A Method to Predict and Visualize the Wheel and Work Surface Topography in Surface Grinding

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Abstract:

Visualization of work surface topography through simulations is very challenging task in grinding process due to the complexity of wheel-work interactions with a very high number of cutting points (grits). Kinematic mapping of abrasive grits on a three-dimensional wheel topography enables the evaluation of ground surface topography through simulations. In this paper, a method for generating the ground surface topography based on wheel specifications is presented. Abrasive grits size, abrasives volume percentage and their nature of distribution on the wheel surface are considered in the modeling and visualization of wheel topography. The simulation results of ground surface topographies prove the feasibility of the developed method.

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62-68

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August 2017

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[1] J.C. Aurich, D. Biermann, H. Blum, C. Brecher, C. Carstensen, B. Denkena, F. Klocke, M. Kröger, P. Steinmann, K. Weinert, Modelling and simulation of process: Machine interaction in grinding, Prod. Eng. Res. Devel. 3 (2009) 111–120.

DOI: 10.1007/s11740-008-0137-x

Google Scholar

[2] J.C. Aurich, B. Kirsch, Kinematic simulation of high-performance grinding for analysis of chip parameters of single grains, CIRP Journal of Manufacturing Science and Technology 5 (2012) 164–174.

DOI: 10.1016/j.cirpj.2012.07.004

Google Scholar

[3] K. Steffens, W. König, Closed Loop Simulation of Grinding, CIRP Annals - Manufacturing Technology 32 (1983) 255–259.

DOI: 10.1016/s0007-8506(07)63400-3

Google Scholar

[4] T.A. Nguyen, D.L. Butler, Simulation of precision grinding process, part 1: Generation of the grinding wheel surface, International Journal of Machine Tools and Manufacture 45 (2005) 1321–1328.

DOI: 10.1016/j.ijmachtools.2005.01.005

Google Scholar

[5] I. Inasaki, Grinding Process Simulation Based on the Wheel Topography Measurement, CIRP Annals - Manufacturing Technology 45 (1996) 347–350.

DOI: 10.1016/s0007-8506(07)63077-7

Google Scholar

[6] P. Koshy, V.K. Jain, G.K. Lal, Stochastic simulation approach to modelling diamond wheel topography, International Journal of Machine Tools and Manufacture 37 (1997) 751–761.

DOI: 10.1016/s0890-6955(96)00086-7

Google Scholar

[7] R.L. Hecker, I.M. Ramoneda, S.Y. Liang, Analysis of Wheel Topography and Grit Force for Grinding Process Modeling, Journal of Manufacturing Processes 5 (2003) 13–23.

DOI: 10.1016/s1526-6125(03)70036-x

Google Scholar

[8] H.N. Li, D. Axinte, On a stochastically grain-discretised model for 2D/3D temperature mapping prediction in grinding, International Journal of Machine Tools and Manufacture 116 (2017) 60–76.

DOI: 10.1016/j.ijmachtools.2017.01.004

Google Scholar

[9] S. Malkin, C. Guo, Grinding technology: Theory and application of machining with abrasives, secondnd ed., Industrial Press, New York, (2008).

Google Scholar

[10] Z.B. Hou, R. Komanduri, On the mechanics of the grinding process – Part I. Stochastic nature of the grinding process, International Journal of Machine Tools and Manufacture 43 (2003) 1579–1593.

DOI: 10.1016/s0890-6955(03)00186-x

Google Scholar

[11] X. Zhou, F. Xi, Modeling and predicting surface roughness of the grinding process, International Journal of Machine Tools and Manufacture 42 (2002) 969–977.

DOI: 10.1016/s0890-6955(02)00011-1

Google Scholar

[12] I.D. Marinescu, Handbook of machining with grinding wheels.

Google Scholar

[13] Y. Liu, A. Warkentin, R. Bauer, Y. Gong, Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations, Precision Engineering 37 (2013) 758–764.

DOI: 10.1016/j.precisioneng.2013.02.009

Google Scholar