Multi-objective optimisation design of cross-shaft based on Kriging response surface optimisation model

被引:0
|
作者
Xie Y. [1 ,2 ]
Xiong S. [1 ,3 ]
Yun J. [1 ,3 ]
Mao Y. [1 ,3 ]
Li B. [1 ,3 ]
Tang X. [1 ,3 ]
Cao Y. [4 ]
机构
[1] Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Hubei, Wuhan
[2] Precision Manufacturing Research Institute, Wuhan University of Science and Technology, Hubei, Wuhan
[3] Research Centre for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Hubei, Wuhan
[4] Technology Research and Development, Hubei Jingmen Wusan Machinery Equipment Manufacturing Co., Ltd., Hubei, Jingmen
基金
中国国家自然科学基金;
关键词
ANSYS workbench; cross shaft; multi-objective optimisation; sensitivity analysis;
D O I
10.1504/IJWMC.2024.137166
中图分类号
学科分类号
摘要
Cross-universal coupling is a key component of the mechanical transmission system and the cross-shaft is the core component of the coupling for torque transmission. Under normal circumstances, cross-shafts are most susceptible to fatigue and deformation, mainly due to the large torques they carry and the irrationality of their structure. Traditional design methods rely on practical experience to determine the key dimensions of the cross-shaft, resulting in long design cycles and low reliability. To address this problem, parametric modelling of the cross-shaft is carried out in this paper and imported into ANSYS Workbench. In addition, static and finite element analyses are carried out to find the weak parts of the cross shaft as the objective function. Finally, sensitivity analysis is carried out using the main structural parameters of the cross-shaft as design variables. Based on the linear correlation matrix and sensitivity graph, the three design variables that have the greatest impact on the objective function, journal height, thickness and body length, are selected. © 2024 Inderscience Enterprises Ltd.
引用
收藏
页码:207 / 214
页数:7
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