Amalgamation of Physics-Based Cutting Force Model and Machine Learning Approach for End Milling Operation
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Published:2020
Issue:
Volume:93
Page:1405-1410
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ISSN:2212-8271
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Container-title:Procedia CIRP
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language:en
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Short-container-title:Procedia CIRP
Author:
Agarwal Ankit,Desai K.A.
Reference20 articles.
1. Computerized end-milling force predictions with cutting models allowing for eccentricity and cutter deflections;Armarego;CIRP Ann,1991
2. An analytical force model for ball-end milling based on a predictive machining theory considering cutter runout;Fu;Int J Adv Manuf Technol,2016
3. A novel artificial neural networks force model for end milling;Tandon;Int J Adv Manuf Technol,2001
4. Milling force prediction using regression and neural networks;Radhakrishnan;J Intell Manuf,2005
5. Vaishnav, S., Agarwal, A., Desai, K. A., 2019. Machine learning-based instantaneous cutting force model for end milling operation. J Intell Manuf, 1-14.
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