Abstract
Titanium alloys and other difficult-to-machine materials are machined using large-torque CNC machine tools, and asymmetric mechanical spindle is employed in its spindle system. The mechanical spindle demonstrates high power and large torque. The asymmetric design makes the spindle structure more compact while reducing assembly requirements. Nevertheless, when processed, the asymmetric spindle shows complex thermal characteristics and makes it difficult to ensure real-time control, which easily results in significant errors for parts. To eliminate the uncontrollable thermal error, the efforts are made as follows. Firstly, the cold state and hot state attributes in thermal error analysis of mechanical spindle are defined, and the method to distribute the measuring position of asymmetric mechanical spindle temperature is proposed. Secondly, a three-dimensional space detection and analysis method for thermal error of six-vector eight-test based on rotation error vector and deviation error vector is suggested. Thirdly, according to the experimental results, the six-vector thermal error of the three-dimensional space is determined, and then a thermal error compensation technology based on Siemens space coordinate transformation parameters is proposed. Finally, the S specimen recommended by ISO 10791-1-annex A was used for machining verification before and after thermal error compensation. By comparing the 0.129 mm deviation before compensation and the 0.085 mm deviation after compensation, the machining accuracy of parts is discovered to improve by 34.1%. Therefore, the above research lays a theoretical foundation for the follow-up thermal error detection and compensation for the asymmetric spindle of large torque CNC machine tools of the same type.
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References
Mayr J, Jedrzejewski J, Uhlmann E, Donmez MA, Knapp W, Härtig F, Wendt K, Moriwaki T, Shore P, Schmitt R, Brecher C, Würz T, Wegener K (2012) Thermal issues in machine tools. CIRP Ann Manuf Technol 61(2):771–791
Li Y, Zhao W, Lan S, Ni J, Wu W, Lu B (2015) A review on spindle thermal error compensation in machine tools. Int J Mach Tool Manu 95:20–38
Wu CH, Kung Y-T (2003) Thermal analysis for the feed drive system of a CNC machine center. Int J Mach Tool Manuf 43(15):1521–1528
Franke M, Hartig F, Wendt K (2010) Measuring large 3D structures using a portable 4-arm laser interferometer. Adv Metreorol:35–42
Li Y, Zhao W (2012) Axial thermal error compensation method for the spindle of a precision horizontal machining center. https://doi.org/10.1109/ICMA.2012.6285706
Sun J, Kong, Zhang, Wu (2017) Experimental study on thermal error measurement of spindle system of boring and milling machining center. J Shenyang Jianzhu Univ Nat Sci Ed 33(6):1107–1115
Liu Q, Chen T, Lou P, Yan J, Hu J, Xiao A, (2018) Selection of key temperature measuring points for thermal error modeling of CNC machine tools. J Adv Mech Des Syst 12(7)
Wang Q, Zhang S, Chen Y, Zhang Q, Zhao B (2014) Sensitivity analysis of temperature measuring points for machine tool spindle based on grey system theory. in 2014. https://doi.org/10.4028/www.scientific.net/MSF.800-801.720
Liu MY, Zhang E, Zhou Z, Tan Y, Liu Y (2013) Measurement of temperature field for the spindle of machine tool based on optical fiber bragg grating sensors. Adv Mech Eng 2013:940626
Tan J-c, Kang, Fu (2011) FEA of thermal-structural and dynamic characteristic of high-speed spindle. in 2011. https://doi.org/10.1109/CECNET.2011.5769107
Hu S, Zhang D, Yang J, Ma C, Mei X, Gong G (2016) Experiment-based thermal error modeling method for dual ball screw feed system of precision machine tool. Int J Adv Manuf Technol 82(9):1693–1705
Sitong X, Lu H, Yang J (2015) Thermal error prediction method for spindles in machine tools based on a hybrid model. Proc Inst Mech Eng B J Eng 229(1):130–140
Zhao H, Yang, Shen (2007) Simulation of thermal behavior of a CNC machine tool spindle. Int J Mach Tool Manuf 47(6):1003–1010
Kaiguo F, Yang J, Yang L (2013) Orthogonal polynomials-based thermally induced spindle and geometric error modeling and compensation. Int J Adv Manuf Technol 65(9):1791–1800
Zhu X, Xiang, Yang (2015) Novel thermal error modeling method for machining centers. Proc Inst Mech Eng C J Mech 229(8):1500–1508
Abdulshahed AM, Longstaff AP, Fletcher S (2015) The application of ANFIS prediction models for thermal error compensation on CNC machine tools. Appl Soft Comput 27:158–168
Zhu L, Cao Z, Yang L (2017) Multi-variable driving thermal energy control model of dry hobbing machine tool. Int J Adv Manuf Technol 92(1):259–275
Su H, Lu L, Liang Y, Zhang Q, Sun Y (2014) Thermal analysis of the hydrostatic spindle system by the finite volume element method. Int J Adv Manuf Technol 71(9):1949–1959
Mori M, Mizuguchi, Fujishima, Ido, Mingkai, Konishi (2009) Design optimization and development of CNC lathe headstock to minimize thermal deformation. CIRP Ann Manuf Technol 58(1):331–334
Eskandari S, Arezoo, Abdullah (2013) Positional, geometrical, and thermal errors compensation by tool path modification using three methods of regression, neural networks, and fuzzy logic. Int J Adv Manuf Technol 65(9):1635–1649
Wang L, Wang H, Li T, Li F (2015) A hybrid thermal error modeling method of heavy machine tools in z-axis. Int J Adv Manuf Technol 80(1):389–400
Liang Y, Su, Lu, Chen, Sun, Zhang (2015) Thermal optimization of an ultra-precision machine tool by the thermal displacement decomposition and counteraction method. Int J Adv Manuf Technol 76(1–4):635–645
Wang W, Tao, Li (2017) Research on characteristic of test specimen for five—axis CNC machine tools. J Mech Eng 53(1):101–109
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The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work is supported by the Major Project of National Science and Technology (Grant No. 2017ZX04002001).
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Zhao, C., Xia, Y., Chen, X. et al. Thermal error detection and compensation technology for spindle of horizontal CNC machine tool with large torque. Int J Adv Manuf Technol 107, 85–96 (2020). https://doi.org/10.1007/s00170-020-05015-4
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DOI: https://doi.org/10.1007/s00170-020-05015-4