Interest of Multiphysics and Multilevel Simulation Approaches to Enhance the Machining Process

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The rise of high speed manufacturing gave birth to high capabilities machine tools; meanwhile the constraints have increased. To face these challenges, several simulation solutions have been proposed. They cover many aspects of the manufacturing process such as CNC controller behavior, cutting forces estimation or geometric errors. However, most of them center on a specific view of the machining process. In contrast, combined multiphysics and multiscale approaches are beneficial, in particular for surface integrity improvements purposes. This paper discusses the interest of using simulation approaches at different levels. The first target is to analyze existing parameterizations. Then, a comparison of several parameters tuning extends the space of acceptable solution and provides new enhancements. Finally, a simulation method for form defect of machined surfaces identification is introduced. Several simulation solutions developed in the laboratory are taken as illustrative examples.

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891-899

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April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] K.L. Edwards: Designing of engineering components for optimal materials and manufacturing process utilisation, Materials & Design, Vol. 24 (2003), pp.355-366

DOI: 10.1016/s0261-3069(03)00041-4

Google Scholar

[2] J. Ruan, K. Eiamsa-Ard, F.W. Liou: Automatic Process Planning and Toolpath Generation of a Multiaxis Hybrid Manufacturing System, Journal of Manufacturing Processes, Vol. 7 (2005), pp.57-68

DOI: 10.1016/s1526-6125(05)70082-7

Google Scholar

[3] A. Larue, Y. Altintas: Simulation of flank milling processes, International Journal of Machine Tools and Manufacture, Vol. 45 (2005), pp.549-559

DOI: 10.1016/j.ijmachtools.2004.08.020

Google Scholar

[4] L.N. Lopez De Lacalle, A. Lamikiz, J.A. Sanchez, M.A. Salgado: Toolpath selection based on the minimum deflection cutting forces in the programming of complex surfaces milling, International Journal of Machine Tools and Manufacture, Vol. 47 (2007), pp.388-400

DOI: 10.1016/j.ijmachtools.2006.03.010

Google Scholar

[5] Z.D. Zhou, J.D. Zhou, Y.P. Chen, S.K. Ong, A.Y.C. Nee: Geometric Simulation of NC Machining Based on STL Models, CIRP Annals - Manufacturing Technology, Vol. 52 (2003), pp.129-134

DOI: 10.1016/s0007-8506(07)60548-4

Google Scholar

[6] J. Zhang, S.K. Ong, A.Y.C. Nee: A multi-regional computation scheme in an AR-assisted in situ CNC simulation environment, Computer-Aided Design, Vol. 42 (2010), pp.1167-1177

DOI: 10.1016/j.cad.2010.06.007

Google Scholar

[7] A. Abdul Kadir, X. Xu, E. Hämmerle: Virtual machine tools and virtual machining--A technological review, Robotics and Computer-Integrated Manufacturing, Vol. In Press, Corrected Proof (2010)

DOI: 10.1016/j.rcim.2010.10.003

Google Scholar

[8] Machineworks: CNC Simulation and Verification, http://www.machineworks.com/, accessed 15 December 2010.

Google Scholar

[9] Information on http://www.cgtech.com

Google Scholar

[10] Information on http://www.ncsimul.com

Google Scholar

[11] A. Dugas, J.-J. Lee, J.-Y. Hascoët: An enhanced machining simulator with tool deflection error analysis, Journal of Manufacturing Systems, Vol. 21 (2002), pp.451-463

DOI: 10.1016/s0278-6125(02)80051-6

Google Scholar

[12] J.-Y. Hascoet, P. Dépincé, T.I. Seo: Compensation of tool deflection in ball-end millng simulation and experimental results, CIRP International Seminar on Improving Machine Tool Performance, conference proccedings, (1998), pp.375-388.

Google Scholar

[13] D. Marinac: 2001, Tool path strategies for high speed milling, Modern Machine Shop Online, Information on http://www.mmsonline.com/articles/020004.html

Google Scholar

[14] M. Rauch, J.Y. Hascoet: Rough pocket milling with trochoidal and plunging strategies, International Journal of Machining and Machinability of Materials, Vol. 2 (2007), pp.161-175

DOI: 10.1504/ijmmm.2007.013780

Google Scholar

[15] S. Wakaoka, Y. Yamane, K. Sekiya, N. Narutaki: High-speed and high-accuracy plunge cutting for vertical walls, Journal of Materials Processing Technology, Vol. 127 (2002), pp.246-250

DOI: 10.1016/s0924-0136(02)00151-6

Google Scholar

[16] S.D. Merdol, Y. Altintas: Virtual cutting and optimization of three-axis milling processes, International Journal of Machine Tools and Manufacture, Vol. 48 (2008), pp.1063-1071

DOI: 10.1016/j.ijmachtools.2008.03.004

Google Scholar

[17] B. Anselmetti: Generation of functional tolerancing based on positioning features, Computer-Aided Design, Vol. 38 (2006), pp.902-919

DOI: 10.1016/j.cad.2006.05.005

Google Scholar

[18] O. Legoff, S. Tichadou, J.Y. Hascoët: Manufacturing errors modelling: two three-dimensional approaches, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 218 (2004), pp.1869-1873

DOI: 10.1177/095440540421801219

Google Scholar

[19] J. Lecompte, O. Legoff, J.-Y. Hascoet: Technological form defects identification using discrete cosine transform method, The International Journal of Advanced Manufacturing Technology, Vol. 51 (2010), pp.1033-1044

DOI: 10.1007/s00170-010-2687-2

Google Scholar