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Teimouri, Abbas,Chermahini, Alireza Najafi,Narimani, M. Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.5
A simple highly versatile and efficient method has been developed for the three-component coupling of aldehydes, amines and alkynes to prepare propargylamines, in the presence of a catalytic amount of $BiCl_3$. The advantages of methods are high yield, mild reaction conditions, no environmental pollution and easy work up procedure.
Teimoury, Ebrahim,Amiri, Seyed Omid Hashemi,Ketabchi, Farbod Korean Institute of Industrial Engineers 2017 Industrial Engineeering & Management Systems Vol.16 No.4
Vehicle routing, location and supplier selection problems are the most practical and challenging problems of the supply chain management. The particular attention to these problems is due to their high practicality in real world and the difficulty of solving. Therefore, the present paper attempts to offer a combined model of vehicle routing, location and supplier selection problems with more compatibility with the real-world problems. Moreover, the proposed model will attempt to reduce the fuel consumption rate (FCR) of vehicles and pollutant emissions simultaneously. Because the problem is NP-hard, meta-heuristic algorithms including simulated annealing (SA), Tabu search algorithm (TS), bat algorithm (BA) and variable neighborhood search algorithm based on simulated annealing (VNS-SA) are used for solving the large dimensions of the problem. For smaller dimensions of the problem, several numerical examples are generated and solved by GAMS Software and meta-heuristic algorithms of SA, TS, BA, and VNS-SA. Then, the results are compared for verification of the solution methods' efficiency. In the rest of the paper, a real example is offered as an example of real-world problems and solved by metaheuristic algorithms. More clearly, the core problem consists of assigning producers to distribution centers, vehicle routing and service of distribution centers to clients in a supply chain of natural honey.
Multi-objective BESO topology optimization for stiffness and frequency of continuum structures
Mohsen Teimouri,Masoud Asgari 국제구조공학회 2019 Structural Engineering and Mechanics, An Int'l Jou Vol.72 No.2
Topology optimization of structures seeking the best distribution of mass in a design space to improve the structural performance and reduce the weight of a structure is one of the most comprehensive issues in the field of structural optimization. In addition to structures stiffness as the most common objective function, frequency optimization is of great importance in variety of applications too. In this paper, an efficient multi-objective Bi-directional Evolutionary Structural Optimization (BESO) method is developed for topology optimization of frequency and stiffness in continuum structures simultaneously. A software package including a Matlab code and Abaqus FE solver has been created for the numerical implementation of multi-objective BESO utilizing the weighted function method. At the same time, by considering the weaknesses of the optimized structure in single-objective optimizations for stiffness or frequency problems, slight modifications have been done on the numerical algorithm of developed multi-objective BESO in order to overcome challenges due to artificial localized modes, checker boarding and geometrical symmetry constraint during the progressive iterations of optimization. Numerical results show that the proposed Multiobjective BESO method is efficient and optimal solutions can be obtained for continuum structures based on an existent finite element model of the structures.
Ebrahim Teimoury,Seyed Omid Hashemi Amiri,Farbod Ketabchi 대한산업공학회 2017 Industrial Engineeering & Management Systems Vol.16 No.4
Vehicle routing, location and supplier selection problems are the most practical and challenging problems of the supply chain management. The particular attention to these problems is due to their high practicality in real world and the difficulty of solving. Therefore, the present paper attempts to offer a combined model of vehicle routing, location and supplier selection problems with more compatibility with the real-world problems. Moreover, the proposed model will attempt to reduce the fuel consumption rate (FCR) of vehicles and pollutant emissions simultaneously. Because the problem is NP-hard, meta-heuristic algorithms including simulated annealing (SA), Tabu search algorithm (TS), bat algorithm (BA) and variable neighborhood search algorithm based on simulated annealing (VNS-SA) are used for solving the large dimensions of the problem. For smaller dimensions of the problem, several numerical examples are generated and solved by GAMS Software and meta-heuristic algorithms of SA, TS, BA, and VNS-SA. Then, the results are compared for verification of the solution methods’ efficiency. In the rest of the paper, a real example is offered as an example of real-world problems and solved by metaheuristic algorithms. More clearly, the core problem consists of assigning producers to distribution centers, vehicle routing and service of distribution centers to clients in a supply chain of natural honey.
Abbas Teimouri,Ali Reza Najafi Chermahini,M. Narimani 대한화학회 2012 Bulletin of the Korean Chemical Society Vol.33 No.5
A simple highly versatile and efficient method has been developed for the three-component coupling of aldehydes, amines and alkynes to prepare propargylamines, in the presence of a catalytic amount of BiCl3. The advantages of methods are high yield, mild reaction conditions, no environmental pollution and easy work up procedure.
Reza Teimouri,Hamid Baseri 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.2
In this work, two models of feed forward back-propagation neural network (FFBP-NN) and adaptive neuro-fuzzy inference system (ANFIS) have been developed to predict the performance of magnetic abrasive finishing process, based on experimental data of literature [7]. Input parameters of process are electromagnet's voltage, mesh number of abrasive particles, poles rotational speed and weight percent of abrasive particles, and also the output is percentage of surface roughness variation. In order to select the best model, a comparison between developed models has been done based on their mean absolute error (MAE) and root mean square error (RMSE). Moreover, optimization methods based on simulated annealing (SA) and particle swarm optimization (PSO) algorithms were used to maximize the percent of surface roughness variation and select the optimal process parameters. Results indicated that the models based on artificial intelligence predict much more precise values with respect to predictive regression model developed in main literature [7]. Also, the ANFIS model had a lowest value of MAE and RMSE with respect to others. So it was used as an objective function to maximize the surface roughness variation by using SA and PSO. Comparison between the obtained optimal solutions and analysis of results in main literature indicated that SA and PSO could find the optimal answers logically and precisely.
Abolfazl Teimouri,Hossein Esmaeili,Rauf Foroutan,Bahman Ramavandi 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.2
The first application of calcined Cardita bicolor oyster shell (CCBS) for Hg(II) and As(III) adsorption from synthetic and real wastewaters was tested. The main elements in CCBS structure were carbon, oxygen, magnesium, phosphor, and calcium. Effects of different parameters like initial pH, contact time, temperature, and CCBS dosage were assessed. The results showed that the maximum recovery of Hg(II) and As(III) adsorption was determined as C0=10mg/L, t=80 min, T=25 oC, CCBS dosage=5 g/L, and pH=6 (for mercury ion) and 7 (for arsenic ion). In these conditions, 95.72% Hg(II) and 96.88% As(III) were removed from aqueous solution. The correlation coefficient (R2) values for both adsorbates were obtained >0.98 and >0.96 for Langmuir and Freundlich isotherm models, respectively. Pseudo-second-order kinetic model was more capable to describe kinetic behavior of adsorption process of both metal ions in comparison with pseudo-first-order model. The half life (t1/2) value for Hg(II) and As(III) with initial concentration of 10mg/L was 4.032 and 4.957 min, respectively. Moreover, thermodynamic parameters of enthalpy (ΔHo), entropy (ΔSo), and Gibbs free energy (ΔGo) were investigated. Two real wastewaters obtained from a leather factory and a landfill leachate were successfully treated using CCBS. The results confirmed that adsorption process of metals ions was exothermic and spontaneous.