Optimization of micro-end milling process parameters of titanium alloy using non-dominated sorting genetic algorithm

The selection of optimal cutting parameters has always presented a critical quality concern in the micromachining process. This study examines the effects of three process parameters which are spindle speed, feed rate and depth of cut on the process outputs. The outputs are the surface area roughne...

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Détails bibliographiques
Auteur principal:	Golshan, Abolfazl
Format:	Thèse
Langue:	anglais
Publié:	2013
Sujets:	Titanium Genetic algorithms
Accès en ligne:	http://psasir.upm.edu.my/id/eprint/47576/1/FK%202013%2049R.pdf

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