Paper Title:
Research on Thermal Error Compensation Technology of Grinding Machine Based on Neural Networks
  Abstract

In order to fulfill the thermal error modeling of precision abrasive machining, a neural networks model is presented through analyzing thermal error sources of the grinding machine, the structure and algorithm of the neural networks is expatiated then;And because of reasonable sample and systematical training, the accuracy of thermal error models is improved. The hardware system for thermal error compensation is proposed finally, and an experiment is accomplished on the grinding machine. The result shows thermal errors is reduced from 6μm to 1μm.

  Info
Periodical
Key Engineering Materials (Volumes 359-360)
Edited by
Jiuhua Xu, Xipeng Xu, Guangqi Cai and Renke Kang
Pages
569-573
DOI
10.4028/www.scientific.net/KEM.359-360.569
Citation
Q. J. Guo, J. G. Yang, X. N. Qi, "Research on Thermal Error Compensation Technology of Grinding Machine Based on Neural Networks ", Key Engineering Materials, Vols. 359-360, pp. 569-573, 2008
Online since
November 2007
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Price
$35.00
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