Abstract
Grinding is used to meet the accuracy and surface finish requirements of the cam profile in most applications. In order to eliminate the contour error and enhance the processing precision of cam grinding, a methodology for contour error precompensation in cam grinding based on case-based reasoning and rule-based reasoning was implemented. By comparing the dimensional error variation and the corresponding adjacent error variation before/after intelligent precompensation, a satisfied result was obtained by applying the methodology to actual processing.
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Deng ZH, Zhang XH, Liu W, Cao H (2009) A hybrid model using genetic algorithm and neural network for process parameters optimization in NC camshaft grinding. Int J Adv Manuf Technol 45(9–10):859–866
Huang H, Chenb WK, Kuriyagawa T (2007) Profile error compensation approaches for parallel nanogrinding of aspherical mould inserts. Int J Mach Tool Manuf 47(15):2237–2245
Tian XC, Huissoon JP, Xu Q, Peng B (2008) Dimensional error analysis and its intelligent pre-compensation in CNC grinding. Int J Adv Manuf Technol 36(1–2):28–33
Mannan MA, Ramesh R, Poo AN (2007) Error compensation in machine tools—a review part I: geometric, cutting-force induced and fixture-dependent errors. Int J Mach Tool Manuf 40(9):1235–1256
Zhang G, Veale R, Charlton T, Borchardt B (1985) Error compensation of coordinate measuring machines. CIRP Ann Manuf Technol 34(1):445–448
Xie J, Zhou RM, Xu J, Zhong YG (2010) Form-truing error compensation of diamond grinding wheel in CNC envelope grinding of free-form surface. Int J Adv Manuf Technol 48(9–12):905–912
Cui GW, Lu Y, Li JG, Gao D, Yao YX (2012) Geometric error compensation software system for CNC machine tools based on NC program reconstructing. Int J Adv Manuf Technol 48(9–12):905–912
Marsh ER, Moerlein AW, Deakyne TRS, Doren MJV (2008) In-process measurement of form error and force in cylindrical-plunge grinding. Precis Eng 32(4):348–352
Cai R, Rowe WB, Moruzzi JL, Morgan MN (2008) Intelligent grinding assistant (IGA(©))—system development, part I: intelligent grinding database. Int J Adv Manuf Technol 35(1–2):75–85
Riesbeck C, Schank RC (1989) Inside case-based reasoning. Lawrence Erlbaum, Hillsdale
Watson I (1999) Case-based reasoning is a methodology not a technology. Knowl Base Syst 12(5–6):303–308
Alabed A, Chen X (2009) Development of a knowledge warehouse for grinding. Proceedings of Computing and Engineering Annual Researchers' Conference 2009 (CEARC’09) University of Huddersfield, Huddersfield. pp 99–104
Das A, Caprihan R (2008) A rule-based fuzzy-logic approach for the measurement of manufacturing flexibility. Int J Adv Manuf Technol 38(11–12):1098–1113
Khan AW, Chen WY (2011) A methodology for systematic geometric error compensation in five-axis machine tools. Int J Adv Manuf Technol 53(5–8):615–628
Huan J, Ma WM (2010) Method for graphically evaluating the workpiece’s contour error in non-circular grinding process. Int J Adv Manuf Technol 46(1–4):117–121
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Zhang, X.H., Deng, Z.H., An, W.K. et al. A methodology for contour error intelligent precompensation in cam grinding. Int J Adv Manuf Technol 64, 165–170 (2013). https://doi.org/10.1007/s00170-012-4027-1
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DOI: https://doi.org/10.1007/s00170-012-4027-1