Development of machinability data model for end milling using artificial neural networks

Machinability data is a crucial factor affecting manufacturing cost and quality. Two artificial neural network machinability data models have been developed for the recommendation of proper cutting speed and feed rate for the peripheral end milling process. The first model is for single tool of high...

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Auteur principal:	Chu, Bee Wang
Format:	Thèse
Langue:	anglais
Publié:	2009
Sujets:	Information storage and retrieval systems - Mechanical engineering Neural networks (Computer science) Artificial intelligence
Accès en ligne:	http://psasir.upm.edu.my/id/eprint/51547/1/FK%202009%20115RR.pdf