Abstract
In this paper, eddy current sensors and thermocouple sensors were employed to measure the thermal field and thermal deformation of a spindle of a telescopic CNC boring-milling machine tool, respectively. A linear regression method was proposed to establish the thermal error model. Furthermore, two compensation methods were implemented based on the SIEMENS 840D system by using the feed shaft of z direction and telescopic spindle respectively. Experimental results showed that the thermal error could be reduced by 73.79% when using the second compensation method, and the thermal error could be eliminated by using the two compensation methods effectively.
Similar content being viewed by others
References
Pahk H, Lee S W. Thermal error measurement and real time compensation system for the CNC machine tools incorporating the spindle thermal error and the feed axis thermal error[J]. International Journal of Advanced Manufacturing Technology, 2002, 20(7): 487–494.
Chen J S. Neural network-based modeling and error compensation of thermally-induced spindle errors[J]. International Journal of Advanced Manufacturing Technology, 1996, 12(4): 303–308.
Li J W, Zhang W J, Yang G S et al. Thermal-error modeling for complex physical systems: The-state-of-arts review [J]. International Journal of Advanced Manufacturing Technology, 2009, 42(1/2): 168–179.
Li Sheng, Yao Xinhua, Fu Jianzhong. Thermal deformation errors compensation system of machine tools[J]. Advanced Materials Research, 2011, 201–203: 1657–1661.
Wu H C, Hu Y F. Thermal characteristics of magnetic levitated grinding spindle[J]. Journal of Mechanical Engineering, 2010, 46(20): 29–33(in Chinese).
Guo Q J, Yang J G, Wu H. Application of ACO-BPN to thermal error modeling of NC machine tool[J]. International Journal of Advanced Manufacturing Technology, 2010, 50(5–8): 667–675.
Creighton E, Honegger A, Tulsian A et al. Analysis of thermal errors in a high-speed micro-milling spindle[J]. International Journal of Machine Tools and Manufacture, 2010, 50(4): 386–393.
Yan Jiayu, Yang Jianguo. Grey system theory modeling for nonlinear, dynamic machine tool thermal error [J]. Key Engineering Materials, 2009, 407/408: 112–116.
Xie C, Roddeck W, Liu C S et al. The analysis and research about temperature and thermal error measurement technology of CNC machine tool [J]. Key Engineering Materials, 2009, 392–394: 40–44..
Zhang H, Jiang H, Yang J. Application of fuzzy neural network theory in thermal error compensation modeling of NC machine tool[J]. Journal of Shanghai Jiaotong University, 2009, 43(12): 1950–1952 (in Chinese).
Lin Z C, Chang J S. The building of spindle thermal displacement model of high speed machine center[J]. International Journal of Advanced Manufacturing Technology, 2007, 34(5/6): 556–566.
Qi Xiangyang, Zhang Dawei, Zhang Hongjie et al. The control system design of thermal experimental platform for high-speed spindle based PLC[C]. In: 2010 International Conference on Digital Manufacturing and Automation, United States, 2010. 639–642.
Cui Liangyu, Zhang Dawei, Gao Weiguo et al. Thermal errors simulation and modeling of motorized spindle[J]. Advanced Materials Research, 2011, 154/155: 1305–1309.
SIEMENS. SINUMERIK 840D/840Di/810D, Basic Function [EB/OL]. http://www.siemens.com, 2004.
SIEMENS. SINUMERIK 840D/810D, Tool Management SINTD [EB/OL]. http://www.siemens.com, 2008-03-12.
Author information
Authors and Affiliations
Corresponding author
Additional information
CUI Liangyu, born in 1984, male, doctorate student.
Rights and permissions
About this article
Cite this article
Cui, L., Gao, W., Zhang, D. et al. Thermal error compensation for telescopic spindle of CNC machine tool based on SIEMENS 840D system. Trans. Tianjin Univ. 17, 340–343 (2011). https://doi.org/10.1007/s12209-011-1619-z
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12209-011-1619-z