A Sprocket Optimal Design Method Based on Approximate Response Surface Model

被引:0
作者
Li W.-Q. [1 ]
Wang Q. [1 ]
Li Y. [1 ]
Ren D.-X. [2 ]
机构
[1] School of Manufacture Science and Engineering, Sichuan University, Chengdu
[2] Sichuan Science and Technology Consulting Service Center, Chengdu
来源
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2019年 / 48卷 / 02期
关键词
Approximate modeling; Experimental design; Multi-island genetic algorithm; Response surface method; Sprocket drive;
D O I
10.3969/j.issn.1001-0548.2019.02.020
中图分类号
学科分类号
摘要
Sprocket system is a power transmission device widely used on a variety of industrial equipment, it has importantly theoretical and practical significance to optimize and improve the performance of such system. In this paper, an optimization method with optimization process of sprocket system based on experimental design of response surface model is proposed to overcome the shortcomings of both optimization efficiency and optimization accuracy in current sprocket system optimization. Based on the finite element analysis results of the sprocket system, the optimum hypercube design for the optimal control parameters affecting the sprocket system is presented. The design control parameters with significant influence are obtained and the interactive responses between the control parameters are established. The response surface approximation model of the sprocket system is constructed based on the parameters of the control samples. The multi-island genetic algorithm is used to globally optimize the response surface approximation model and optimize the sprocket system. Compared with the existing optimization methods, this method further improves the overall optimization performance of the sprocket system, and shows that the method has good feasibility and practicability. © 2019, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
引用
收藏
页码:288 / 295
页数:7
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