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

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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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Bibliographic Details
Main Author:	Golshan, Abolfazl
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Titanium Genetic algorithms
Online Access:	http://psasir.upm.edu.my/id/eprint/47576/ http://psasir.upm.edu.my/id/eprint/47576/1/FK%202013%2049R.pdf

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