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Proceedings Paper

Identification of position of key thermal susceptible points for thermal error compensation of machine tool by neural network
Author(s): Dexian Zhang; Xiaolian Liu; Hanming Shi; Ri-Yao Chen
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Paper Abstract

It is very important to determine the thermal susceptible points accurately in thermal error compensation of a machine tool. These points would be used to arrange temperature measurement points and compensation thermal sources. In this paper, based on the study of relationship between temperature change and thermal deform of a machine tool, a new method to identify the position of these points by neural network has been proposed. The method uses neural network to establish a model which represents the relationship between thermal displacement and temperature of measurement points according to experimental data, then uses the derivative of thermal error to temperature change of every measurement point obtained from that model to identify the position of these thermal susceptible points. The practical application proves this method to be very effective.

Paper Details

Date Published: 28 August 1995
PDF: 5 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217535
Show Author Affiliations
Dexian Zhang, Huazhong Univ. of Science and Technology (China)
Xiaolian Liu, Huazhong Univ. of Science and Technology (China)
Hanming Shi, Huazhong Univ. of Science and Technology (China)
Ri-Yao Chen, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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