ORIGINAL_ARTICLE
Modeling Transport Phenomena in Selective Catalytic Reductant Catalytic Converter with NH3 as Reductant for NO Degradation
In the current study, reduction of nitrogen oxide from exhaust gas in the presence of NH3 as reductant on selective catalytic reductant (SCR) impregnated catalytic converter was simulated using Comsol© software. Mass transfer (one-dimensional) and heat transfer (three-dimensional) governing equations were taken into account to model the unsteady state behavior of the catalytic converter. Modeling results of reaction rate indicated good agreement with the experimental data. Results showed that the cumulative conversion exceeded 98 percent for both NO and NH3 components in the outflow gas emitted from the converter. In addition, temperature distribution graphs showed that the exhaust gas temperature varied from 450 K at the converter inlet to 550 K at the outlet. According to the results, the temperature tolerance inside the converter was less than 20 °C. Moreover, radial temperature gradient was sharper than axial one because of lesser energy accumulation in the direction of the convective flow.
https://www.ije.ir/article_72782_cae065a6f0e510f516a8fd7e32ef9ff5.pdf
2016-09-01
1183
1190
Mathematical Modeling
Catalytic Converter
Reaction rate
Nitrogen oxide
Mohammad
Abdollahi Moghaddam
m.abdolahi91@gmail.com
1
Chemical Engineering, Arak University
AUTHOR
Ehsan
Salehi
ehsan1salehi@gmail.com
2
Chemical Engineering, Arak University
AUTHOR
Nadia
Sahebjamee
sahebjamee@gmail.com
3
Chemical Engineering, Islamic Azad University, Quchan Branch
AUTHOR
ORIGINAL_ARTICLE
Adsorption of Methylene Blue from Aqueous Solutions by Silk Cocoon
This study concerns the performance of cocoons spun by silk worms as a natural adsorbent for removal of Methylene Blue (MB) from aqueous solutions. To study the adsorption process, the effect of various parameters such as contact time, adsorbent dosage, dye initial concentration, and pH of the solution were investigated. According to the experiments, the kinetic data were best described by pseudo second order model and the equilibrium data were properly fitted to Langmuir model. The maximum adsorbent capacity at ambient temperature was calculated to be 86.2 mg/g. Thermodynamic analysis showed that the process was spontaneous, endothermic with increased randomness at the solid-liquid interface. It was also observed that by manipulating the pH of the solution in acidic range, the adsorbed dye would desorb into the solution suggesting the reusability of the adsorbent. Macroscopic size of the adsorbent offered an additional advantage of advantage of ease of its separation from ease of separation from the solution.
https://www.ije.ir/article_72783_6feee8ecea015cee4e9652be3b170741.pdf
2016-09-01
1191
1197
Natural Adsorbent
Methylene Blue Removal
Silk Cocoon
Water Treatment
Adsorption.
Maryam
Yavari
melika.yavari8@gmail.com
1
Energy, Merc
AUTHOR
Noshin
Salman Tabrizi
s.tabrizi@merc.ac.ir
2
Energy, MERC
AUTHOR
ORIGINAL_ARTICLE
Removal of Dimethyl Phthalate from Aqueous Solution by Synthetic Modified Nano Zeolite Using Cu2O Nanoparticles
In this paper, a novel nano crystalline sodalite was synthesized and characterized by XRF, XRD, SEM and FTIR analysis. Cu2O nanoparticles (30-60 nm) were loaded on nano zeolite bed and utilized as an adsorbent to remove dimethyl phthalate. The SEM-EDX of modified zeolite indicates that the amount of copper loading on the zeolite was 4.5 wt%. Modified nano zeolite was used as an effective adsorbent for removal of dimethyl phthalate from aqueous solutions in batch method. Results showed that Cu2O nanoparticles have a significant effect on the dimethyl phthalate sorption (adsorption rates were 92.98% with 10, 0.4g and 55min of pH, adsorbent dose and contact time, respectively for modified zeolite). The kinetic studies showed that the dimethyl phthalate sorption process was well described by the pseudo second order kinetic model. Also, Langmuir isotherm provided the best fit to the equilibrium data with maximum adsorption capacity of 20.41 mg/g for modified zeolite. Experiments showed increase of temperature has a posetive effect on the dimethyl phthalate sorption process by nano zeolite. Thermodynamic parameters showed that the sorption of dimethyl phthalate onto zeolite was feasible, spontaneous and endothermic under studied conditions.
https://www.ije.ir/article_72784_2cb37ec73e2e126738beda44b24788ce.pdf
2016-09-01
1198
1207
Dimethyl phthalate
Zeolite
Nanoparticles
Isotherm
Thermodynamic
Ehsan
Yousefi
yousefi.ehsann@gmail.com
1
Department of Chemical Engineering, Mazandaran University of Science and Technology, B
AUTHOR
M.
