Finite element modelling of machining of AISI 316 steel: Numerical simulation and experimental validation |
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| Authors: | C Maranhão J Paulo Davim |
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| Affiliation: | 1. Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Steinbachstr. 19, 52074 Aachen, Germany;2. Department of Ferrous Metallurgy (IEHK), RWTH Aachen University, Intzestrasse 1, 52072 Aachen, Germany;1. Karlsruhe Institute of Technology (KIT), Institute for Applied Materials—Materials Science and Engineering (IAM-WK), Kaiserstr. 12, D-76131 Karlsruhe, Germany;2. Karlsruhe Institute of Technology (KIT), Laboratory for Electron Microscopy (LEM), Kaiserstr. 12, D-76131 Karlsruhe, Germany;3. Karlsruhe Institute of Technology (KIT), Institute for Production Science (wbk), Kaiserstr. 12, D-76131 Karlsruhe, Germany;1. Faculty of Engineering, Mondragon University, Mondragon 20100, Spain;2. School of Mechanical Engineering, University of Leeds, LS29JT, UK;1. Faculty of Engineering, Mondragon University, Mondragón 20500, Spain;2. Manufacturing & Automation Research Laboratory, School of Engineering, Industrial & Systems Engineering, Rutgers University, Piscataway, NJ 08854, USA;3. Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende CS 87036, Italy;4. The University of North Carolina at Charlotte, Charlotte, NC 28223, USA;5. Institute for Sustainable Manufacturing (ISM), University of Kentucky, Lexington, KY 40506, USA;1. University of Düzce, Faculty of Technology, Department of Manufacturing Engineering, Konuralp Yerle?kesi, 81620 Düzce, Turkey;2. University of Afyon Kocatepe, Faculty of Technology, Department of Mechanical Engineering, A.N.S Campus, 03200 Afyonkarahisar, Turkey;3. Y?ld?r?m Beyaz?t University, Faculty of Engineering and Natural Sciences, Department of Mechanical Engineering, Ankara, Turkey;1. Photonics Division, Institute for Advanced Studies, 12228-970 Sao Jose dos Campos, Brazil;2. IREPA LASER, Parc d’Innovation, 67400 Illkirch, France |
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| Abstract: | The objective of this research is to modeling the thermo mechanical behavior when machining a stainless steel (AISI 316) and to determine the influence of the friction coefficient in the tool-chip interface on cutting and feed forces, cutting temperature, plastic strain, plastic strain rate, maximum shear stress and residual stresses. An experimental validation of the cutting process was conducted in order to verify the numerical simulated results and the comparison shows that the friction modeling at the tool-chip interface has a significant influence on the final results.Therefore, it can be concluded that the friction coefficient has a strong effect in the cutting process and is crucial to obtain valuable predictions when machining with the FEM model. |
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