Simulation, Experiment and Optimization for Thermal Characteristics of a Machine Tool Spindle System

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Taking a vertical machining center as an example, thermal characteristics of the spindle system were researched by finite element simulation and experimental test. Firstly, temperature field and thermal deformation of the spindle system were simulated considering boundary conditions of the finite element model, such as heat sources, convective heat transfer coefficients and thermal contact resistances between joints. Accuracy of the simulation was verified compared with test. The results shows that key areas of temperature rise locate at spindle bearing; thermal deformation of Y and Z directions are large; thermal characteristics of the spindle system has little influence on other parts. Thermal characteristics of the spindle system were optimized by changing structures and sizes of the cooling passage located at the headstock, and effectiveness of the optimization was verified by finite element simulation. The research results provide guidance for thermal characteristic simulation and optimization of a machining center.

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403-410

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May 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. Wu, H. T. Zhang, Q. J. Guo, X. S. Wang and J. G. Yang, Thermal error optimization modeling and real-time compensation on a CNC turning center, J. Mater. Process. Tech., 207, (2007) 172-179.

Google Scholar

[2] E. Creighton, A. Honegger, A. Tulsian and D. Mukhopadhyay, Analysis of thermal errors in a high-speed micro-milling spindle, Int. J. Mach. Tool. Manu. 50, (2010) 386-393.

DOI: 10.1016/j.ijmachtools.2009.11.002

Google Scholar

[3] H. T. Zhao, J. G. Yang and J. H. Shen, Simulation of thermal behavior of a CNC machine tool spindle, Int. J. Mach. Tool. Manu. 47, (2007) 1003-1010.

Google Scholar

[4] K. Yuan, C. W. Chang, Y. Huang, C. L. Hsu and I. F. Nieh, Modification of a neural network utilizing hybrid filters for the compensation of thermal deformation in machine tools, Int. J. Mach. Tool. Manu. 47, (2007) 376-387.

DOI: 10.1016/j.ijmachtools.2006.03.007

Google Scholar

[5] D. X. Cheng, Handbook of mechanical design, fifth ed., Chemical Industry Press, Beijing, 2010. (in Chinese).

Google Scholar

[6] T. A. Harris, Rolling bearing analysis, J. Wiley, New York, (1991).

Google Scholar

[7] D. X. Li, P. F. Feng, J. F. Zhang, Z. J. Wu, and D. W. Yu, Calculation method of convective heat transfer coefficients for thermal simulation of a spindle system based on RBF neural network, Int J Adv Manuf Technol, 70, (2014) 1445-1454.

DOI: 10.1007/s00170-013-5386-y

Google Scholar

[8] Chen Z. N. and Z. C. Chen, Fundamentals of machine tool thermal characteristics, China Machine Press, Beijing, 1989. (In Chinese).

Google Scholar

[9] H. L. Zhao, Y. M. Huang, J.L. XU, L. Y. Jiang, W. H. Zhang and B. H. Sheng. Experiment Research on Thermal Contact Resistance of Normal Used Joints, J Xi'an Univ, 15, (1999) 26-29. (In Chinese).

Google Scholar