Behbahan Khatam Alanbia University of Technology

Behbahān, Iran

Behbahan Khatam Alanbia University of Technology

Behbahān, Iran
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Nematdoost Haghi B.,Behbahan Khatam Alanbia University of Technology | Banaee M.,Behbahan Khatam Alanbia University of Technology
International Journal of Environmental Science and Technology | Year: 2017

In this study, we investigated the possible effects of paraquat and micro-plastics on blood biochemical parameters in common carp (Cyprinus carpio). We exposed C. carpio for 21 days to sublethal concentrations of paraquat (0.2 and 0.4 mg L−1) and micro-plastics (1 and 2 mg L−1), alone or in combination. Blood biochemical analysis indicated that exposure to 0.4 mg L−1 paraquat and mixture of paraquat and micro-plastics was followed by an increase in aspartate aminotransferase (AST), alkaline phosphatase (ALP), and creatine phosphokinase (CPK) activities and glucose levels. The activity of ALP and CPK showed a significant increase in fish treated with 2 mg L−1 micro-plastics. No significant changes were observed in glucose level, AST, ALT, and LDH activities in fish exposed to micro-plastics. Exposure to paraquat and/or micro-plastics resulted in a significant decrease in total protein, globulin, cholesterol, and triglyceride levels and γ-glutamyl transferase activity. When fish were exposed to paraquat or paraquat and micro-plastics, alanine aminotransferase (ALT) and lactate dehydrogenase (LDH) activities increased significantly compared to the control group. Treating fishes with a mixture of paraquat and 2 mg L−1 micro-plastics caused a significant increase in albumin levels. However, a significant decrease in the albumin level was observed after exposure to paraquat or micro-plastics. Creatinine levels increased after exposure to paraquat and/or micro-plastics. The results indicate that increased doses of micro-plastics in water significantly increased toxic effects of paraquat in fish. Finally, these data support the hypothesis that changes in blood biochemical parameters were induced by exposure to paraquat and/or micro-plastics. © 2016, Islamic Azad University (IAU).

Zirkohi M.M.,Behbahan Khatam Alanbia University of Technology | Fateh M.M.,Shahrood University of Technology
JVC/Journal of Vibration and Control | Year: 2017

This paper presents a novel decentralized tracking control system of electrically driven flexible-joint robots by adaptive type-2 fuzzy estimation and compensation of uncertainties. Owing to using voltage control strategy, the proposed control approach has important advantages over the torque control approaches in terms of being free from manipulator dynamics, computationally simple and decoupled. The design includes two interior loops: the inner loop controls the motor position while the outer loop controls the joint angle of the robot. An adaptive proportional-integral-derivative controller governs the outer loop, whereas a robust nonlinear controller supported by estimation of uncertainty is employed for the inner loop. More specifically, the main contribution of the paper arises from this fact that the proposed control method uses the interval Type-2 Fuzzy Logic systems for estimation of uncertainty. This is the main difference between this paper and those published in literature. One advantage of the proposed approach is that it uses available feedbacks as an important advantage from a practical point of view. The method is verified by stability analysis and its effectiveness is demonstrated by simulations. The direct method of Lyapunov is utilized for stability analysis of the proposed approach. The case of study is the tracking control of a three-joint articulated flexible-joint robot driven by permanent magnet DC motors. Simulation results show the superior robustness of the type-2 fuzzy system to Type-1 fuzzy system. © The Author(s) 2015.

Ahmadianfar I.,Behbahan Khatam Alanbia University of Technology | Samadi-Koucheksaraee A.,Behbahan Khatam Alanbia University of Technology | Bozorg-Haddad O.,University of Tehran
Water Resources Management | Year: 2017

