Thermal error modeling of a machine tool using data mining scheme

Journal of Advanced Mechanical Design, Systems and Manufacturing

Volumn 4, Issue 2, 2010, Pages 516-530

  Wang, Kun Chieh ^a   Tseng, Pai Chang ^b  

^a LING TUNG UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Artificial intelligence; K means method; Machine tools; Rough set theory; Thermal error compensation

Indexed keywords

ADAPTIVE NEURAL FUZZY INFERENCE SYSTEMS; CHARACTERISTIC POINT; INTEGRATED SYSTEMS; K-MEANS; K-MEANS METHOD; KNOWLEDGE DISCOVERY TECHNIQUES; LINEAR REGRESSION MODELS; MACHINING CONDITIONS; ROUGH SET; THERMAL BEHAVIORS; THERMAL DEFORMATION; THERMAL ERROR; THERMAL ERROR COMPENSATION; THERMAL ERROR MODELING;

ARTIFICIAL INTELLIGENCE; FUZZY INFERENCE; LINEAR REGRESSION; MACHINE TOOLS; MACHINING; ROUGH SET THEORY;

ERROR COMPENSATION;

EID: 80051946837     PISSN: None     EISSN: 18813054     Source Type: Journal    
DOI: 10.1299/jamdsm.4.516     Document Type: Article

References (29)

1. th MTDR Conference, Vol. 16,pp185-194, 1975.
2. Z. Haitao, Y. Jianguo, and S. Jinhua, "Simulation of thermal behavior of a CNC machine tool spindle," International Journal of Machine Tools and Manufacture, Vol. 47, ppl003-1010,2007. (Pubitemid 46205129)
3. T. Moriwaki, "Thermal deformation and its on-line compensation of hydro statically supported precision spindle," Annals of the CIRP, Vol. 37(12), pp283-286, 1988.
4. S. Yang, J. Yuan, and J. Ni, "Accuracy enhancement of a horizontal machining center by real-time error compensation," Journal of Manufacturing Systems, Vol. 15(2), ppll3-118, 1996.
5. J. Janeczko, "Machine tool thermal distortion compensation," Proceedings of the 4th Biennial International Machine Tool Technology Conference, 1988.
6. S. Yang, et al., "Accuracy enhancement of a horizontal machining center by real-time error compensation," Journal of Manufacturing System, Vol. 15 (2), ppl 13-118, 1996.
7. J. S. Chen, "Computer-aided accuracy enhancement for multi-axis CNC machine tool," International Journal of Machine Tools and Manufactue, Vol. 35(4), pp593-605, 1995.
8. J. S. Chen, "A study of thermally induced machine tool errors in real cutting conditions," International Journal of Machine Tools and Manufacture, Vol. 36(12), ppl401-1411, 1996.
9. J. S. Chen and G. Chiou, "Quick testing and modeling of thermally-induced errors of CNC machine tools," International Journal of Machine Tools and Manufacture, Vol. 35(7), ppl 063-1074, 1995.
10. A. K. Srivastava, S. C. Veldhuis, and M. A. Elbestawi, "Modeling geometric and thermal errors in a five-axis CNC machine tool," International Journal of Machine Tools and Manufacture, Vol. 35(9),ppl321-1339, 1995.
11. S. Li, Y. Zhang, and G. Zhang, "A study of pre-compensation for thermal errors of NC machine tools," International Journal of Machine Tools and Manufacture., Vol. 37 (12), ppl715-1719, 1997. (Pubitemid 127382405)
12. J. S. Chen, "Fast calibration and modelling of thermally induced machine tool errors in real machining," International Journal of Machine Tools and Manufacture, Vol. 37 (2), ppl 59-169, 1997.
13. Y. Wang, "Compensation for the thermal error of a multi-axis machining centre," ASME Trans. Joutnal of Materials Processing Technology, Vol. 75, pp45-53, 1998. (Pubitemid 128408383)
14. M.Yang and J. Lee, "Measurement and prediction of thermal errors of a CNC machining centre using two spherical balls," ASME Trans. Journal of Materials Processing Technology, Vol. 75, ppl80-189, 1998. (Pubitemid 128408401)
15. C. D. Mize and J. C. Ziegert, "Neural network thermal error compensation of a machining center," Journal of the International Societies for Precision Engineering and Nanotechnology, Vol. 24, pp338-346,2000. (Pubitemid 32033638)
16. J. H. Lee, J. H. Lee, and S. H. Yang, "Thermal error modeling of a horizontal machining center using fuzzy logic stragedy," Journal of Manufacturing Processes, Vol. 3(2), ppl20-127,2001.
17. J. H. Lee and S. H. Yangt, "Statistical optimization and assessment of a thermal error model for CNC machine tools," International Journal of Machine Tools and Manufacture, Vol.42,ppl47-155,2002.
18. Z. C. Du, et al., "Modeling approach of regression orthogonal experiment design for the thermal error compensation of a CNC turning center," Journal of Materials Processing Technology, Vol. 125, pp619-623,2002.
19. H. Yang and Jun Ni, "Dynamic Modeling for machine tool thermal error compensation," Journal of Manufacturing Science and Engineering, Vol. 125, pp245-254, 2003.
20. K. C. Wang, P. C. Tseng, and K. M. Lin, "Thermal Error Modeling of a Machining Center Using Grey System Theory and Adaptive Network-Based Fuzzy Inference System," JSME International Journal, Series C, Vol. 49(4), ppl 179-1187,2006.
21. Y. Kang, C. W. Chang, Y. Huang, C. L. Hsu, and I. F. Nieh, "Modification of a neural network utilizing hybrid filters for the compensation of thermal deformation in machine tools," InternationalJournal of Machine Tools and Manufacture, Vol. 47, pp376-387,2007. (Pubitemid 44738465)
22. R. Ramesh, M. A. Mannan, A. N. Poo, and S. S. Keerthi, "Thermal error measurement and modeling in machine tools. Part I. Influence of varing operating conditions," InternationalJournal of Machine Tools and Manufacture, Vol. 43, pp391-404,2003.
23. R. Ramesh, M. A. Mannan, A. N. Poo, and S. S. Keerthi, "Thermal error measurement and modeling in machine tools. Part II. Hybrid Bayesian Network-support vector machine model," International Journal of Machine Tools and Manufacture, Vol. 43, pp405-419, 2003.
24. J. B. Mac Queen, "Some methods for classification and analysis of multivariate observations," Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, University of California Press, 1:281-297 V. Guralnik and G. Karypis, Workshop on Data Mining in Bioinformatics, 2001.
25. Z. Pawlak, "Rough sets," InternationalJournal of Computer and Information Sciences, Vol. ll,pp341-356, 1982.
26. A. Skowron and A. Rauszer, "The discernibility matrics and functions in information systems," In: Slowinski R. (ed.): Intelligent decision support. Handbook of application and advances of the rough set theory, Kluwer, Dordrecht, pp331-362, 1992.
27. J. S. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Transaction on Systems and Man Cybernetics, Vol. 23, pp665-685, 1993.
28. K. C. Wang, P. C. Tseng, and K. M. Lin, "Thermal error modeling of a machining center using grey system theory and adaptive network-based fuzzy inference system," JSME InternationalJournal, Series C, Vol. 49(4), 2006.
29. W. Ziarko and N. Shan, "Discovering attribute relationships, dependencies and rules by using rough sets," Proceedings of the 28th Annual Hawaii International Conference on System Sciences (HICSS'95): pp293-299, 1995.