Dynamic and static multi-objective optimization of a vertical machining center based on response surface method

被引：13
|
作者：
Jiang H. [1 ]
Guan Y. [1 ]
Qiu Z. [1 ]
Zhang X. [1 ]
Chen Z. [1 ]
Xu G. [2 ]
机构：
[1] School of Mechanical and Automotive Engineering, South China University of Technology
[2] Foshan Nanhai Zhongnan Machinery Co. Ltd.
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2011年 / 47卷 / 11期
关键词：
Finite element method; Multi-Objective optimization; Optimization design; Response surface methodology;
D O I：
10.3901/JME.2011.11.125
中图分类号：
学科分类号：
摘要：
In order to satisfy the performance requirement of the dynamic and static stiffness and light weight of a machining centre, a method of multi-objective optimization driven by the first natural frequency and mass is proposed. Modal parameters are identified by using a comprehensive approach based on modal test and finite element analysis. The appropriate structural finite element analysis samples in design space are selected by using the central composite design (CCD) experiment method. Quadratic polynomials are employed to construct response surface (RS) model, which reflects the relationship between design inputs and structural response outputs, according to the response outputs of these samples obtained by analyzing the dynamic and static characteristics of the machining centre at these samples with the software ANSYS. Well-distributed samples are generated in the design space by shifted Hammersley sampling method. The prominent points are selected as initial samples. The goal of getting higher first natural frequency and lighter weight is reached and the Pareto optimal solution set is obtained by the multi-objective genetic algorithm in the optimization. Through the optimization, the mass of the machining center is decreased by 6.58% under the condition of ensuring the dynamic and static performance. The results show the high precision and strong engineering practicability of the proposed optimization method. © 2011 Journal of Mechanical Engineering.
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页码：125 / 133
页数：8
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