Prediction of CNC Thermal Deformation Based on the Compensation Fuzzy Neural Network

A new predictive model has proposed based on compensation fuzzy neural networks for thermal error in NC machine tools . The structure of model , fuzzy rule , training algorithm and some technological problems are discussed.And the result of intelligent prediction and accuracy evaluation are given.

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 395-396; pp. 1218 - 1221
Main Authors Zhu, Xiu Feng, Liu, Cheng Lin, Yu, Jin, Shi, Yu Xiang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 03.09.2013
Subjects
NC Machine Tool
Thermal Error Predictive
Compensation Fuzzy Neural Networks
Modeling
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Summary:A new predictive model has proposed based on compensation fuzzy neural networks for thermal error in NC machine tools . The structure of model , fuzzy rule , training algorithm and some technological problems are discussed.And the result of intelligent prediction and accuracy evaluation are given.
Bibliography:Selected, peer reviewed papers from the 3rd International Conference on Advanced Design and Manufacturing Engineering (ADME 2013), 13-14 July, 2013, Anshan, China
ISBN:9783037858424
3037858427
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.395-396.1218