Deriving the optimal policies of hydropower multi-reservoir systems is a nonlinear and high-dimensional problem which makes it difficult to achieve the global or near global optimal solution. In order to optimally solve the problem effectively, development of optimization methods with the purpose of optimizing reservoir operation is indispensable as well as inevitable. This paper introduces an enhanced differential evolution (EDE) algorithm to enhance the exploration and exploitation abilities of the original differential evolution (DE) algorithm. The EDE algorithm is first applied to minimize two benchmark functions (Ackley and Shifted Schwefel). In addition, a real world two-reservoir hydropower optimization problem and a large scale benchmark problem, namely ten-reservoir problem, were considered to indicate the effectiveness of the EDE. The performance of the EDE was compared with the original DE to solve the three optimization problems. The results demonstrate that the EDE would have a powerful global ability and faster convergence than the original DE to solve the two benchmark functions. In the 10-reservoir optimization problem, the EDE proved to be much more functional to reach optimal or near optimal solution and to be effective in terms of convergence rate, standard deviation, the best, average and worst values of objective function than the original DE. Also, In the case of two-reservoir system, the best values of the objective function obtained 93.86 and 101.09 for EDE and DE respectively. Based on the results, it can be stated that the most important reason to improve the performance of the EDE algorithm is the promotion of local and global search abilities of the DE algorithm using the number of novel operators. Also, the results of these three problems corroborated the superior performance, the high efficiency and robustness of the EDE to optimize complex and large scale multi-reservoir operation problems. © 2017 Springer Science+Business Media B.V.

Heidari A.,Zayandab Consulting Engineers Company | Gharehbaghi S.,Behbahan Khatam Alanbia University of Technology
Earthquake Engineering and Structural Dynamics | Year: 2015

Nowadays, one of the most important methodologies to reduce the destructive effects of severe earthquakes on structures is the use of energy dissipation devices (EDDs). In this paper, a new configuration of special truss moment frame (STMF) systems including EDDs is theoretically proposed to improve their seismic performance. Such an improvement is achieved by provision of bending performance in these frames. For this purpose, the devices called buckling resistant braces (BRBs) are located at the side of beam-column connections as the top and bottom members of truss-girders. In this context, a five-bay nine-story STMF is designed using the damage and energy concepts recently proposed in the literature. To show the effectiveness of the proposed system with respect to the similar recently presented STMFs, this frame is then subjected to non-linear static and non-linear time-history analyses under several ground motion records in order to survey on its seismic performance. Subsequently, such engineering demand parameters as lateral displacement, inter-story drift ratio, overturning moment and shearing forces of stories, residual deformations and maximum time-history displacement at roof level, as well as the process of plastic hinges formation are investigated. The results show the effectiveness of proposed configuration of EDDs used to improve the seismic safety of STMFs. © 2014 John Wiley & Sons, Ltd.

Albadi J.,Behbahan Khatam Alanbia University of Technology | Shiran J.A.,Guilan University | Mansournezhad A.,Islamic Azad University at Gachsaran
Journal of Chemical Sciences | Year: 2014

A CuO-CeO2 nanocomposite in the presence of amberlite-supported azide has been used for the click synthesis of 1,4-disubstituted-1,2,3-triazoles in good yields. This catalyst can be reused several times without any significant decrease in the catalytic activity © Indian Academy of Sciences.

Safdarian R.,Behbahan Khatam Alanbia University of Technology
Mechanics Research Communications | Year: 2015

Abstract The Marciniak and Kuczynski (M-K) model for necking prediction in sheet metal forming was based on the in-plane forming. Bending which was resulted from out-of-plane forming was not considered in the M-K model. Whereas most of the sheet metal forming processes and also standard test of hemispherical punch for forming limit diagram are out-of-plane forming, it is important to consider bending effect in the M-K model. Therefore, in this study bending strain is added to stretching strain of M-K model and a new model is presented for forming limit diagram (FLD) prediction. This modified M-K (MM-K) model is written in the python programming language and it is used as a post-processing criterion for FLD prediction in the commercial software Abaqus. The MM-K model was used to predict FLD and weld line movement in the tailor welded blank forming. It was found that the predicted results by MM-K model are in a good agreement with experimental data. © 2015 Elsevier Ltd.

