Multi-objective optimisation design of cross-shaft based on Kriging response surface optimisation model Online publication date: Mon, 04-Mar-2024
by Yuanmin Xie; Sijie Xiong; Juntong Yun; Yanfeng Mao; Boao Li; Xinjie Tang; Yongcheng Cao
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 26, No. 2, 2024
Abstract: 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.
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