Sharifzadeh
mazyar.sharifzadeh@gmail.com
2
Department of chemical engineering,, Ayatollah Amol
AUTHOR
Hossein
Esfandian
hossein.esfandian@gmail.com
3
chemical engineering, semnan university
AUTHOR
ORIGINAL_ARTICLE
Dechlorination of Polychlorinated Biphenyls in Real Waste Transformer Oil Using a Modified Household Microwave Oven in Presence of Sodium Hydroxide and Polyethylene Glycol
This research was carried out to assess the dechlorination and decomposition of Polychlorinated biphenyls (PCBs) in the real waste transformer oil using polyethylene glycol 1000/NaOH through a modified household microwave oven. To do so, the influence of polyethylene glycol (PEG) (1.5-7.5 g) and NaOH (0.3-1.5 g) under microwave (MW) power of 500 W on the dechlorination efficiency of PCBs, existed in real waste transformer oil, was investigated. The results showed that by increasing the PEG 1000 (1.5- 7.5g) and NaOH (0.3-1.5g) amounts, the dechlorination efficiency of PCBs increased from 35 to 99.99% under MV power of 500 W for the reaction time of 6 min. The optimum amounts of PEG and NaOH were 5 g and 1 g, respectively. The results indicated that the PCBs dechlorination rate followed first-order kinetic (k = 0.019, R2 = 0.91), and more than 90% of total PCBs were dechlorinated at the first 90 seconds of the reaction. After 90 seconds, the dechlorination rate decreased. Accordingly, results showed that MW has extraordinary influence on PCBs decomposition from waste transformer oil, and the reaction time substantially decreased compared to conventional heating.
https://www.ije.ir/article_72785_30244e4cc79c188394831b4aa1c01bbb.pdf
2016-09-01
1208
1213
Microwave
Polychlorinated Biphenyls
dechlorination
Poly Ethylene Glycol
bahram
kamarehie
b.kamarehie@gmail.com
1
eviromental health engineering, school of health and nutrition, lorestan univercity of medical science
AUTHOR
ahmad
jonidi jafari
jonidi_ahmad@yahoo.com
2
Department of Environment Health, school of health, Iran medical Science Univercity
AUTHOR
hasan
asilian mahabadi
asilia_h@modares.ac.ir
3
Department of Occupational Health, Faculty of Medical sciences, Tarbiat Modares Unive
AUTHOR
Seyyed Alireza
Mousavi
seyyedarm@yahoo.com
4
Department of Environment Health, Faculity of Heal, Kermanshah University of Medical Sciences
AUTHOR
ORIGINAL_ARTICLE
Considerations of Well Cementing Materials in High-Pressure, High-Temperature Conditions (RESEARCH NOTE)
As worldwide demand of hydrocarbon is growing fast, the oil and gas companies have been forced to explore reservoirs with more hostile conditions, such as high-pressure, high-temperature conditions. Improved technology, material selection and testing procedures are required to overcome the common problems in these conditions. One of the main phases of well construction is cementing job. Appropriate selection of cementing material can guarantee a successful cementing job. Many researchers investigated the required cement properties for applications in high-pressure, high-temperature conditions. However, the focus of their work was on the mechanical properties of set cement, while the other properties have not been studied enough. The purpose of this work is to produce a high resistant cement system, which can satisfy the other essential requirements at the same time. The main other requirements include free fluid content, thickening time and expansion capability, which have been investigated in this work. The results show that although some cement systems have high mechanical resistant, but their application is limited due to undesirable values of other properties. Therefore, different additives have been used to adjust the properties of the final cement system. The high-resistant cement is produced by adding siliceous material. Free fluid content, thickening time and expansion capability of the high-resistant cements are adjusted by adding polyvinyl alcohol, lignosulfonate and MgO, respectively. The combined effect of these additives is investigated to develop a high-resistant system, which has optimum values of other essential properties too.