Safdarian R.,Behbahan Khatam Alanbia University of Technology
Ironmaking and Steelmaking | Year: 2016

In the present study, the influences of strength ratio (SR) are studied on the formability and forming limit diagram (FLD) of tailor-welded blanks (TWBs). AISI 340, St 12 and St 14 steel sheets with equal thickness of 1 mm were used as different kinds of steel to make TWB with different SR. TWBs were obtained by CO2 laser welding of different steel sheets. Limit strength ratio (LSR) is introduced as a new useful factor to predict the FLD of TWB with different SR. Results of this research show that with increasing of difference of TWB’s SR and LSR, formability and the level of FLD will decrease. By SR increasing, limit dome height decreases and some defects such as weld line movement increase. The experimental findings show that the SR of TWB can effect on the position of fracture in the TWB products. © 2016 Institute of Materials, Minerals and Mining

Zirkohi M.M.,Behbahan Khatam Alanbia University of Technology | Lin T.-C.,Feng Chia University
Nonlinear Dynamics | Year: 2015

This paper presents a novel interval type-2 fuzzy-neural network indirect adaptive sliding mode control (SMC) approach (T2FNNAS) for a suspension system including actuator dynamics. It is equipped with a novel moving sliding surface in which the slope and intercept of sliding surface are simultaneity adjusted by adaptive interval T2FNN to improve controller robustness against system uncertainties and unknown disturbances. As a result, the drawbacks of the conventional SMC, such as chattering effect and a required priori knowledge of the bounds of uncertainties, are removed. Based on the Lyapunov synthesis approach, the free parameters of the adaptive FNN are tuned on-line. One advantage of the proposed approach is that, by incorporating the Lyapunov design approach and SMC method into the adaptive fuzzy-neural control scheme to derive the control law, the proposed approach not only assures closed-loop stability but also achieves a good performance for the overall system. Another advantage of the proposed method is that to relax the requirement for the bound of approximation error, and an estimation mechanism is also employed to observe the bound of it real time. Design of the control system consists of two interior loops. The inner loop is a force control of the hydraulic actuator, while the outer loop is position controller that use T2FNNAS. Finally, a comparison between the proposed approach and a robust model reference adaptive control approach is provided. Simulation results confirm that the proposed approach effectively improves both the passenger comfort and the ride quality of the car. © 2014, Springer Science+Business Media Dordrecht.

Safdarian R.,Behbahan Khatam Alanbia University of Technology | Moslemi Naeini H.,Tarbiat Modares University
Thin-Walled Structures | Year: 2015

Cold roll forming is one of the complex forming processes which quality of products is highly dependent on the process parameters. In this study the effect of some roll forming parameters of channel section are investigated on the edge longitudinal strain and bow defect of products. These parameters are bending angle increment, strip thickness, flange width of section, web width of section, friction in the roll and strip contact, speed of roll, and distance between the roll stands. It is important to consider these parameters for roll forming process design. Longitudinal bow is one of the main defects in the cold roll forming products which is affected by the bending angle increment. Experimental and numerical results of this study show that bow defect increase with the bending angle increasing. Results of present study show that peak of longitudinal strain in the edge of channel section increases with the bending angle increment and strip thickness increase, but decreases with the flange width, web width and distance between the roll stands increasing. Results show that friction in the roll-strip contact and speed of roll stand does not have any effect on the edge longitudinal strain. © 2015 Elsevier Ltd. All rights reserved.

Zirkohi M.M.,Behbahan Khatam Alanbia University of Technology
Open Engineering | Year: 2015

The purpose of this paper is to improve theVelocity Update Relaxation Particle Swarm Optimization algorithm (VURPSO). The improved algorithm is called Adaptive VURPSO (AVURPSO) algorithm. Then, an optimal design of a Proportional-Integral-Derivative (PID) controller is obtained using the AVURPSO algorithm. An adaptive momentum factor is used to regulate a trade-off between the global and the local exploration abilities in the proposed algorithm. This operation helps the system to reach the optimal solution quickly and saves the computation time. Comparisons on the optimal PID controller design confirm the superiority of AVURPSO algorithm to the optimization algorithms mentioned in this paper namely the VURPSO algorithm, the Ant Colony algorithm, and the conventional approach. Comparisons on the speed of convergence confirm that the proposed algorithm hasa faster convergence in a less computation time to yield a global optimum value. The proposed AVURPSO can be used in the diverse areas of optimization problems such as industrial planning, resource allocation, scheduling, decision making, pattern recognition and machine learning. The proposed AVURPSO algorithm is efficiently used to design an optimal PID controller. © 2015 Majid Moradi Zirkohi.

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