Research on Thermal Error Modeling of NC Machine Tool Based on BP Neural Networks

被引：3

作者：

Guo, Q. J. ^{[1
]}

Qi, X. N. ^{[2
]}

机构：

[1] Shandong Univ Technol, Sch Mech Engn, Zibo, Peoples R China

[2] Shandong Univ Technol, Coll Traff Vehide Engn, Zibo, Peoples R China

来源：

ADVANCES IN MATERIALS MANUFACTURING SCIENCE AND TECHNOLOGY XIII, VOL 1: ADVANCED MANUFACTURING TECHNOLOGY AND EQUIPMENT, AND MANUFACTURING SYSTEMS AND AUTOMATION | 2009年 / 626-627卷

关键词：

NC machine tool; thermal error modeling; neural network; COMPENSATION;

D O I：

10.4028/www.scientific.net/MSF.626-627.135

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Through analysis of the thermal errors affected NC machine tool, a new prediction model based on BP neural networks is presented, and ant colony algorithm is applied to train the weights of neural network model. Finally, thermal error compensation experiment is implemented, and the thermal error is reduced from 35 mu m to 6 mu m The result shows that the local minimum problem of BP neural network is overcome, and the model accuracy is improved.

引用

页码：135 / +

页数：2

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