https://www.ije.ir/article_72786_4f0c1e67a47cc4f5886e901e152a2900.pdf
2016-09-01
1214
1218
well construction
cement
Compressive strength
HPHT
Nikolay
Nikolaev
nikinik@mail.ru
1
Well Drilling, Saint-Petersburg Mining University
AUTHOR
Seyyed Shahab
Tabatabaee Moradi
s.sh.tabatabaee@gmail.com
2
Well drilling, Saint-Petersburg Mining University
AUTHOR
ORIGINAL_ARTICLE
Comparison of Three Soft Computing Methods in Estimating Apparent Shear Stress in Compound Channels
Apparent shear stress acting on a vertical interface between the main channel and floodplain in a compound channel serves to quantify the momentum transfer between sub sections of this cross section. In this study, three soft computing methods are used to simulate apparent shear stress in prismatic compound channels. The Genetic Algorithm Artificial neural network (GAA), Genetic Programming (GP) and Modified Structure-Multi Layer Perceptron (MS-MLP) are applied to about 100 different data to predict apparent shear stress. The modelling procedure with three models were extended and the best of each model was selected after each step. In modeling with the GAA and GP different input combinations, fitness functions, transfer functions and mathematical functions were investigated for obtaining the optimum combination. The results showed B/b, H/B, nf/nc and h/b as input combination, fitness function MSE and transfer function tan-pur is the best combination for GAA model. The best GP model introduced with B/b, (H-h)/h, nf/nc and h/b as input variables, fitness function MAE and as the mathematical function set. Finally, the most appropriate GAA, GP and MS-MLP models were compared to select the best of them in estimating apparent shear stress in compound channels. According to the results, MS-MLP improved with RMSE of 0.3654 over GAA with RMSE of 0.5326 and the GP method with RMSE of 0.6615.
https://www.ije.ir/article_72787_d18957719443d4304e1397250ba53e2c.pdf
2016-09-01
1219
1226
Apparent shear stress
Multi layer perceptron
radial basis function
Genetic Programing
Genetic Algorithm Artificial neural network
decision tree
Symmetric compound channel
Zohreh
Sheikh
y.sheikh2131@gmail.com
1
Civil Engieering, Razi University
AUTHOR
Hossein
Bonakdari
bonakdari@yahoo.com
2
Civil Engieering, Razi University
AUTHOR
ORIGINAL_ARTICLE
Analysis on Components Complexity During Execution of Construction Projects
Development is the fundamental area in enabling India`s economy and urban and provincial structure. Development is a multi-connected structure where all variables are bury connected and multi-centered. All the three limitations time, expense and quality ought to be adjusted in an improved way, so that no segment gets influenced by dismissing those. The goal of this study is to distinguish the managerial variables which will prompt limitations which let-down the development concerning cost, time and quality parts of development from five segments which are critical in execution of development venture. A sum of 51 managerial variables is considered from five components specifically material, labor, equipment, quality control and safety. Data validation is completed for 51 calculated managerial factors. Results revealed that Cronbach coefficient value for all components in three constraints are with range of 0.8-0.9 which is considered as highly reliable with assumed scale. Relative significance is done on these factors. The obtained results reveal that value acceleration of material is 1st most variable with 0.85 RII esteem, which would be a basic element prompting limitation and may let-down the development. Truancy of work with 0.866 RII esteem as far as time limitation, low material quality observing framework with 0.903 regarding quality requirement and afterward relationship examination is finished with variables harmonizing the three imperatives. The result revealed that work efficiency is critical among all components which is associated with 19 different elements above moderate scale. Any need and impact on these elements will demonstrate way on different perspectives which may prompt requirement that let-down the development venture.
