Prediction of Cutting Forces in Milling Using Machine Learning Algorithms and Finite Element Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
http://link.springer.com/content/pdf/10.1007/s11665-021-05507-8.pdf
Reference28 articles.
1. F. Wang, J. Zhao, A. Li and J. Zhao, Experimental Study on Cutting Forces and Surface Integrity in High-Speed Side Milling of Ti-6Al-4V Titanium Alloy, Mach. Sci. Technol. Int. J., 2014, 18, p 448–463.
2. E. Budak, Analytical Models for High Performance Milling Part I: Cutting Forces, Structural Deformations and Tolerance Integrity, Int. J. Mach. Tools Manuf., 2006, 46, p 1478–1488.
3. G. Skordaris, K.-D. Bouzakis, P. Charalampous, T. Kotsanis, E. Bouzakis and R. Bejjani, Bias Voltage Effect on the Mechanical Properties, Adhesion and Milling Performance of PVD Films on Cemented Carbide Inserts, Wear, 2018, 404, p 50–61.
4. M. Rubeo and T. Schmitz, Milling Force Modeling: a Comparison of Two Approaches, Procedia Manuf., 2016, 5, p 90–105.
5. I. Lazoglu, C. Manav and Y. Murtezaoglu, Tool Path Optimization for free form Surface Machining, CIRP Ann., 2009, 58, p 101–104.
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