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Multi-objective optimization design of anti-roll torsion bar using improved beluga whale optimization algorithm
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Yonghua Li, Zhe Chen, Maorui Hou, Tao Guo
Railway Sciences | 2024, 3(1) : 32 - 46
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Railway Sciences | 2024, 3(1): 32-46
• Research paper •
Multi-objective optimization design of anti-roll torsion bar using improved beluga whale optimization algorithm
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Yonghua Li, Zhe Chen, Maorui Hou, Tao Guo
Affiliations
  • School of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, China
  • Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
  • CRCC Tangshan Railway Vehicles Co Ltd., CRRC Tangshan Co Ltd, Tangshan, China
Published: 2024-02-10 doi: 10.1108/RS-10-2023-0037
Outline
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Purpose

This study aims to reduce the redundant weight of the anti-roll torsion bar brought by the traditional empirical design and improving its strength and stiffness.

Design/methodology/approach

Based on the finite element approach coupled with the improved beluga whale optimization (IBWO) algorithm, a collaborative optimization method is suggested to optimize the design of the anti-roll torsion bar structure and weight. The dimensions and material properties of the torsion bar were defined as random variables, and the torsion bar's mass and strength were investigated using finite elements. Then, chaotic mapping and differential evolution (DE) operators are introduced to improve the beluga whale optimization (BWO) algorithm and run case studies.

Findings

The findings demonstrate that the IBWO has superior solution set distribution uniformity, convergence speed, solution correctness and stability than the BWO. The IBWO algorithm is used to optimize the anti-roll torsion bar design. The error between the optimization and finite element simulation results was less than 1%. The weight of the optimized anti-roll torsion bar was lessened by 4%, the maximum stress was reduced by 35% and the stiffness was increased by 1.9%.

Originality/value

The study provides a methodological reference for the simulation optimization process of the lateral anti-roll torsion bar.

Anti-roll torsion bar  /  Multi-objective optimization  /  IBWO  /  Chaotic mapping  /  Differential evolution
Yonghua Li, Zhe Chen, Maorui Hou, Tao Guo. Multi-objective optimization design of anti-roll torsion bar using improved beluga whale optimization algorithm[J]. Railway Sciences, 2024 , 3 (1) : 32 -46 . DOI: 10.1108/RS-10-2023-0037
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Funding
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  • the National Natural Science Foundation of China(51875073)
  • China RAILWAY(K2021J042)
Appendix
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Year 2024 volume 3 Issue 1
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Article Info
doi: 10.1108/RS-10-2023-0037
  • Receive Date：2023-10-12
  • Online Date：2026-06-11
  • Published：2024-02-10
Article Data
Affiliations
History
  • Received：2023-10-12
  • Revised：2023-11-09
  • Accepted：2023-11-10
Funding
the National Natural Science Foundation of China(51875073)
China RAILWAY(K2021J042)
Affiliations
    School of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, China
    Railway Science and Technology Research and Development Center, China Academy of Railway Sciences Corporation Limited, Beijing, China
    CRCC Tangshan Railway Vehicles Co Ltd., CRRC Tangshan Co Ltd, Tangshan, China

Corresponding:

Yonghua Li can be contacted at:
References
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小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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