Thermal Error Modeling of a Machining Center using Grey System Theory and HGA-Trained Neural Network

2006 ◽  
Author(s):  
Kun-chieh Wang
Keyword(s):  
Neural Network ◽  
System Theory ◽  
Thermal Error ◽  
Grey System Theory ◽  
Error Modeling ◽  
Grey System ◽  
Thermal Error Modeling ◽  
Machining Center ◽  
Trained Neural Network

Study of the Thermal Error Robust Modeling of 2-Axes Machine Tools Based on the Grey System Theory

2010 ◽  
Vol 426-427 ◽  
pp. 674-677
Author(s):  
Xiu Shan Wang ◽  
Li Yan ◽  
Ling Wang ◽  
De Jun Kong
Keyword(s):  
System Theory ◽  
Machine Tools ◽  
Thermal Error ◽  
Grey System Theory ◽  
Error Modeling ◽  
Field Analysis ◽  
Grey System ◽  
Thermally Induced ◽  
Final Error ◽  
Thermal Error Model

Thermally induced errors can contribute as much as 70% of the final error of the part dimensions produced on machine tools [1-5]. Thermal errors of machine tools can be treated as the superposition of a series of the errors coming from different heat source. 4 key temperature points of a turning lathe were obtained based on the temperature field analysis. A novel thermal error model on the basis of grey system theory was proposed. The basic principle and method of grey system model and its application in thermal error modeling on machine tools had been presented briefly.

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