Optimization of Non-Productive Tool Path in Drilling: A Review

被引:2
|
作者
Khodabakhshi, Z. [1 ]
Hosseini, A. [1 ]
机构
[1] Ontario Tech Univ, Fac Engn & Appl Sci, Dept Mech & Mfg Engn, Oshawa, ON, Canada
来源
IFAC PAPERSONLINE | 2021年 / 54卷 / 01期
关键词
Intelligent Manufacturing systems; Modeling of manufacturing operations; Intelligent Drilling; Tool path Optimization; Travelling Salesman Problem; GENETIC ALGORITHM;
D O I
10.1016/j.ifacol.2021.08.048
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Global competition and rapidly changing markets require more innovative and efficient manufacturing processes and systems. In this context, intelligent machining has recently become of great interest and optimization of intelligent machining systems has been one of the primary topics of research and development. Optimization of machining operations embraces topics such as optimization of tool path, optimization of machining parameters, etc. Among the machining operations, this paper is focused on drilling and it studies methodologies and approaches for optimization of tool path generation in drilling. The current paper presents a clear yet concise understanding of the typical problems in drilling tool path optimization, describes different approaches to solve these problems, and finally reviews the remaining challenges in this field. Copyright (C) 2021 The Authors.
引用
收藏
页码:426 / 431
页数:6
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