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Research on tire pattern parameters based on multi-objective optimization

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Abstract

The tire pattern structure has a serious influence on automobile performance. In order to improve the tire performance, the strain energy density of tire tread under different working conditions was analyzed. The finite element model of longitudinal groove pattern of automobile tire was established to analyze the strain energy density under different working conditions, and the influence of parameter changes on the strain energy density of tire on dry road and slippery road was analyzed respectively. The multi-objective optimization model was established based on the finite element analysis results, and the function constraint conditions were set. Differential evolution method (DE) and non-dominated sorting genetic optimization method (NSGA-II) are used to design a multi-objective optimization program, which can quickly determine the optimization scheme after the input data. The finite element model was modified according to the optimization scheme and the strain energy density was analyzed. The results show that the performance of the optimized tire is greatly improved. The combination of finite element analysis technology and multi-objective optimization method can effectively reduce a lot of manpower, material resources and financial resources in mechanical product structure optimization.

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Acknowledgments

This work is financially supported by the National Natural Science Foundation of China (No.51775159), the Major Science and Technology Project of Anhui Province (No.20222 96906020012) and the Science and Technology Project of Tongling City (No.20200101005).

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Authors and Affiliations

  1. School of Mechanical Engineering, Hefei University of Technology, Hefei, 230009, China

    Hongling Li, Yude Dong & Jinbiao Wang

  2. Anhui Jianghuai Automobile Group Corp., Ltd., Hefei, 230009, China

    Tao Wang

Authors
  1. Hongling Li
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  2. Yude Dong
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  3. Tao Wang
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  4. Jinbiao Wang
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Corresponding author

Correspondence to Yude Dong.

Additional information

Hongling Li, born in 1983, is currently a doctor degree candidate at School of Mechanical Engineering, Hefei University of Technology, China. Her main research interest is mechanical design and theory.

Yude Dong, born in 1966, is currently a Professor at Hefei University of Technology, China. He received his Ph.D. degree from Zhejiang University, China, in 2000. His research interests include computer aided design, software engineering and enterprise information.

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Li, H., Dong, Y., Wang, T. et al. Research on tire pattern parameters based on multi-objective optimization. J Mech Sci Technol 38, 775–786 (2024). https://doi.org/10.1007/s12206-023-0932-5

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  • DOI: https://doi.org/10.1007/s12206-023-0932-5

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