Virtual Reality Animation of Chip Formation during Turning

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Virtual Reality (VR) technology allows the animation of machining operations. The kinematic of the machining operation and the geometry of the parts are allocated prevalently to VR using the Virtual Reality Modeling Language (VRML). In order to visualize the machining operation close to reality, the chip formation process needs to be animated as well. This paper presents the virtual reality animation of external cylindrical turning considering the chip formation and the results of the machining operation, such as the process forces. The chips are described numerically using JavaScript which is embedded into the VRML. The JavaScript accesses in addition to an experimentally generated database in order to display the results of the machining operation. The turning operation is visualized both in a non-immersive graphic user interface and an immersive Cave Automatic Virtual Environment (CAVE).

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203-211

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April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] I.E. Sutherland, in: Proceedings of the IFIP Congress, NY, USA (1965), pp.506-508

Google Scholar

[2] G.C. Burdea and P. Coiffet: Virtual Reality Technology, John Wiley & Sons, NY, USA (2003)

Google Scholar

[3] C. Brecher and S. Witt: Production Engineering Vol. 3/4-5 (2009), pp.475-481

Google Scholar

[4] K. Nakayama and M. Arai, in: Proceeding of the international conference on manufacturing Engineering, Melbourne, Australia (1980), pp.6-10

Google Scholar

[5] K. Nakayama and M. Arai: Annals of the CIRP Vol. 41/1 (1992), pp.71-74

Google Scholar

[6] Z. Li and Y. Rong: Machining Science and Technology Vol. 3/1 (1999), pp.25-48

Google Scholar

[7] L.V. Colwell: Transaction of the ASME Vol. 76 (1954), pp.199-204

Google Scholar

[8] J.C. Aurich, D. Ostermayer and M. Rößing: ProSTEP iViP Science Days, Darmstadt, Germany (2005)

Google Scholar

[9] J.C. Aurich, D. Ostermayer and C. Wagenknecht: International Journal of Production Research Vol. 47 (2009), pp.5297-5309

Google Scholar

[10] ISO/IEC 14772-1 (1997)

Google Scholar

[11] ISO/IEC 14772-2 (2004)

Google Scholar

[12] K. Ranga and K. Gramoll: ASEE Conference and Exposition, St Louis, USA (2000), Session 1368

Google Scholar

[13] Y. Qiu, W. Li and Z. Wei., in: Proceedings of IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application (2008), pp.949-953

Google Scholar

[14] R. Vrabic, P. Krajnik, R. Drazumeric, B. Meyer, P. Butala and P. Kopac: 42nd CIRP Conference on Manufacturing Systems, Grenoble, France (2009)

Google Scholar

[15] H. He and Y. Wu: Computer in Industry Vol. 60 (2009), pp.686-697

Google Scholar

[16] H. Arshad, Z.R. Mahayuddin, C.H.C. Haron and R. Hassan: European Journal of Scientific Research Vol. 24/1 (2008), pp.148-156

Google Scholar

[17] W.K. Chiu, K.M. Yu and K.H. Man: International Journal of Computer Integrated Manufacturing Vol. 20/8 (2007), pp.781-793

Google Scholar

[18] L. Zhou: Machining chip-breaking prediction with grooved inserts in steel turning, PhD thesis, Worcester Polytechnic Institute, Mass., USA (2001)

Google Scholar