.ir/article_73148_68bbb0869bba26bb07543513f415de7e.pdf
Isolationand Characterization of Nanocrystal from Corncob Waste Using H2SO4 Hydrolysis Method (RESEARCH NOTE)
H
Harahap
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
author
R
Nawansyah
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
author
H
Nasution
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
author
T
Taslim
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
author
I
Iriany
Department of Chemical Engineering, Universitas Sumatera Utara, Medan, Indonesia
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
533
537
https://www.ije.ir/article_73149_8d66366d95de0f51624f1cc33b740297.pdf
Free Vibration of a Generalized Plane Frame
M
Rezaiee-Pajand
Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
author
A
Aftabi Sani
Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
author
S. M
Hozhabrossadati
Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
538
547
https://www.ije.ir/article_73150_706cc0e217ecfdd8f4a6b541762547b8.pdf
Behavioral Interference of Vibrating Machines Foundations Constructed on Sandy Soils (RESEARCH NOTE)
H
Javdanian
Department of Civil Engineering, Shahrekord University, Shahrekord, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
548
553
https://www.ije.ir/article_73151_b441d2960512b6ccb3e19341163f4a51.pdf
Nitrate Removal from Aqueous Solutions Using Granular Activated Carbon Modified with Iron Nanoparticles (RESEARCH NOTE)
B
Kamarehie
Nutrition Health Research Center, Department of Environment Health, School of Health and Nutrition, Lorestan University of Medical Sciences,
Khorramabad, Iran
author
E
Aghaali
Department of Environment Health, Lorestan University of Medical Sciences, Khorramabad, Iran
author
SA
Mousavi
Department of Environment Health, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
author
SY
Hashemi
Department of Environment Health, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
author
A
Jafari
Nutrition Health Research Center, Department of Environment Health, School of Health and Nutrition, Lorestan University of Medical Sciences,
Khorramabad, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
554
563
https://www.ije.ir/article_73152_e3c0dbb71b546a8e678307f0cc440d03.pdf
Application of an Additive Self-tuning Controller for Static Synchronous Series Compensator for Damping of Sub-synchronous Resonance Oscillations
M
Abbasi
Department of Electrical Engineering , Urmia University, Urmia, Iran
author
H
Shayestehkhah
Department of Electrical Engineering , Urmia University, Urmia, Iran
author
B
Tousi
Department of Electrical Engineering , Urmia University, Urmia, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
564
573
https://www.ije.ir/article_73153_7566dbcc28b30ebb8f8d20ed643f2950.pdf
An Efficient Hierarchical Modulation based Orthogonal Frequency Division Multiplexing Transmission Scheme for Digital Video Broadcasting
K
Chandra Kala
Department of Electronics and Communication Engineering, NoorulIslam centre for Higher Education, Thuckalay, India
author
J
Jayakumari
Mar Baselios College of Engineering and Technology, Trivandrum, Kerala, India
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
574
579
https://www.ije.ir/article_73154_065d2bf4b6813b1890b0475030a40d8f.pdf
A New Implementation of Maximum Power Point Tracking Based on Fuzzy Logic Algorithm for Solar Photovoltaic System
T
Boutabba
University of Batna2, Moustaphe Benboulaid, Laboratoire LSPIE, Anevue Med Elhadi Boukhlouf, Algeria
author
S
Drid
University of Batna2, Moustaphe Benboulaid, Laboratoire LSPIE, Anevue Med Elhadi Boukhlouf, Algeria
author
L
Chrifi-Alaoui
University of Picardie Jules Verne, LTI, 13 av F. Mitterrand, Cuffies, France
author
M. E
Benbouzid
University of Brest, EA 4325 LBMS Rue de Kergoat, France
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
580
587
https://www.ije.ir/article_73155_72f1838b729165fb52c5c39011adf806.pdf
Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
R
Arab
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
author
S.F
Ghaderi
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
author
R
Tavakkoli-Moghaddam
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
588
596
https://www.ije.ir/article_73156_7124f4427ba5213028bedc5bb91ee999.pdf
Application of Multivariate Control Charts for Condition Based Maintenance
H
Rasay
Department of Industrial Engineering, Yazd University, Yazd, Iran
author
M. S
Fallahnezhad
Department of Industrial Engineering, Yazd University, Yazd, Iran
author
Y
Zaremehrjardi
Department of Industrial Engineering, Yazd University, Yazd, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
597
604
https://www.ije.ir/article_73157_f24a1d244da0401dce0cc8e94ccab722.pdf
Comparison of Inventory Models for Optimal Working Capital; Case of Aeronautics Company
