Abstract
The machine tool’s temperature spectrum can be defined as the relationship curves between the thermal parameters and the temperature rise of a machine. In this paper, the relationships between the thermal deformation and the temperature rise as well as the heat flux and the temperature rise are studied using the theoretical method, the finite element method, and the experimental method. The results show that there is a linear relationship between the thermal deformation and the temperature rise at the point of golden section. And this linear relationship still holds between the heat flux and the temperature rise. What’s more, the linear relationship does not change when the thermal contact resistance changes. To realize the real-time monitoring of the thermal deformation and the temperature rise of a machine tool, a correction model is established using the measured temperature to real-timely correct the heat flux, an online monitoring application is designed based on the correction model to realize the real-time prediction of the thermal deformation and the temperature rise of a machine tool. To verify the monitoring accuracy of the online monitoring application, an experiment is carried out in a gear form grinding machine. The experimental results show that the prediction accuracy of the online monitoring application is greater than 90%. It is useful for the thermal deformation control, optimization, and compensation.
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References
Chen JS, Yuan JX, Ni J et al (1993) Real-time compensation for time-variant volumetric errors on a machining center [J]. Transactions of the ASME Journal of Engineering for Industry 115(4):472–479
Tseng PC (1997) A real-time thermal inaccuracy compensation method on a machining center [J]. Int J Adv Manuf Technol 13(3):182–190
Lu Y, Islam MN (2012) A new approach to thermally induced volumetric error compensation [J]. Int J Adv Manuf Technol 62(9–12):1071–1085
Zhang Y, Yang J, Xiang S et al (2013) Volumetric error modeling and compensation considering thermal effect on five-axis machine tools [J]. Proc Inst Mech Eng C J Mech Eng Sci 227(5):1102–1115
Chen JS (1996) Neural network-based modeling and error compensation of thermally-induced spindle errors [J]. Int J Adv Manuf Technol 12(4):303–308
Yang S, Yuan J, Ni J (1996) The improvement of thermal error modeling and compensation on machine tools by CMAC neural network [J]. Int J Mach Tools Manuf 36(4):527–537
Mize CD, Ziegert JC (2000) Neural network thermal error compensation of a machining center [J]. Precis Eng 24(4):338–346
Li X (2001) Real-time prediction of workpiece errors for a CNC turning center,part 2: modeling and estimation of thermally induced errors [J]. Int J Adv Manuf Technol 17(9):654–658
Guo Q, Yang J, Wu H (2010) Application of ACO-BPN to thermal error modeling of NC machine tool [J]. Int J Adv Manuf Technol 50(5):667–675
Lu Y, Yang J, Gelvis T et al (2008) Optimization of measuring points for machine tool thermal error based on grey system theory [J]. Int J Adv Manuf Technol 35(7–8):745–750
Yan J, Yang J (2009) Application of synthetic grey correlation theory on thermal point optimization for machine tool thermal error compensation [J]. Int J Adv Manuf Technol 43(11–12):1124–1132
Han J, Wang L, Cheng N et al (2012) Thermal error modeling of machine tool based on fuzzy c-means cluster analysis and minimal-resource allocating networks [J]. Int J Adv Manuf Technol 60(5–8):463–472
Wang H, Wang L, Li T et al (2013) Thermal sensor selection for the thermal error modeling of machine tool based on the fuzzy clustering method [J]. Int J Adv Manuf Technol 69(1–4):121–126
Yang JG, Yuan JX, Ni J (1999) Thermal error mode analysis and robust modeling for error compensation on a CNC turning center. International Journal of Machine Tools & Manufacture 39:1367–1381
Fan KG, Yang JG, Yao XD, Wang W, Jiang H (2011) Error compensation for shaft parts in batch manufacture based on Newton interpolation. Chinese Journal of Mechanical Engineering 47:112–116
Zheng FQ, Yang JG, Li BZ, Yan RZ, Xu Y (2008) Research on micro-feeding system applied to grinder. Manufacturing Technology & Machine Tool 8:12–15
Fan KG, Yang JG, Yang LY (2014) Unified error model based spatial error compensation for four types of CNC machining center: part II—unified model based spatial error compensation. Mech Syst Signal Process 49(1–2):63–76
Kim SK, Cho AW (1997) Real-time estimation of temperature distribution in a ball screw system. International Journal of Machine Tools & Manufacture 37:451–464
Zhao HT, Yang JG, Shen JH (2007) Simulation of thermal behavior of a CNC machine tool spindle. International Journal of Machine Tools & Manufacture 47:1003–1010
Horejs O (2007) Thermo-mechanical model of ball screw with non-steady heat sources [C]. International Conference on Thermal Issues in Emerging Technologies-Theory and Applications 2007:126–130
Xu M, Jiang S (2011) A thermal model of a ball screw feed drive system for a machine tool [J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science 225(C1):186–193
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Fan, K. Research on the machine tool’s temperature spectrum and its application in a gear form grinding machine. Int J Adv Manuf Technol 90, 3841–3850 (2017). https://doi.org/10.1007/s00170-016-9722-x
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DOI: https://doi.org/10.1007/s00170-016-9722-x