Abstract
Thermal deformation is a nonlinear dynamic phenomenon and is one of the significant factors for the accuracy of machine tools. In this study, a dynamic feed-forward neural network model is built to predict the thermal deformation of machine tool. The temperatures and thermal deformations data at present and past sampling time interval are used train the proposed neural model. Thus, it can model dynamic and the nonlinear relationship between input and output data pairs. According to the comparison results, the proposed neural model can obtain better predictive accuracy than that of some other neural model.
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References
Bryan, J.: International Status of Thermal Error Research. Annals of the CIRP 39, 645–656 (1990)
Donmez, M.A., Blomquist, R.J., Hocken, R.J., Liu, C.R., Barash, M.M.: A General Methodology for Machine Tool Accuracy Enhancement by Error Compensation. Precision Engineering 8(4), 187–195 (1986)
Chen, J.S., Yuan, J.X., Ni, J., Wu, S.M.: Real-time Compensation for Time-variant Volumetric Errors on a Machining Center. Journal of Engineering Industry 115, 472–479 (1993)
Freeman, J.A., Skapura, D.M.: Neural Networks Algorithms, Applications, and Programming Techniques. Addison Wesley, New York (1992)
Hattori, M., Noguchi, H., Ito, S., Suto, T., Inoue, H.: Estimation of Thermal Deformation in Machine Tools Using Neural Network Technique. Journal of Materials Processing Technology 56, 765–772 (1996)
Chen, J.S.: Neural Network-based Modelling and Error Compensation of Thermally-induced Spindle Errors. The International Journal of Advanced Manufacturing Technology 12, 303–308 (1996)
Baker, K., Rao, B.K.N., Hope, A.D., Noroozi, S.: Performance Monitoring of a Machining Centre. In: IEEE, Instrumentation and Measurement Technology Conference, pp. 853–858 (1996)
Yang, H., Ni, J.: Dynamic Modeling for Machine Tool Thermal Error Compensation. Journal of Manufacturing Science and Engineering 125, 245–254 (2003)
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© 2006 Springer-Verlag Berlin Heidelberg
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Chang, CW., Kang, Y., Chen, YW., Chu, MH., Wang, YP. (2006). Thermal Deformation Prediction in Machine Tools by Using Neural Network. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893257_94
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DOI: https://doi.org/10.1007/11893257_94
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46481-5
Online ISBN: 978-3-540-46482-2
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