Abstract
The Lévy flight distribution optimization algorithm is a recently developed meta-heuristic. In this study, the Lévy flight distribution optimization algorithm and the Taguchi method are hybridized to solve the shape optimization problem, which is the final step in developing optimum structural components. The new method is termed the hybrid Lévy flight distribution and Taguchi (HLFD-T) algorithm. Geometric dimensions are used as design variables in the optimization, and the problem is aimed at mass minimization. The constraint in the problem is the maximum stress value. The well-known Kriging meta-modeling approach and a specifically developed hybrid approach have been coupled in this paper to find the component’s optimal geometry. The results show that the proposed hybrid algorithm (HLFD-T) has more robust features than the ant lion algorithm, the whale algorithm, and the Lévy flight distribution optimization algorithm for obtaining an optimal component geometry.
About the authors
Mustafa Yıldız received his Bachelors degree in Mechanical Engineering from KSU, Turkey, in 2019. He is a Msc student in the Department of Mechanical engineering, Bursa Uludağ University. He has been working as an FEA engineer at Isringhausen-Aunde Teknik, Bursa Turkey. His research interests are the finite element analysis, shape and topology optimization of vehicle seat components.
Natee Panagant received his B.Eng. in Mechanical Engineering from Chulalongkorn University, Bangkok, Thailand, M.Eng. and Ph.D. in Mechanical Engineering from Khon Kaen University, Khon Kaen, Thailand. Currently, he is a Lecturer at the Department of Mechanical Engineering, Khon Kaen University. His research interests include multidisciplinary design optimization, evolutionary computation and finite element analysis.
Dr. Nantiwat Pholdee received his B.Eng. and Ph.D. in Mechanical Engineering from Khon Kaen University, Khon Kaen, Thailand, in 2008 and 2013, respectively. Currently, he is a Lecturer at the Department of Mechanical Engineering, Khon Kaen University. His research interests include multidisciplinary design optimization, evolutionary computation, aircraft finite-element analysis, robot path planning optimization, and flight dynamics and control.
Dr.Sujin Bureerat received his BEng degree in Mechanical Engineering from Khon Kaen University, Khon Kaen, Thailand, in 1992, and his PhD degree in Engineering from Manchester University, Manchester, UK, in 2001. Currently, he is a Professor in the Department of Mechanical Engineering, Khon Kaen University. His research interests include multidisciplinary design optimization, evolutionary computation, aircraft design, finite-element analysis, agricultural machinery, mechanism synthesis, and mechanical vibration.
Dr. Sadiq M. Sait received his Bachelor’s degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master’s and Ph.D. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia. He is a Senior Member of the IEEE. In 1981, he received the Best Electronic Engineer Award from the Indian Institute of Electrical Engineers, Bengaluru.
Dr. Ali Rıza Yıldız is a Professor in the Department of Automotive Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of automobile components, lightweight design, composite materials, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and sheet metal forming. He has been serving as an Associate Editor for the Journal of Expert Systems, Wiley.
Acknowledgment
The authors gratefully acknowledge the support of Bursa Uludağ University, Khon Kaen University, Khon Kaen, and King Fahd University of Petroleum & Minerals.
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