@article { author = {Farahi, A and Najafpour, G. D and Ghoreyshi, A}, title = {Composite Multi Wall Carbon Nano Tube Polydimethylsiloxane Membrane Bioreactor for Enhanced Bioethanol Production from Broomcorn Seeds}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {516-523}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Bioethanol,Multi Walled Carbon Nano Tube,Polydimethylsiloxane,Polyethersulfune,Composite Membrane,Broomcorn Seed}, url = {https://www.ije.ir/article_73147.html}, eprint = {https://www.ije.ir/article_73147_41c78db549df58b435392a5065d51653.pdf} } @article { author = {Parvizi Moghadam, R and Shahraki, F and Sadeghi, J}, title = {Online Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {524-532}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Soft sensor,time varying parameter,SRU,Quality estimation,Identification,Data,based modeling}, url = {https://www.ije.ir/article_73148.html}, eprint = {https://www.ije.ir/article_73148_68bbb0869bba26bb07543513f415de7e.pdf} } @article { author = {Harahap, H and Nawansyah, R and Nasution, H and Taslim, T and Iriany, I}, title = {Isolationand Characterization of Nanocrystal from Corncob Waste Using H2SO4 Hydrolysis Method (RESEARCH NOTE)}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {533-537}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Cellulose Nanocrystal,Corncob,Crystallinity Index,Delignification,Hydrolysis}, url = {https://www.ije.ir/article_73149.html}, eprint = {https://www.ije.ir/article_73149_8d66366d95de0f51624f1cc33b740297.pdf} } @article { author = {Rezaiee-Pajand, M and Aftabi Sani, A and Hozhabrossadati, S. M}, title = {Free Vibration of a Generalized Plane Frame}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {538-547}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Differential transform method,Free vibration,Plane Frames,Elastic Supports and Joints}, url = {https://www.ije.ir/article_73150.html}, eprint = {https://www.ije.ir/article_73150_706cc0e217ecfdd8f4a6b541762547b8.pdf} } @article { author = {Javdanian, H}, title = {Behavioral Interference of Vibrating Machines Foundations Constructed on Sandy Soils (RESEARCH NOTE)}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {548-553}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Dynamic Bearing Capacity,Machine Foundation,Sandy Soil,Interference Effect,FLAC}, url = {https://www.ije.ir/article_73151.html}, eprint = {https://www.ije.ir/article_73151_b441d2960512b6ccb3e19341163f4a51.pdf} } @article { author = {Kamarehie, B and Aghaali, E and Mousavi, SA and Hashemi, SY and Jafari, A}, title = {Nitrate Removal from Aqueous Solutions Using Granular Activated Carbon Modified with Iron Nanoparticles (RESEARCH NOTE)}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {554-563}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Nitrate,Activated carbon,Iron nanoparticles,Adsorption}, url = {https://www.ije.ir/article_73152.html}, eprint = {https://www.ije.ir/article_73152_e3c0dbb71b546a8e678307f0cc440d03.pdf} } @article { author = {Abbasi, M and Shayestehkhah, H and Tousi, B}, title = {Application of an Additive Self-tuning Controller for Static Synchronous Series Compensator for Damping of Sub-synchronous Resonance Oscillations}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {564-573}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Static Synchronous Series Compensator,Sub,Synchronous Resonance,self,tuning,Auto Regressive Moving Average Exogenous,Recursive least squares,Pole Shift}, url = {https://www.ije.ir/article_73153.html}, eprint = {https://www.ije.ir/article_73153_7566dbcc28b30ebb8f8d20ed643f2950.pdf} } @article { author = {Chandra Kala, K and Jayakumari, J}, title = {An Efficient Hierarchical Modulation based Orthogonal Frequency Division Multiplexing Transmission Scheme for Digital Video Broadcasting}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {574-579}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Digital Video Broadcasting,Local Content,Global Content,Single Frequency Network,Orthogonal Frequency Division Multiplexing,Hierarchical Modulation,Quatrature Amplitude Modulation,Quadrature Phase Shift Keying}, url = {https://www.ije.ir/article_73154.html}, eprint = {https://www.ije.ir/article_73154_065d2bf4b6813b1890b0475030a40d8f.pdf} } @article { author = {Boutabba, T and Drid, S and Chrifi-Alaoui, L and Benbouzid, M. E}, title = {A New Implementation of Maximum Power Point Tracking Based on Fuzzy Logic Algorithm for Solar Photovoltaic System}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {580-587}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Photovoltaic,DC,DC Converter,Boost,Modelisation,Fuzzy logic}, url = {https://www.ije.ir/article_73155.html}, eprint = {https://www.ije.ir/article_73155_72f1838b729165fb52c5c39011adf806.pdf} } @article { author = {Arab, R and Ghaderi, S.F and Tavakkoli-Moghaddam, R}, title = {Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {588-596}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Inventory,Routing problem,multi,objective optimization,ε,constraint Method,Non,dominated sorting genetic algorithm}, url = {https://www.ije.ir/article_73156.html}, eprint = {https://www.ije.ir/article_73156_7124f4427ba5213028bedc5bb91ee999.pdf} } @article { author = {Rasay, H and Fallahnezhad, M. S and Zaremehrjardi, Y}, title = {Application of Multivariate Control Charts for Condition Based Maintenance}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {597-604}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Condition Monitoring,Condition,Based Maintenance,Statistical process control,Multivariate Control Chart}, url = {https://www.ije.ir/article_73157.html}, eprint = {https://www.ije.ir/article_73157_f24a1d244da0401dce0cc8e94ccab722.pdf} } @article { author = {Benmamoun, Z and Hachimi, H and Amine, A}, title = {Comparison of Inventory Models for Optimal Working Capital; Case of Aeronautics Company}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {605-611}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Inentory Comparison,Inventory management,Economic order quantity,Interval Order Quantity}, url = {https://www.ije.ir/article_73158.html}, eprint = {https://www.ije.ir/article_73158_da7a77fbb8436f368b48b8f58e2eb4d2.pdf} } @article { author = {Hamidieh, A and Arshadi khamseh, A and Naderi, B}, title = {A New Combination of Robust-possibilistic Mathematical Programming for Resilient Supply Chain Network under Disruptions and Uncertainty: A Real Supply Chain (RESEARCH NOTE)}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {612-621}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Supply chain,Possibilistic programming,Disruption,robustness,Uncertainty}, url = {https://www.ije.ir/article_73159.html}, eprint = {https://www.ije.ir/article_73159_341a0c5e9bfe03fd85666fe68dcd190c.pdf} } @article { author = {Agustina, T. E and Rizky, I and Utama, M. E. W and Amal, M. I}, title = {Characterization and Utilization of Zeolite for NPK Slow Release Fertilizer (RESEARCH NOTE)}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {622-628}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {nitrogen,Phosphorus and Potassium,Slow Release Fertilizer,Total Dissolved Solid,Zeolite}, url = {https://www.ije.ir/article_73160.html}, eprint = {https://www.ije.ir/article_73160_f70c19dcec7c7f606ca43f405c16836e.pdf} } @article { author = {Fallahnezhad, M. S and Shojaie-Navokh, M and Zare-Mehrjerdi, Y}, title = {Economic-statistical Design of NP Control Chart with Variable Sample Size and Sampling Interval}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {629-639}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {The Np Control Chart,Economic,Statistical design,Markov chain,Design of experiments,Variable Sampling Schemes}, url = {https://www.ije.ir/article_73161.html}, eprint = {https://www.ije.ir/article_73161_2cadccff35852c887ac57e87d4c3f58b.pdf} } @article { author = {Soolaki, M and Arkat, J and Ahmadizar, F}, title = {Modeling the Trade-off between Manufacturing Cell Design and Supply Chain Design}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {640-647}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {dynamic cellular manufacturing systems,cell formation problem,supply chain design,Genetic Algorithm}, url = {https://www.ije.ir/article_73162.html}, eprint = {https://www.ije.ir/article_73162_7e0661fcd33bef04723bd6045b613cfd.pdf} } @article { author = {Hamidieh, A and Arshadikhamseh, A and Fazli-Khalaf, M}, title = {A Robust Reliable Closed Loop Supply Chain Network Design under Uncertainty: A Case Study in Equipment Training Centers}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {648-658}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Closed loop supply chain,responsiveness,robust optimization,P,robust,Uncertainty,training center}, url = {https://www.ije.ir/article_73163.html}, eprint = {https://www.ije.ir/article_73163_cda0f6c8f9b2ac0865b2815d1f8e5898.pdf} } @article { author = {Lakshumu Naidu, A and Kona, S}, title = {Experimental Study of The Mechanical Properties of Banana Fiber and Groundnut Shell Ash Reinforced Epoxy Hybrid Composite}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {659-665}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Reinforced Polymer Composites,Banana Fibers,Mechanical properties,Groundnut Shell Ash}, url = {https://www.ije.ir/article_73164.html}, eprint = {https://www.ije.ir/article_73164_335e9678b4ff136d4455663cf6311780.pdf} } @article { author = {Safikhani, H and Jamalinasab, M}, title = {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}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {666-672}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Two,element Wings,Morphing Flap,multi,objective optimization,Grouped Method of data Handling,NSGA II,Quadrature Phase Shift Keying}, url = {https://www.ije.ir/article_73165.html}, eprint = {https://www.ije.ir/article_73165_deb2be7ff4152fe2f5b6de17fb9519ee.pdf} } @article { author = {Ghasemiasl, R and Ostadhossein, R and Javadi, M. A and Hoseinzadeh, S}, title = {Blood Flow Simulation in an Aorta with a mild coarctation Using Magnetic Resonance Angiography and Finite Volume Method}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {673-678}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Aortic Coarctation,finite volume method,Magnetic Resonance Angiography,Large Eddy Simulation Model,Windkessel Model}, url = {https://www.ije.ir/article_73166.html}, eprint = {https://www.ije.ir/article_73166_f8fd173b5b7394d4c42bfc63d437f1b2.pdf} } @article { author = {Adriansyah, Y and Zakaria, Z and Muslim, D and Hirnawan, F}, title = {Determining of Geotechnical Domain Based on Joint Density and Fault Orientation at Batu Hijau Mine,West Sumbawa-Indonesia (TECHNICAL NOTE)}, journal = {International Journal of Engineering}, volume = {31}, number = {4}, pages = {679-683}, year = {2018}, publisher = {Materials and Energy Research Center}, issn = {1025-2495}, eissn = {1735-9244}, doi = {}, abstract = {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.}, keywords = {Batu Hijau Mine,Geotechnical domain,Geotechnical Mapping}, url = {https://www.ije.ir/article_73167.html}, eprint = {https://www.ije.ir/article_73167_cc549939848797d00bbdcac3fb38aaec.pdf} }