TOOL WEAR MONITORING FOR OPTIMIZING CUTTING CONDITIONS

Citation
T. Obikawa et al., TOOL WEAR MONITORING FOR OPTIMIZING CUTTING CONDITIONS, Journal of materials processing technology, 62(4), 1996, pp. 374-379
Citations number
12
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Material Science
ISSN journal
0924-0136
Volume
62
Issue
4
Year of publication
1996
Pages
374 - 379
Database
ISI
SICI code
0924-0136(1996)62:4<374:TWMFOC>2.0.ZU;2-J
Abstract
Tool flank wear during turning is monitored through artificial neural networks of which the input consists of the AR coefficients representi ng the power spectrum of cutting force and some other parameters. The order of AR model is effectively determined by AIC. The monitored and measured flank wear agree very well. The flank wear rate monitored is further used to adaptively revise the characteristic constants of a we ar equation, by which the wear rate after the change of cutting condit ions is predicted and the optimum conditions are finally selected for a case study.