Thermal error modeling and compensation for a high-speed motorized spindle

2014 ◽  
Vol 77 (5-8) ◽  
pp. 1005-1017 ◽  
Author(s):  
Jun Yang ◽  
Hu Shi ◽  
Bin Feng ◽  
Liang Zhao ◽  
Chi Ma ◽  
...  
2010 ◽  
Vol 129-131 ◽  
pp. 556-560 ◽  
Author(s):  
Chun Li Lei ◽  
Zhi Yuan Rui

In a lot of factors, thermal deformation of motorized high-speed spindle is a key factor affecting the manufacturing accuracy of machine tool. In order to reduce the thermal errors, the reasons and influence factors are analyzed. A thermal error model, that considers the effect of thermodynamics and speed on the thermal deformation, is proposed by using genetic algorithm-based radial basis function neural network. The improved neural network has been trained and tested, then a thermal error compensation system based on this model is established to compensate thermal deformation. The experiment results show that there is a 79% decrease in motorized spindle errors and this model has high accuracy.


2012 ◽  
Vol 65 (1-4) ◽  
pp. 443-450 ◽  
Author(s):  
Jingshu Wang ◽  
Changan Zhu ◽  
Mingchi Feng ◽  
Wenqi Ren

2021 ◽  
Vol 29 (11) ◽  
pp. 2649-2660
Author(s):  
Xin-yuan WEI ◽  
◽  
Yu-chen CHEN ◽  
En-ming MIAO ◽  
Xu-gang FENG ◽  
...  

2020 ◽  
Vol 1576 ◽  
pp. 012003
Author(s):  
Peiwen Li ◽  
Ping Lou ◽  
Junwei Yan ◽  
Nianyun Liu

Sign in / Sign up

Export Citation Format

Share Document