Multi-material optimization model based on response surface method and its application

被引：0

作者：

Chai H. ^{[1
]}

Huang Y. ^{[1
]}

Zhang Z. ^{[1
]}

Lu C. ^{[1
]}

机构：

[1] College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2020年 / 26卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Material type; Modal; Multi-objective optimization; Product design; Response surface method; Vehicle seat;

D O I：

10.13196/j.cims.2020.07.011

中图分类号：

学科分类号：

摘要：

Based on the second-order response surface method, a multi-material and multi-objective optimization model was established, and the optimal design for the lightweight on a kind of vehicle seat was researched. The optimization problem was defined as a multi-objective optimization problem. Sampling points were obtained by using the optimal Latin hypercube experimental method. To improve the efficiency of the optimization problem, a second-order response surface approximation model was used to fit the relationship between the design variables and the response. Then the fast elitist Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) was used to solve the optimization problem. To reduce the total mass of vehicle seat and increase the first-order modal in the application, the material type and the thickness of each component was defined as design variables. The optimal design of material and thickness was obtained and verified according to the national regulations. The results showed that the method was accurate and effective, and the lightweight design of the seat structure was realized while improving the first-order mode of the vehicle seat. © 2020, Editorial Department of CIMS. All right reserved.

引用

页码：1824 / 1830

页数：6

共 12 条

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