Prediction System of Thermal Errors Implemented on Machine Tools with Open Architecture Controller

개방형 CNC를 갖는 공작기계에 실장한 열변형량 예측 시스템

  • 김선호 (동의대학교 메카트로닉스공학과) ;
  • 고태조 (영남대학교 기계공학부) ;
  • 안중환 (부산대학교 기계공학부)
  • Published : 2008.05.01

Abstract

The accuracy of the machine tools is degraded because of thermal error of structure due to thermal variation. To improve the accuracy of a machine tools, measurement and prediction of thermal error is very important. The main part of thermal source is spindle due to high speed with friction. The thermal error of spindle is very important because it is over 10% in total thermals errors. In this paper, the suitable thermal error prediction technology for machine tools with open architecture controller is developed and implemented to machine tools. Two thermal error prediction technologies, neural network and multi-linear regression, are investigated in several methods. The multi-linear regression method is more effective for implementation to CNC. The developed thermal error prediction technology is implemented on the internal function of CNC.

Keywords

References

  1. Gryan, J. B., "International status of thermal errors research," Annals of the CIRP, Vol. 39, No. 2, pp. 645-656, 1990 https://doi.org/10.1016/S0007-8506(07)63001-7
  2. Weck, M., Mckeown, P., Bonse, R. and Herbst, U., "Reduction and compemnsation of thermal errors in machine tools," Annals of the CIRP, Vol. 44, No. 2, pp. 589-598, 1995 https://doi.org/10.1016/S0007-8506(07)60506-X
  3. Slocum, A. H. "Precision machine design," Prentice Hall International Editions, pp. 248-269, 1992
  4. Lee, S. W. and Pahk, H. J., "Development of a thermal error measurement/Correction system for the 5 DOF spindle thermal deformations in CNC machine tools," Proceedings of the annual meeting-ASPE, 13th, pp. 291-294, 1998
  5. Ahn, J. Y. and Chung, S. C. "Estimation of Thermal Deformation for the Machine Origin of Machining Centers using GMDH Algorithm," J. of KSME, Vol. 22, No. 12, pp. 2126-2135, 1998
  6. Lee, J. J, "Modeling Methods for Thermal Errors of Machine Tool," J. of KSPE, Vol. 19, No. 5, pp. 19-24, 2002
  7. Hwang, S. H., Lee, J. H. and Yang, S. H., "Fault Diagnosis and Recovery of a Thermal Error Compensation System in a CNC Machine Tool," J. of KSPE, Vol. 17, No. 4, pp. 135-141, 2000
  8. SIEMENS Ltd., "SINUMERIK 840D/840Di/810D Programming Guide," 2001
  9. ISO, "Test code for machine tools-Evaluation of thermal effect," ISO/DIS No. 230-3, 2002
  10. Pao, Y. H., "Adaptive pattern recognition and neural networks," Addison wesley, pp. 269-299, 1989