https://www.ije.ir/article_72788_2b8f7ffb92f5d7144d27f904c0085028.pdf
2016-09-01
1227
1234
Construction management
Cost constraint
Time constraint
Quality constraint
Correlation
S S BHANU
PRAKASH
bhapra2@gmail.com
1
Civil Engineering, KL UNIVERSITY
AUTHOR
N V ACHUTH
KUMAR
achuthkumar45@gmail.com
2
CONSTRUCTION TECHNOLOGY & MANAGEMENT, KL UNIVERSITY
AUTHOR
Sundara
Pitta
pskumarphd@gmail.com
3
, KL UNIVERSITY
AUTHOR
ORIGINAL_ARTICLE
Sensitivity Analysis of Road Actual Conditions to Evaluate the Optimal Positioning of Geogrid Using Finite Elements and Dynamic Methods
Roads are subjected to vehicle traffics with different loads and velocities. Geogrid reinforcement is of the best methods for road improvement due to the ease of construction, delay in damage development and financial efficiency. This study evaluates pavement response under different loads and velocities, before and after geogrid reinforcement. A finite element software (ABAQUS) is used for numerical modeling and the geogrid position in various depths is investigated. Field results of Pennsylvania are used for validation of the primary model. Results indicated that the positioning of geogrid is associated with the base layer thickness and the ratio of elasticity modulus of asphalt to the base layer. When the base layer thickness is increased, the optimal position of the geogrid will be changed from layers interface to the upper one-third of the base layer. Due to the geogrid impact, when the ratio of elasticity modulus of asphalt to the base layer is approximately equal to 4, the ratio of strains in these two layers becomes equivalent. For higher and lower elasticity modulus ratio values, the optimal position of geogrid is at the base layer bottom and asphalt layer bottom, respectively. Velocity and wheel weight parameters had no impact in this response.
https://www.ije.ir/article_72789_25334209226ea5a57153cff2fdb9fdff.pdf
2016-09-01
1235
1241
geogrids
Flexible pavements
Finite Element Software
Optimal Positioning
Dynamic Responses
gholamali
shafabakhsh
shafabakhsh@semnan.ac.ir
1
civil engineering, semnan university
AUTHOR
mana
motamedi
mana.motamedi@gmail.com
2
civil engineering, semnan university
AUTHOR
ORIGINAL_ARTICLE
A Hybrid Machine Learning Method for Intrusion Detection
Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implementations. In this research work, we present a hybrid approach which is based on the “linear discernment analysis” and the “extreme learning machine” to build a tool for intrusion detection. In the proposed method, the linear discernment analysis is used to reduce the dimensions of data and the extreme learning machine neural network is used for data classification. This idea allowed us to benefit from the advantages of both methods. We implemented the proposed method on a microcomputer with core i5 1.6 GHz processor by using machine learning toolbox. In order to evaluate the performance of the proposed method, we run it on a comprehensive data set concerning intrusion detection. The data set is called KDD, which is a version of the data set DARPA presented by MIT Lincoln Labs. The experimental results were organized in related tables and charts. Analysis of the results show meaningful improvements in intrusion detection. In general, compared to the existing methods, the proposed approach works faster with higher accuracy.
https://www.ije.ir/article_72790_513d9ebed98d40c373a8684d2c36cccb.pdf
2016-09-01
1242
1246
Intrusion Detection
Linear discernment analysis
Extreme learning machine
Hybrid method
Christoph
Meinel
christoph.meinel@hpi.de
1
, Potsdam University
AUTHOR
Mohammad
Ghasemzadeh
m.ghasemzadeh@yazd.ac.ir
2
Computer Engineering, Yazd University
AUTHOR
HamidReza
Hemati
hamidrezahemati@stu.yazd.ac.ir
3
, Yazd University
AUTHOR
ORIGINAL_ARTICLE
Look up Table Based Low Power Analog Circuit Testing
In this paper, a method of low power analog testing is proposed. In spite of having Oscillation Based Built in Self-Test methodology (OBIST), a look up table based (LUT) low power testing approach has been proposed to find out the faulty circuit and also to sort out the particular fault location in the circuit. In this paper an operational amplifier, which is the basic building block in the analog circuit, is designed and is taken for testing purpose. Fault coverage is identified after fault modeling, fault injection and fault simulation. More than 93% fault coverage is achieved and there is a scope of increasing more fault coverage. Since analog testing prefaces the challenge of power dissipation during testing, some power minimization techniques like sleepy stack method and current correlation method have adhered during the testing process. Test power reduction up to 84 % is achieved in this work.
