Thermal error analysis for a CNC lathe feed drive system

1999 ◽  
Vol 39 (7) ◽  
pp. 1087-1101 ◽  
Author(s):  
Won Soo Yun ◽  
Soo Kwang Kim ◽  
Dong Woo Cho
2016 ◽  
Vol 679 ◽  
pp. 19-22
Author(s):  
W.C. Peng ◽  
Su Juan Wang ◽  
Hong Jian Xia

Thermal errors cause serious dimensional errors to a workpiece in precision machining. A feed drive system generates more heat through friction at contact areas, such as the Linear encoder and the guide, thereby causing thermal expansion which affects machining accuracy. Therefore, the thermal deformation of a Linear encoder is one of the most important objects to consider for high-accuracy machine tools. This paper analyzes the increase of the temperature and the thermal deformation of a Linear encoder feed drive system. During temperature variation is measured by using thermocouples , meanwhile, the thermal error of the guide is measured by a laser interferometer. A thermal error model is proposed in this study by using back propagation neural network (BPN). An experiment is carried out to verify the thermal error of the guide under different feed rates and environmental temperature.


Author(s):  
Jun Zhang ◽  
Bo Li ◽  
Changxing Zhou ◽  
Wanhua Zhao

For semi-closed-loop computer numerical control machine tool, the pitch error of screw caused by thermal expansion can deteriorate the positioning accuracy of ball screw feed drive system. This study presents different prediction models for positioning error of ball screw feed drive system based on the mounting condition, where the total error is separated into geometric error and thermal error. The coefficients in the model are identified using the multiple linear regression method. The prediction model is validated and the error compensation is also done for the X axis of a three-axis computer numerical control milling machine. The test results show that the model developed can well predict the thermal error under any given temperature as well as position during the temperature rising process of ball screw, and it can greatly improve the system positioning accuracy through compensation.


2015 ◽  
Vol 20 (4) ◽  
pp. 1966-1974 ◽  
Author(s):  
Wonkyun Lee ◽  
Chan-Young Lee ◽  
Young Hun Jeong ◽  
Byung-Kwon Min

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