Optimal synthesis of four-bar linkage path generation through evolutionary computation

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Published: Aug 14, 2018
Keywords:
Mechanism Synthesis path generation four-bar linkage optimization evolutionary algorithms

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S. Sleesongsom
Department of Mechanical Engineering, Faculty of Engineering, Chiangrai College, Chiangrai City, Thailand
S. Bureerat
Sustainable and Infrastructure Research and Development Center, Department of Mechanical Engineering, Faculty of Engineering, KhonKaen University, KhonKaen City, Thailand

Abstract

This paper presents the optimization of path generating of four-bar linkages using evolution algorithms (EAs). The design problem is assigned to minimize the error between desired and obtained coupler curves. Such mechanism synthesis is sometimes called dimensional analysis, which has the design variables as link lengths and other parameters. In this work, three evolutionary algorithms namely differential evolution (DE), hybrid population-based incremental learning and differential evolution (PBIL-DE) and adaptive differential evolution with optional external archive (JADE) are applied for finding the solutions. The results show that DE and JADE are the best methods for synthesizing the path generating of a four-bar linkage.

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How to Cite
Sleesongsom, S., & Bureerat, S. (2018). Optimal synthesis of four-bar linkage path generation through evolutionary computation. Journal of Research and Applications in Mechanical Engineering, 3(2), 46–53. Retrieved from https://ph01.tci-thaijo.org/index.php/jrame/article/view/140038
Issue
Vol. 3 No. 2 (2015)
Section
RESEARCH ARTICLES

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