https://www.ije.ir/article_72791_b1393dbe2069cdcc9bc0b6a1e949b92d.pdf
2016-09-01
1247
1256
oscillation
Based Built in Self
Test (OBIST)
Look up TABLE (LUT)
Analog Testing
Operational Amplifier
Fault Coverage
low power
Current Correlator
Laxmana
Maharana
laxmana.maharana331@gmail.com
1
ECE, National Institute of Technology, Agartala
AUTHOR
Trupa
Sarkar
trupa.sarkar@gmail.com
2
ECE, National Institute of technology, Agartala
AUTHOR
Sambhu
Pradhan
sambhu.pradhan@gmail.com
3
ECE, National Institute of technology, Agartala
AUTHOR
ORIGINAL_ARTICLE
Tensile and Physical Properties of Linear Low Density Polyethylene-natural Rubber Composite: Comparison between Size and Filler Types
Linear Low Density Polyethylene-Natural Rubber (LLDPE-NR) composites in the ratio of 70:20 were made with different loadings of nanosilica and micro-scale Palm Oil Fuel Ash (POFA). Linear Low Density Polyethylene grafted with maleic anhydride (LLDPE-g-MAH) of 10 wt% was added as a compatibiliser. The composites were produced by using two-roll mill machine. The tensile properties of the composites were determined by carrying out tensile test. From the test, it was found that the tensile strength of LLDPE-NR decreased with increasing weight percentages of POFA in the composition. Tensile strength of LLDPE-NR increased with increasing nanosilica content of the composition. The water absorption test was done on all samples, and it was found that water absorption of LLDPE-NR nanocomposites decreased with increasing nanosilica content. However, water absorption of LLDPE-NR microcomposites increased with increasing POFA content.
https://www.ije.ir/article_72792_533dade3ccdb3410b044591467b8e298.pdf
2016-09-01
1257
1262
tensile properties
physical properties
Nanocomposite
Linear Low Density Polyethylene
Natural rubber
Yanuar Z.
Arief
yzarief@fke.utm.my
1
Institute of High Voltage & High Current, Universiti Teknologi Malaysia
AUTHOR
Mohamad Zul Hilmey
Makmud
zulhilmey@gmail.com
2
Physics with Electronics, Universiti Malaysia Sabah
AUTHOR
Japar
Sahari
sahari@ums.edu.my
3
Industrial Chemistry, Universiti Malaysia Sabah
AUTHOR
Siti
Junian
sarahjunian@gmail.com
4
Physics with Electronics, Universiti Malaysia Sabah
AUTHOR
Mat Uzir
Wahit
mat.uzir@cheme.utm.my
5
Center for Composites, Institute of Vehicle Syste, Universiti Teknologi Malaysia
AUTHOR
ORIGINAL_ARTICLE
A Self-starting Control Chart for Simultaneous Monitoring of Mean and Variance of Simple Linear Profiles
In many processes in real practice at the start-up stages the process parameters are not known a priori and there are no initial samples or data for executing Phase I monitoring and estimating the process parameters. In addition, the practitioners are interested in using one control chart instead of two or more for monitoring location and variability of processes. In this paper, we consider a simple linear profile in which the relationship between a response variable and one explanatory characterizes the quality of a process. We proposed a self-starting Max-CUSUM control chart based on recursive residuals to monitor mean vector (including intercept and slope) and variability (variance of error term) of a simple linear profile simultaneously from the start-up stages of the process. We developed Max-CUSUM control chart to monitor simple linear profile in Phase II. Then, we compared our proposed control charts with the best one in the literature through simulation studies. The simulation results showed that our proposed control charts have better performance compared to competitive control charts under moderate and large shifts in terms of out-of-control (OC) ARLs. Finally, the application of the proposed self-starting control chart is illustrated through a real case in the leather industry.
https://www.ije.ir/article_72793_cf4a9eabf0b921d6518545099ee43475.pdf
2016-09-01
1263
1272
Max
CUSUM control chart
self
starting
Recursive residuals
Joint monitoring
Simple linear profile
Phase II
Average run length (ARL)
Reza
Ghashghaei
rezagh_ie@yahoo.com
1
Industrial Engineering, Shahed University
AUTHOR
Peyman
Khosravi
p_khosravi70@yahoo.com
2
Industrial Eng, Shahed University
AUTHOR
Amirhossein
Amiri
amiri@shahed.ac.ir
3
Industrial Engineering, Shahed University
AUTHOR
ORIGINAL_ARTICLE
Designing a Reliable Distribution Network with Facility Fortification and Transshipment under Partial and Complete Disruptions
This paper designs a reliability distribution network with limited capacity under partial and complete facility disruptions. To increase the reliability of the distribution network, a new mixed integer linear programing model is developed by considering multiple mitigation strategies including diversification, fortification, and transshipment. The distribution network constitutes of reliable distribution centers are more expensive, always available and not affected by disruption, and unreliable distribution centers. Thus, they might be fortified at any level of reliability. Several numerical examples with sensitivity analyses are conducted to illustrate the usefulness of the proposed model. Results demonstrate that the transshipment strategy is more effective than the other mitigation strategies on distribution network reliability and cost.
