Optimised design of cross-shaft parameters based on response surface optimisation model with MOGA

被引：0
|
作者：
Xiong S. [1 ,2 ]
Xie Y. [1 ,3 ]
Zou C. [4 ]
Mao Y. [1 ,2 ]
Cao Y. [5 ]
机构：
[1] Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Hubei, Wuhan
[2] Research Centre for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Hubei, Wuhan
[3] Precision Manufacturing Research Institute, Wuhan University of Science and Technology, Hubei, Wuhan
[4] Hubei University of Automotive Technology, Hubei, Shiyan
[5] Technology Research and Development, Hubei Jingmen Wusan Machinery Equipment Manufacturing Co., Ltd., Jingmen, Hubei
来源：
International Journal of Wireless and Mobile Computing | 2024年 / 26卷 / 02期
基金：
中国国家自然科学基金;
关键词：
cross-shaft; Kriging interpolation; MOGA; multi-objective optimisation;
D O I：
10.1504/IJWMC.2024.137165
中图分类号：
学科分类号：
摘要：
Cross-shaft is the core component of the cross-type universal coupling and has a vital transmission function. This paper proposes Sparse Grid and the Kriging interpolation to construct a response surface model to solve the problem of long design cycles, low reliability and high susceptibility to cross-shaft fatigue deformation. The critical dimensions of the cross-shaft are used as design variables, and the maximum equivalent force and deformation are reduced as the optimisation objective. Then experimental points are obtained by Sparse Grid Initialisation and then the response surface model is obtained with high accuracy by Kriging interpolation, and finally, the optimised design of the cross-shaft is completed using MOGA in this paper. Compared with the original structural solution, the maximum deformation of the cross-shaft is reduced by 0.4717 mm (22.35%), the maximum equivalent force is reduced by 130.35 Mpa (17.21%) and the mass increased by only 4.17%. © 2024 Inderscience Enterprises Ltd.
引用
收藏
页码：198 / 206
页数：8
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