Multi-objective optimization design of anti-roll torsion bar using improved beluga whale optimization algorithm

PurposeThis 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/approachBased on the finite element approach coupled with the improved beluga whale optimization (IBWO) algorithm...

Full description

Saved in:
Bibliographic Details
Published in:Railway Sciences Vol. 3; no. 1; pp. 32 - 46
Main Authors: Li, Yonghua, Chen, Zhe, Hou, Maorui, Guo, Tao
Format: Journal Article
Language:English
Published: Beijing Emerald Group Publishing Limited 01.02.2024
Emerald Publishing
Subjects:
Accuracy
Anti-roll torsion bar
Chaotic mapping
Design optimization
Design techniques
Differential evolution
Finite element analysis
Genetic algorithms
IBWO
Load
Multi-objective optimization
Optimization algorithms
Yield stress
ISSN:2755-0907, 2755-0915
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:PurposeThis 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/approachBased 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.FindingsThe 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/valueThe study provides a methodological reference for the simulation optimization process of the lateral anti-roll torsion bar.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2755-0907
2755-0915
DOI:10.1108/RS-10-2023-0037