Prediction Model and Compensation System of CNC Machine Tool Thermal Error

Author(s): 
W. Zhang†*, H. M. Vollmer‡

Affiliation(s): 
College of Energy and Transportation Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, 221000, China,
‡Coastal Hydraulics Laboratory, U.S. Army Engineering Research and Development Center,Vicksburg, MS 39180, U.S.A.

Cite this paper
W. Zhang†*, H. M. Vollmer‡, “Prediction Model and Compensation System of CNC Machine Tool Thermal Error”, Journal of Mechanical Engineering Research and Developments, vol. 39, no. 2, pp. 387-393, 2016. DOI: 10.7508/jmerd.2016.02.014

ABSTRACT: The thermal error compensation is an economical and effective method to reduce thermal error and improve the machine tool precision. The most economic and fast way of thermal error compensation is through modeling software to compensate, the thermal error modeling is the core technology of the thermal error compensation. This paper is first through improving the precision of grey theory model to improve the model, function transformation method is used to improve the smoothness of grey system data sequence, in order to make up for the inadequacy of traditional grey prediction model, making the prediction more reasonable. Finally, experiment research for robust modeling of thermal error is carried, and real-time compensation of thermal error is applied for turning center. Thermal error compensation system will be obtained and proved to be right through practical manufacturing process.

Keywords : Thermal error; Prediction comprehensive model; Compensation experimental analysis.

 References
[1] T. Zhang, S. H. Liu, “Overview of Thermal Error Compensation Modeling for Numerical Control Machine”, Machine Tool and Hydraulics, vol. 39, no. 1, pp. 122-127, January 2011.
[2] G. L. Liu, K. Liu, Z. P. Zhang, “Application of Thermal Error Compensation Modeling for Numerical Control Machine”, Machine Tool and Hydraulics, vol. 43, no. 5, pp. 82-85, May 2015.
[3] E. M. Miao, Z. H. Gao, L. C. Dang, “Thermal error characteristics analysis of numerical control machine tool”, China Mechanical Engineering, vol. 26, no. 8, pp. 1078-1084, August 2015.
[4] Z. Y. He, J. Z. Fu, Z. C. CHEN, “Thermal error measurement of spindle for 5-axis CNC machine tool based on ball bar”, Optics and Precision Engineering, vol. 23, no. 5, pp. 1401-1408, May 2015.
[5] C. N. Wang, B. Qin, Y. Qin, “Thermal Error prediction of Numerical Control Machine Based on Improved Particle Swarm Optimized Back Propagation Neural Network”, Modular Machine Tools and automatic manufacturing technology, vol. 12, no. 10, pp. 69-72, October 2014.
[6] Y. Yuan, B. Qin, Y. Qin, “Study in Thermal Error Prediction of NC Machine Tool based on Improved Particle Swarm Algorithm Optimized Back Propagation”, Machine Tool & Hydraulics, vol. 43, no. 13, pp. 63-66, July 2015.
[7] E. M. Miao, Y. Y. Gong, Q. S. Xu, “Comparative Analysis of Thermal Error Compensation Model Robustness of CNC Machine Tools”, Journal of Mechanical Engineering, vol. 51, no. 7, pp. 130-135, July 2015.
[8] W. L. Yu, X. H. Yao, L. Sun, “Thermal Error Modeling of CNC Machine Tool Based on Partial Least Squares and Improved Core Vector Regression”, Transactions of the Chinese Society for Agricultural Machinery, vol. 46, no. 2, pp. 357-364, February 2015.
[9] X. D. Yao, “New method to compensate thermal error of CNC machine tool based on big data thinking”, World Manufacturing Engineering & Market, vol. 12, no. 2, pp. 104-115, February 2015.
[10] C. X. Zhang, F. Gao, Y. Li, “On-line Compensation Model Based on Real-time Feedback Thermal Errors of Machine Tools”, World Manufacturing Engineering & Market, vol. 12, no. 3, pp. 361-365, March 2015.