Genetic algorithm-based optimization of cutting parameters in turning processes

被引：85

作者：

D'Addona, Doriana M. ^{[1
]}

Teti, Roberto ^{[1
]}

机构：

[1] Univ Naples Federico II, Dept Chem Mat & Prod Engn, Piazzale Tecchio 80, I-80125 Naples, Italy

来源：

FORTY SIXTH CIRP CONFERENCE ON MANUFACTURING SYSTEMS 2013 | 2013年 / 7卷

关键词：

Metal cutting; Cutting parameters optimization; Genetic algorithm;

D O I：

10.1016/j.procir.2013.05.055

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An optimization paradigm based on genetic algorithms (GA) for the determination of the cutting parameters in machining operations is proposed. In metal cutting processes, cutting conditions have an influence on reducing the production cost and time and deciding the quality of a final product. In order to find optimal cutting parameters during a turning process, the genetic algorithm has been used as an optimal solution finder. Process optimization has to yield minimum production time, while considering technological and material constrains. (C) 2013 The Authors. Published by Elsevier B.V.

引用

页码：323 / 328

页数：6

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