Prediction of cutting force for self-propelled rotary tool using artificial neural networks-Reference-Cited by-同舟云学术

Prediction of cutting force for self-propelled rotary tool using artificial neural networks

Published:2006-12 Issue:1-3 Volume:180 Page:23-29
ISSN:0924-0136
Container-title:Journal of Materials Processing Technology
language:en
Short-container-title:Journal of Materials Processing Technology

Author:

Hao Wangshen,Zhu Xunsheng,Li Xifeng,Turyagyenda Gelvis

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modelling and Simulation,Ceramics and Composites

Reference16 articles.

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2. Experiments with self-propelled rotary cutting tools;Ramaswamy,1968

3. Recent progress in machining with rotary tools;Venuvinod,1972

4. The principle of equivalent obliquity and its application to rotary cutting;Venuvinod;Ann. CIRP,1983

5. Cutting temperature and force in machining of high-performance materials with self-propelled rotary tools;Chen;JSME Int. J. Ser. III,1992

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