Evolutionary algorithms for generation and optimization of tool paths

A. Nassehi, W. Essink, J. Barclay

Research output: Contribution to journalArticle (Academic Journal)peer-review

15 Citations (Scopus)

Abstract

The efficiency of many manufacturing processes is dependent on the properties of the motion path that an end-effector or cutting tool follows. Consequently, algorithms have been developed for generating such tool paths with the aim of optimizing various objectives. In this paper, evolutionary algorithms for generation of continuous motion paths have been investigated to propose a novel method for creation and adaptable optimization of paths that allows the objective to be modified without revising the algorithm. An example test case based on milling with a sequence of objectives has been used to demonstrate the advantages of the proposed method.
Original languageEnglish
Pages (from-to)455-458
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume64
Issue number1
Early online date13 May 2015
DOIs
Publication statusPublished - 2015

Bibliographical note

cited By 0

Fingerprint Dive into the research topics of 'Evolutionary algorithms for generation and optimization of tool paths'. Together they form a unique fingerprint.

Cite this