Thermal error optimization modeling and real-time compensation on a CNC turning center

Journal of Materials Processing Technology

Volumn 207, Issue 1-3, 2008, Pages 172-179

  Hao, Wu ^a   Hongtao, Zhang ^a   Qianjian, Guo ^a   Xiushan, Wang ^a   Jianguo, Yang ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Artificial neural networks; Genetic algorithm; NC machine tool; Optimization modeling; Thermal error

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION ALGORITHMS; COMPUTER NETWORKS; ERRORS; GENETIC ALGORITHMS; MACHINERY; MACHINING; NEURAL NETWORKS; PRECISION ENGINEERING; TURNING;

ARTIFICIAL NEURAL NETWORKS; GENETIC ALGORITHM; NC MACHINE TOOL; OPTIMIZATION MODELING; THERMAL ERROR;

ERROR COMPENSATION;

EID: 50949116424     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2007.12.067     Document Type: Article

References (22)

1. Attia M.H., Fraser S., and Osman M.O.M. On-line estimation of time-variant thermal load applied to machine tool structures using a s-domain inverse solution. Int. J. Mach. Tools Manuf. 39 (1999) 985-1000
2. Barakat N.A., Spence A.D., and Elbestawi M.A. Adaptive compensation of quasi-static errors for an intrinsic machine. Int. J. Mach. Tools Manuf. 40 (2000) 2267-2291
3. Choi H.-S., and Lee S.-K. Machining error compensation of external cylindrical grinding using thermally actuated rest. Mechatronics 12 (2002) 643-656
4. Delbressine F.L.M., Florussen G.H.J., Schijvenaars L.A., and Schellekens P.H.J. Modelling thermomechanical behaviour of multi-axis machine tools. Prec. Eng. 30 (2006) 47-53
5. Hao W., Zhu X., Li X., and Turyagyenda G. Prediction of cutting force for self-propelled rotary tool using artificial neural networks. J. Mater. Process. Technol. 180 (2006) 23-29
6. Holland J.H. Adaptation in natural and article systems [M] (1975), University of Michigan Press, Ann Arbor, MI
7. Kang Y., Chang C.-W., Huang Y., Hsu C.-L., and Nieh I.-F. Modification of a neural network utilizing hybrid filters for the compensation of thermal deformation in machine tools. Int. J. Mach. Tools Manuf. 47 (2007) 376-387
8. Lee J.-H., and Yang S.-H. Statistical optimization and assessment of a thermal error model for CNC machine tools. Int. J. Mach. Tools Manuf. 42 (2002) 147-155
9. Lee D.S., Choi J.Y., and Choi D.-H. ICA based thermal source extraction and thermal distortion compensation method for a machine tool. Int. J. Mach. Tools Manuf. 43 (2003) 589-597
10. Mize C.D., and Ziegert J.C. Neural network thermal error compensation of a machining center. J. Int. Soc. Prec. Eng. Nanotechnol. 24 (2000) 338-346
11. Okafor A.C., and Ertekin Y.M. Derivation of machine tool error models and error compensation procedure for three axes vertical machining center using rigid body kinematics. Int. J. Mach. Tools Manuf. 40 (2000) 1199-1213
12. Hecht-Nielson R. Kolmogorov's Mapping Neural Network Existence Theorem. IEEE First International Conference on Neural Networks, vol. 3 (1987) 11-14
13. Sahoo G.B., and Ray C. Predicting flux decline in cross-flow membranes using artificial neural networks and genetic algorithms. J. Membr. Sci. 283 (2006) 147-157
14. Wang Y., Zhang G., Moon K.S., and Sutherland J.W. Compensation for the thermal error of a multi-axis machining center. J. Mater. Process. Technol. 75 (1998) 45-53
15. Weck M., Mckeown P., and Bonse R. Reduction and compensation of thermal error in machine tools [J]. Ann. CIRP 44 2 (1995) 589-598
16. Yang M., and Lee J. Measurement and prediction of thermal errors of a CNC machining center using two spherical balls. J. Mater. Process. Technol. 75 (1998) 180-189
17. Yang S., Yuan J., and Ni J. Accuracy enhancement of a horizontal machining center by real-time compensation [J]. J. Manuf. Syst. 15 2 (1996) 113-124
18. Yang S., Yuan J., and Ni J. The improvement of thermal error modeling and compensation on machine tools by neural network. Int. J. Mach. Tools Manuf. 36 4 (1996) 527-537
19. Yang S., Yuan J., and Ni J. The improvement of thermal error modeling and compensation on machine tools by CMAC neural network. Int. J. Mach. Tools Manuf. 36 4 (1996) 527-537
20. Yang J., Yuan J., and Ni J. Thermal error mode analysis and robust modeling for error compensation on a CNC turning center. Int. J. Mach. Tools Manuf. 39 (1999) 1367-1381
21. Yang J.G., Ren Y.Q., and Du Z.C. An application of real-time error compensation on an NC twin-spindle lathe. J. Mater. Process. Technol. 129 (2002) 474-479
22. Yang H., and Ni J. Dynamic neural network modeling for nonlinear, nonstationary machine tool thermally induced error. Int. J. Mach. Tools Manuf. 45 (2005) 455-465