Research on Thermal Error Modeling of YK3610 Hobbing Machine

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Thermal error modeling. Neural network. Gear hobbing machine. Error compensation. Abstract. Four key thermal sources of YK3610 hobbing machine were selected in this paper, and a thermal error model based on the four temperature variables was proposed by using back propagation neural network. A thermal error compensation system was developed based on the proposed model, and which has been applied to the YK3610 hobbing machine in daily production. The result shows that the prediction accuracy of thermal deformation in the YK3610 hobbing machine has been improved.

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293-296

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] J.X. Yuan, J. Ni: Mechatronics Vol. 8 (1998), p.359

Google Scholar

[2] J.G. Yang, Y.Q. Ren and Z.C. Du: Journal of Materials Processing Technology Vol. 129 (2002), p.474

Google Scholar

[3] Y. Kang, C.W. Chang: International Journal of Machine Tools and Manufacture Vol. 47 (2007), p.376

Google Scholar

[4] J.H. Lee, S.H. Yang: International Journal of Machine Tools and Manufacture Vol. 42 (2002), p.147

Google Scholar

[5] H. Yang, J. Ni: International Journal of Machine Tools and Manufacture Vol. 45 (2005), p.455

Google Scholar

[6] X.D. Liu, Q.F. Sha and Y.K. Liu: Computer Engineering Vol. 32 (2006), p.201

Google Scholar