Genetic-algorithm-based optimal tolerance allocation using a least-cost model

被引：53
|
作者：
Prabhaharan, G [1 ]
Asokan, P [1 ]
Ramesh, P [1 ]
Rajendran, S [1 ]
机构：
[1] Reg Engn Coll, Dept Prod Engn, Tiruchirappalli 620015, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2004年 / 24卷 / 9-10期
关键词：
DBD algorithm; genetic algorithm; Monte-Carlo simulation; tolerance allocation;
D O I：
10.1007/s00170-003-1606-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Conventional tolerance analysis is tedious and time consuming, which makes engineers resist doing it. Complex assembly problems are generally beyond the capabilities of most design and manufacturing engineers. In this paper, genetic algorithm, a kind of non-traditional optimization technique is used as the basic foundation for optimal tolerance allocation to help design and manufacturing engineers to overcome the shortcomings in the conventional tolerance stack analysis and allocation system.
引用
收藏
页码：647 / 660
页数：14
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