DocumentCode :
551562
Title :
Application of neural network for thermal error compensation in CNC machine tool
Author :
Nie, Xuejun
Author_Institution :
Coll. of Mater. & Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Volume :
1
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
211
Lastpage :
215
Abstract :
With the structure design and manufacture of CNC machine tool becoming more and more perfect, its geometry errors have been controlled, thermal error generated by thermal deformation of CNC machine tool is the main error, which has strongly influence on the CNC machine tool´s process precision. Thermal error compensation is an important method for increasing the process precision of CNC machine tool, and the neural networks technology is the major tool in thermal error modeling and compensation. In this paper, some applications of neural networks in thermal error modeling and compensation are introduced, and they are demonstrated by examples, the results prove that researches on artificial neural networks and relative algorithms have good effects on CNC machine tool´s thermal error modeling and compensation.
Keywords :
civil engineering computing; computerised numerical control; deformation; machine tools; neural nets; precision engineering; CNC machine tool; artificial neural networks; geometry errors; neural networks; process precision; thermal deformation; thermal error compensation; thermal error modeling; Bayesian methods; Computer numerical control; Data models; Error compensation; Machine tools; Prediction algorithms; Predictive models; CNC machine; Compensation; Modeling; Neural network; Thermal error;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9599-3
Type :
conf
DOI :
10.1109/CCIENG.2011.6007995
Filename :
6007995
Link To Document :
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