Advance in detection system to improve the stability and capability of CNC turning process
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
http://link.springer.com/content/pdf/10.1007/s10845-009-0355-x.pdf
Reference21 articles.
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2. Altintas Y., Weck M. (2004) Chatter stability of metal cutting and grinding. Annals of the CIRP 53: 619–642. doi: 10.1016/S0007-8506(07)60032-8
3. Andreasen J. L., Chiffre L. D. (1993) Automatic chip-breaking detection in turning by frequency analysis of cutting force. Annals of the CIRP 42: 45–48. doi: 10.1016/S0007-8506(07)62388-9
4. Grzesik W., Bernat P. (1998) An investigation of the cutting process for chip breaking monitoring in turning of steels. Transactions of the ASME: Journal of Manufacturing Science and Engineering 120: 555–562. doi: 10.1115/1.2830159
5. Hino J., Su C., Yoshimura T. (2001) A study on chatter prediction in high-speed end milling process by fuzzy neural network. International Journal of Japan Society of Mechanical Engineers, Series C 47: 825–831
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