https://www.ije.ir/article_72794_3e672a7438f0b4c86441f281f73c1f5a.pdf
2016-09-01
1273
1281
Distribution network design
Mitigation strategies
Disruptions
Navid
Sahebjamnia
n.sahebjamnia@mazust.ac.ir
1
Department of Industrial Engineering, University of science and technology of mazandaran
AUTHOR
Reza
Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
2
Industrial Engineering, University of Tehran
AUTHOR
Jafar
Namdar
j.namdar@ut.ac.ir
3
School of Industrial Engineering, College of Engi, University of Tehran
AUTHOR
Hojat
Rezaei Soufi
h.rezaeisufi@ut.ac.ir
4
School of Industrial Engineering, College of Engi, University of Tehran
AUTHOR
ORIGINAL_ARTICLE
Energy Resources Consumption Performance in Iranian Manufacturing Industries by Using Cost/Revenue Efficiency Model
Industries are one of the main sources of pollution in the world. Besides, the levels of energy resources consumption including water, electricity, and fossil fuel are very different among industries. On the other hand, Iranian government pays a large amount of energy subsidy to manufacturing units. Because of it, the government wants to know which of manufacturing industries are efficient, produce less environmental pollutions, and hence, must be supported. Besides, manufacturing industries are classified into various groups. In this paper, the conventional data envelopment analysis (DEA) model has been extended to multi-group state for evaluating manufacturing systems. The main feature of the proposed model is that it takes into consideration inputs/outputs prices (cost/revenue). In the other words, we propose a linear multi-group cost/revenue efficiency model. The data of 59 Iranian manufacturing industries are grouped under 23 classes to demonstrate the model. The inputs are energy resources such as the amount of fossil fuel, water and electricity consumption as well as a non-energy resources such as the number of employees. The results show that the efficiency scores and energy consumption performance are greatly changed when each industry is evaluated in its own group.
https://www.ije.ir/article_72795_0495e5a7e73f7ef3f12fb519d70fdc44.pdf
2016-09-01
1282
1291
Energy resources consumption
Data Envelopment Analysis
Environmental pollution
Cost/revenue efficiency
Manufacturing Industries
multi
group model
Mustafa
Jahangoshai Rezaee
m.jahangoshai@uut.ac.ir
1
Industrial Engineering, Urmia University of Technology
AUTHOR
Tohid
Ghanbarpour
mrezaei@ut.ac.ir
2
Information Technology Departement, Shahid Montazeri power plant, Isfahan
AUTHOR
ORIGINAL_ARTICLE
Experimental Evaluation of IRWEC1, a Novel Offshore Wave Energy Converter
This paper describes the innovative offshore point-absorber wave energy converter (WEC), IRWEC1, under development by the Hydrodynamics, Acoustics and Marine propulsion Group at Babol Noshirvani University of Technology. Totally enclosed in an outer shell, with no external moving parts, IRWEC1 is completely sealed which make it a robust and trustable system. Important motion for this WEC is the pitch motion, so, a pendulum is designed for transferring this motion to the PTO. In this paper, the WEC is evaluated for a wide range of waves in the wave tank. The wave characteristics are presented by which the system had appropriate pitch motion and acceptable extracted electrical energy.
