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Optimal design of differential mount using nature-inspired optimization methods

  • Emre İsa Albak

    Dr. Emre İsa Albak is a lecturer in the Hybrid and Electric Vehicle Technology Programme at Bursa Uludag University, Bursa,Turkey. He received his Ph.D. degree in Automotive Engineering from Bursa Uludag University, Turkey, in 2020. His research interests include vehicle design, automotive materials, finite element method, optimum design and optimization.

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    , Erol Solmaz

    Dr. Erol Solmaz is an Assistant Professor at Bursa Uludag University, Bursa, Turkey. He received his BSc degree in Mechanical Engineering at Bursa Uludag University in 1988 and his MSc degree in Mechanical Engineering in 1990 at the same university. He joined the doctoral program in the Mechanical Engineering Department in 1992 and completed his PhD degree in 2000. His principal research areas are vehicle design, power transmission systems, computer aided design, machine elements and numerical analysis.

    and Ferruh Öztürk

    Dr. Ferruh Öztürk is a Professor in the Automotive Engineering Department at Bursa Uludag University, Bursa, Turkey. He received his PhD in Mechanical and Manufacturing Systems Engineering from Bradford University, UK. Before joining Bursa Uludag University, he worked at the TOFAŞ-FIAT automotive factory in Bursa, Turkey. His research interests include vehicle design and dynamics, computer aided design and optimization, as well as artificial intelligence.

From the journal Materials Testing

Abstract

Structural performance and lightweight design are a significant challenge in the automotive industry. Optimization methods are essential tools to overcome this challenge. Recently, nature-inspired optimization methods have been widely used to find optimum design variables for the weight reduction process. The objective of this study is to investigate the best differential mount design using nature-based optimum design techniques for weight reduction. The performances of the nature-based algorithms are tested using convergence speed, solution quality, and robustness to find the best design outlines. In order to examine the structural performance of the differential mount, static analyses are performed using the finite element method. In the first step of the optimization study, a sampling space is generated by the Latin hypercube sampling method. Then the radial basis function metamodeling technique is used to create the surrogate models. Finally, differential mount optimization is performed by using genetic algorithms (GA), particle swarm optimization (PSO), grey wolf optimizer (GWO), moth-flame optimization (MFO), ant lion optimizer (ALO) and dragonfly algorithm (DA), and the results are compared. All methods except PSO gave good and close results. Considering solution quality, robustness and convergence speed data, the best optimization methods were found to be MFO and ALO. As a result of the optimization, the differential mount weight is reduced by 14.6 wt.-% compared to the initial design.


Emre İsa Albak Hybrid and Electric Vehicle Technology Vocational School of Gemlik Asım Kocabıyık Bursa Uludağ University 16600, Bursa, Turkey

About the authors

Dr. Emre İsa Albak

Dr. Emre İsa Albak is a lecturer in the Hybrid and Electric Vehicle Technology Programme at Bursa Uludag University, Bursa,Turkey. He received his Ph.D. degree in Automotive Engineering from Bursa Uludag University, Turkey, in 2020. His research interests include vehicle design, automotive materials, finite element method, optimum design and optimization.

Dr. Erol Solmaz

Dr. Erol Solmaz is an Assistant Professor at Bursa Uludag University, Bursa, Turkey. He received his BSc degree in Mechanical Engineering at Bursa Uludag University in 1988 and his MSc degree in Mechanical Engineering in 1990 at the same university. He joined the doctoral program in the Mechanical Engineering Department in 1992 and completed his PhD degree in 2000. His principal research areas are vehicle design, power transmission systems, computer aided design, machine elements and numerical analysis.

Dr. Ferruh Öztürk

Dr. Ferruh Öztürk is a Professor in the Automotive Engineering Department at Bursa Uludag University, Bursa, Turkey. He received his PhD in Mechanical and Manufacturing Systems Engineering from Bradford University, UK. Before joining Bursa Uludag University, he worked at the TOFAŞ-FIAT automotive factory in Bursa, Turkey. His research interests include vehicle design and dynamics, computer aided design and optimization, as well as artificial intelligence.

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Published Online: 2021-08-18
Published in Print: 2021-08-31

© 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany

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