Z
Benmamoun
GS Laboratory, ENSA, University Campus, Kenira14000, Morocco
author
H
Hachimi
GS Laboratory, ENSA, University Campus, Kenira14000, Morocco
author
A
Amine
GS Laboratory, ENSA, University Campus, Kenira14000, Morocco
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
605
611
https://www.ije.ir/article_73158_da7a77fbb8436f368b48b8f58e2eb4d2.pdf
A New Combination of Robust-possibilistic Mathematical Programming for Resilient Supply Chain Network under Disruptions and Uncertainty: A Real Supply Chain (RESEARCH NOTE)
A
Hamidieh
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
author
A
Arshadi khamseh
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
author
B
Naderi
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
612
621
https://www.ije.ir/article_73159_341a0c5e9bfe03fd85666fe68dcd190c.pdf
Characterization and Utilization of Zeolite for NPK Slow Release Fertilizer (RESEARCH NOTE)
T. E
Agustina
Chemical Engineering Department, Universitas Sriwijaya, Palembang, Indonesia
author
I
Rizky
Chemical Engineering Department, Universitas Sriwijaya, Palembang, Indonesia
author
M. E. W
Utama
Chemical Engineering Department, Universitas Sriwijaya, Palembang, Indonesia
author
M. I
Amal
Material and Metallurgy Research Center, Indonesian Research Institute, Serpong, Indonesia
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
622
628
https://www.ije.ir/article_73160_f70c19dcec7c7f606ca43f405c16836e.pdf
Economic-statistical Design of NP Control Chart with Variable Sample Size and Sampling Interval
M. S
Fallahnezhad
Department of Industrial Engineering, Yazd University, Yazd, Iran
author
M
Shojaie-Navokh
Department of Industrial Engineering, Yazd University, Yazd, Iran
author
Y
Zare-Mehrjerdi
Department of Industrial Engineering, Yazd University, Yazd, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
629
639
https://www.ije.ir/article_73161_2cadccff35852c887ac57e87d4c3f58b.pdf
Modeling the Trade-off between Manufacturing Cell Design and Supply Chain Design
M
Soolaki
Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran
author
J
Arkat
Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran
author
F
Ahmadizar
Department of Industrial Engineering, University of Kurdistan, Kurdistan, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
640
647
https://www.ije.ir/article_73162_7e0661fcd33bef04723bd6045b613cfd.pdf
A Robust Reliable Closed Loop Supply Chain Network Design under Uncertainty: A Case Study in Equipment Training Centers
A
Hamidieh
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
author
A
Arshadikhamseh
Department of Industrial Engineering, Payamnoor University, Tehran, Iran
author
M
Fazli-Khalaf
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
648
658
https://www.ije.ir/article_73163_cda0f6c8f9b2ac0865b2815d1f8e5898.pdf
Experimental Study of The Mechanical Properties of Banana Fiber and Groundnut Shell Ash Reinforced Epoxy Hybrid Composite
A
Lakshumu Naidu
Department of Mechanical Engg, GMRIT, Rajam, India
author
S
Kona
Department of Mechanical Engg, GMRIT, Rajam, India
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
659
665
https://www.ije.ir/article_73164_335e9678b4ff136d4455663cf6311780.pdf
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
H
Safikhani
Department of Mechanical Engineering, Faculty of Engineering, Arak University, Arak, Iran
author
M
Jamalinasab
Department of Mechanical Engineering, Malek-ashtar University of Technology, Isfahan, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
666
672
https://www.ije.ir/article_73165_deb2be7ff4152fe2f5b6de17fb9519ee.pdf
Blood Flow Simulation in an Aorta with a mild coarctation Using Magnetic Resonance Angiography and Finite Volume Method
R
Ghasemiasl
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
author
R
Ostadhossein
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
author
M. A
Javadi
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
author
S
Hoseinzadeh
Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
673
678
https://www.ije.ir/article_73166_f8fd173b5b7394d4c42bfc63d437f1b2.pdf
Determining of Geotechnical Domain Based on Joint Density and Fault Orientation at Batu Hijau Mine,West Sumbawa-Indonesia (TECHNICAL NOTE)
Y
Adriansyah
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
author
Z
Zakaria
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
author
D
Muslim
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
author
F
Hirnawan
Faculty of Geological Engineering, Padjadjaran University Bandung, Indonesia
author
text
article
2018
eng
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.
International Journal of Engineering
Materials and Energy Research Center
1025-2495
31
v.
4
no.
2018
679
683
https://www.ije.ir/article_73167_cc549939848797d00bbdcac3fb38aaec.pdf