Multi-objective particle swarm algorithm for the posterior selection of machining parameters in multi-pass turning

The approach presented in this paper addresses the machining process optimization problem through realistic modeling of multi-pass operations. It is designed to determine, at the same time, the number of passes and the cutting conditions of each. This is a multi-objective optimization model that sim...

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Bibliographic Details

Published in:	Journal of King Saud University: Engineering Sciences
Main Author:	Toufik Ameur
Format:	Article
Language:	English
Published:	Springer 2021-05-01
Subjects:	Multi-pass turning operations Multi-objective optimization Pareto methods Particle swarm algorithm Cutting conditions
Online Access:	http://www.sciencedirect.com/science/article/pii/S1018363920302415