Prediction of polycrystalline materials texture evolution in machining via Viscoplastic Self-Consistent modeling |
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| Institution: | 1. Georges W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, USA;2. School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, USA;1. Stiftung Institut für Werkstofftechnik (IWT), Bremen, Germany;2. CONICET and University of Buenos Aires, Argentina;1. College of Information Science and Engineering, Northeastern University; State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University), Shenyang, Liaoning, 110819, China;2. Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843-3131, USA;3. Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX 77843-3367, USA;1. Wroclaw University of Technology, Lukasiewicza 5 Street, Building B4, Poland;2. Wroclaw University of Technology, Lukasiewicza 5 Street, Building B9, Poland;1. Institute for Machine Tools, Stuttgart University, Holzgartenstr.17, D-70174 Stuttgart, Germany;2. Institute for Materials Testing, Materials Science and Strength of Materials, Stuttgart University, Pfaffenwaldring 32, D-70569 Stuttgart, Germany;1. Quirky Consulting Ltd, Flat 5, The Albany, Gloucester Square, SO142GH Southampton, UK;2. Center of Innovation in Design and Technology, Instituto Tecnologico y de Estudios Superiores de Monterrey, Eugenio Garza Sada 2501, Monterrey 64849, Mexico;3. Ternium SA, Flat Steels Division, Av. Eugenio Clariond Reyes 155, San Nicolas de los Garza 66452, Mexico;1. Department of Mechanical and Aerospace Engineering, North Carolina State University, Box 7910, Raleigh, NC 27695, USA;2. Advanced Hydrogen Technologies Corporation, 1160 Cal Court, Lenoir, NC 28645, USA |
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| Abstract: | The crystallographic orientation or anisotropy is one of the main microstructural attributes strongly affecting the mechanical properties of materials. It is also an influential parameter to be considered during the manufacturing process especially for ultra-precision machining since it affects part quality, tool performance, and process productivity through material properties. In this study, a prediction toolset constituted of a Viscoplastic Self-Consistent model and machining process mechanics model is used to predict the texture evolution on the machined surface. The VPSC (Viscoplastic Self-Consistent) methodology which uses the mechanisms of slip and twinning that are active in single crystals of arbitrary symmetry was used. For this, an analytical model for the process mechanics is derived to understand the forces and stresses generated by the cutting tool at each workpiece point, then the strain and strain rate to capture the rate at which the material is deforming and finally the crystallographic orientations under various machining conditions. Experiments were performed on the orthogonal cutting of aluminum alloy AA-7075-T651 and the texture results were compared to model predictions. |
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| Keywords: | Machining Texture Anisotropy Viscoplastic Self-consistent |
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