Performance Optimization of Flexure Hinges using Genetic Algorithm

被引：1

作者：

Li, Bing ^{[1
]}

Gou, Jin ^{[1
]}

机构：

[1] Huaqiao Univ, Coll Comp Sci & Technol, Xiamen 361012, Peoples R China

来源：

FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6 | 2012年 / 121-126卷

关键词：

Flexure Hinges; Optimization; Stiffness; Genetic Algorithm;

D O I：

10.4028/www.scientific.net/AMM.121-126.4542

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The flexure hinge is an important part of micro-displacement table in the precision instruments. To improve the performance of micro-displacement table, the key parameters of its flexure hinges: radius and thickness of hinge and length of connecting rods etc. are studied. Aiming at a commonly used parallel four-bar flexure hinges structure, the parameters of flexure hinge are optimized by using the genetic algorithm under the condition that the frequency of objective function approaches a maximum value.

引用

页码：4542 / 4546

页数：5