Thermal error modeling of gear hobbing machine based on IGWO-GRNN

2020 ◽  
Vol 106 (11-12) ◽  
pp. 5001-5016 ◽  
Author(s):  
Zihui Liu ◽  
Bo Yang ◽  
Chi Ma ◽  
Shilong Wang ◽  
Yefeng Yang
Keyword(s):  
Thermal Error ◽  
Error Modeling ◽  
Thermal Error Modeling ◽  
Gear Hobbing

Application of ICA Method to Thermal Error Modeling of Gear Hobbing Machine

2007 ◽  
Vol 24-25 ◽  
pp. 309-314 ◽  
Author(s):  
Qian Jian Guo ◽  
Jian Guo Yang ◽  
Xiu Shan Wang
Keyword(s):  
Thermal Error ◽  
Error Modeling ◽  
Machining Accuracy ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Thermal Error Modeling ◽  
Hardware System ◽  
Pitch Error ◽  
Gear Hobbing ◽  
Independent Component Analysis Method

Based on the synthetic analysis of thermal error sources, ICA (Independent component analysis) method is proposed to reduce the number of temperature sensor, and the selected temperature variables is used for thermal error modeling of gear hobbing machine. Finally, the hardware system of thermal error compensation is presented based on SCM (Single chip microcomputer) technique, and which is tested on Y3150K hobbing machine then. The results show that cumulative pitch error is reduced from 80μmto 20μm, and the machining accuracy is improved more than 2 grades.

Clustering Regression Modeling for Gear Hobbing Machine Thermal Error Compensation

2009 ◽  
Vol 416 ◽  
pp. 401-405
Author(s):  
Qian Jian Guo ◽  
Xiao Ni Qi
Keyword(s):  
Error Compensation ◽  
Thermal Error ◽  
Regression Modeling ◽  
Error Model ◽  
Error Modeling ◽  
Machining Accuracy ◽  
Thermal Error Modeling ◽  
Gear Hobbing ◽  
Thermal Error Model ◽  
Thermal Error Compensation

This paper proposes a new thermal error modeling methodology called Clustering Regression Thermal Error Modeling which not only improves the accuracy and robustness but also saves the time and cost of gear hobbing machine thermal error model. The major heat sources causing poor machining accuracy of gear hobbing machine are investigated. Clustering analysis method is applied to reduce the number of temperature sensors. Least squares regression modeling approach is used to build thermal error model for thermal error on-line prediction of gear hobbing machine. Model performance evaluation through thermal error compensation experiments shows that the new methodology has the advantage of higher accuracy and robustness.

Thermal error modeling and compensation of long-travel nanopositioning stage

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

Application of principal component algorithm in spindle thermal error modeling of CNC machine tools

2021 ◽  
Vol 29 (11) ◽  
pp. 2649-2660
Author(s):  
Xin-yuan WEI ◽  
◽  
Yu-chen CHEN ◽  
En-ming MIAO ◽  
Xu-gang FENG ◽  
...  
Keyword(s):  
Machine Tools ◽  
Thermal Error ◽  
Principal Component ◽  
Error Modeling ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Thermal Error Modeling

scholarly journals The Thermal Error Modeling with Deep Transfer Learning

2020 ◽  
Vol 1576 ◽  
pp. 012003
Author(s):  
Peiwen Li ◽  
Ping Lou ◽  
Junwei Yan ◽  
Nianyun Liu
Keyword(s):  
Transfer Learning ◽  
Thermal Error ◽  
Error Modeling ◽  
Thermal Error Modeling
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