.png){kind=icon}
返回
Machining fixture layout optimization using the genetic algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/S0890-6955(99)00072-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Dimensional and form accuracy of a workpiece are influenced by the fixture layout selected for the machining operation. Hence, optimization of fixture layout is a critical aspect of machining fixture design. This paper presents a fixture layout optimization technique that uses the genetic algorithm (GA) to find the fixture layout that minimizes the deformation of the machined surface due to clamping and machining forces over the entire tool path, The advantages of the GA-based method over previously reported nonlinear programming methods for fixture layout optimization are discussed. Two GA-based fixture layout optimization approaches are implemented and compared by applying them to several two-dimensional example problems. (C) 1999 Elsevier Science Ltd. All rights reserved.
Keyword:
fixture layout optimization
genetic algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
18.8
论文数:
3.6K
被引数:
1.8W
机构
暂无机构信息
引用论文
On the Feasibility of a pMDI-Reduced Production of Wood Fiber Insulation Boards by Means of Kraft Lignin and Ligneous Canola Hulls.png)
Polymers
OAAI
PolymersIF0
OAAI分享收藏 没有更多内容
没有更多内容