https://www.ije.ir/article_72796_6ea7ea34b69ce7b535ef30757a190c69.pdf
2016-09-01
1292
1299
Power take
off system
Point absorber
Wave energy converters (WEC)
wave energy
Caspian Sea
Experimental test
Rasoul
Bayani
bayani.am@gmail.com
1
Mechanical Engineering, Babol University of Technology
AUTHOR
Mousa
Farhadi
mfarhadi@nit.ac.ir
2
Mechanical Engineering, Babol University of Technology
AUTHOR
Rouzbeh
Shafaghat
rshafaghat@nit.ac.ir
3
Mechanical Engineering, Babol University of Technology
AUTHOR
Rezvan
Alamian
r.alamian@stu.nit.ac.ir
4
Mechanical engineering, Babol Noshiravani University of Technology
AUTHOR
ORIGINAL_ARTICLE
Optimized Fuzzy Logic for Nonlinear Vibration Control of Aircraft Semi-active Shock Absorber with Input Constraint (TECHNICAL NOTE)
Landing impact and runway unevenness have proximate consequence on performance of landing gear system and conduce to discomfort of passengers and reduction of the pilot’s capability to control aircraft. Finally, vibrations caused by them result in structure fatigue. Fuzzy logic controller is used frequently in different applications because of simplicity in design and implementation. In the present paper, this control approach is performed by minimum error criteria procedure and bees algorithm as the optimization technique for the model of semi-active suspension system that chooses damping performance of shock absorber at touchdown to be the purpose of control on landing gear and its efficiency is evaluated with the competence of passive control. Results of numerical simulation by matlab/simulink software indicate that the force induced to body and the vertical vibration of fuselage have important improvement )60% and 50%( for fuzzy intelligent method optimized by bees algorithm compared to passive approach which lead to increase in quality of landing, easiness of passengers and structure’s fatigue life in various operation conditions.
https://www.ije.ir/article_72797_5bcfc586685e5c0983faed3b10edf369.pdf
2016-09-01
1300
1306
Fuzzy logic intelligent method
Bees optimization algorithm
Minimum error criteria procedure
Aircraft semi
active landing gear
numerical simulation
Behrooz
Attaran
attaranbehrooz@yahoo.com
1
mechanical engineering, shahid chamran university
AUTHOR
Milad
Zarchi
m.zarchi@srttu.edu
2
Mechanical Engineering Department, Shahid Rajaee Teacher Training University
AUTHOR
A.R.
Toloei
toloei@sbu.ac.ir
3
Department of Aerospace Engineering, Shahid Beheshti University
AUTHOR
ORIGINAL_ARTICLE
Prediction and Optimization of Mechanical Properties of St52 in Gas Metal Arc Weld Using Response Surface Methodology and ANOVA
Many researchers have developed algorithms to predict welding parameters. The variety of welding types is broad because the confine mixture of pressure and temperature could be selected. This paper introduces a response surface methodology (RSM) for optimization and prediction of the influence of Ar and CO2 gases and electrical current on tensile strength of St52’s gas metal arc weld (GMAW) line. After doing experiments the optimum levels of input variables for achieving high tensile strength and contribution of parameters have been obtained by RSM and ANOVA; respectively. In this study the maximum error is 0.44%. Thus it can be concluded that, RSM is one of the best methods and can be used to predict the output parameters and save the time and cost of additional experiments.
https://www.ije.ir/article_72798_b10cf20435b303cfef5099e2bbcc2060.pdf
2016-09-01
1307
1313
GMAW
RSM
ANOVA
St52
tensile strength
Gohar
Ranjbari
g.ranjbary@urmia.ac.ir
1
Mechanical Engineering, Urmia University
AUTHOR
Ali
Doniavi
a.doniavi@urmia.ac.ir
2
Mechanical Engineering, Urmia University
AUTHOR
ORIGINAL_ARTICLE
The Design and Realization of a Gait Rehabilitation Training Robot with Body Supporting Mechanism
With the increasing number of people who have problems with their walking, a new type of gait rehabilitation training robot has been put forward and designed. In order to meet the requirements of the gait rehabilitation training, the whole mechanical structure and control system have been designed, and the model machine for gait rehabilitation training robot has been made. Using the human gait analysis system of the INSENCO, a large number of experiments on human bodies have been carried out, and human gait parameters have been measured and recorded. As has been shown in the experiments, the designed robot has achieved the goal of free movement and weight-reducing; the weight-reducing device is flexible in height and pull, which has accomplished the aim of rehabilitation training.
https://www.ije.ir/article_72799_e308cf23a7c5c7adf1c4784cf63a5a99.pdf
2016-09-01
1314
1318
Gait Rehabilitation Training
Weight Supporting Mechanism
Gait Detection Device
Kavin
Zhang
iceitrt@126.com
1
International Center of Scientific Research, International Center of Scientific Research
AUTHOR