Multi-Objective Tabu Search Algorithm to Minimize Weight and Improve Formability of Al3105-St14 Bi-Layer Sheet

Journal of Solid Mechanics

مقاله 6، دوره 12، شماره 2، شهریور 2020، صفحه 334-342   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.22034/jsm.2019.1867430.1433

نویسندگان

M Ehsanifar^{* 1}؛ H Momeni¹؛ N Hamta²؛ A. R Nezamabadi³

¹Department of Industrial Engineering, Arak Branch, Islamic Azad University, Arak, Iran

²Department of Mechanical Engineering, Arak University of Technology, Arak, Iran

³Department of Mechanical Engineering, Arak Branch, Islamic Azad University, Arak, Iran

چکیده

Nowadays, with extending applications of bi-layer metallic sheets in different industrial sectors, accurate specification of each layer is very prominent to achieve desired properties. In order to predict behavior of sheets under different forming modes and determining rupture limit and necking, the concept of Forming Limit Diagram (FLD) is used. Optimization problem with objective functions and important parameters aims to find optimal thickness for each of Al3105-St14 bi-layer metallic sheet contributors. Optimized point is achieved where formability of the sheet approaches to maximum extent and its weight to minimum extent. In this paper, multi-objective Tabu search algorithm is employed to optimize the considered problem. Finally, derived Pareto front using Tabu search algorithm is presented and results are compared with the solutions obtained from genetic algorithm. Comparison revealed that Tabu search algorithm provides better results than genetic algorithm in terms of Mean Ideal Distance, Spacing, non-uniformity of Pareto front and CPU time.

کلیدواژه‌ها

Bi-layer metallic sheet؛ Forming Limit Diagram (FLD)؛ Pareto front؛ Tabu search algorithm

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