Research on the Stiffness Modeling of the High Precision Positioning Platform under the Thermal Model

Jian Li; Ji Zhu Liu; Wen Wen Zhang; Li Guo Chen; Ming Qiang Pan; Tao Chen; Yang Jun Wang; Li Ning Sun

doi:10.4028/www.scientific.net/AMM.713-715.789

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Research on the Stiffness Modeling of the High...

Research on the Stiffness Modeling of the High Precision Positioning Platform under the Thermal Model

Abstract:

The heat of the positioning platform is mainly caused by conduction of each functional unit, when it affected by the influence of internal and external heat source at work, the temperature of units would change, and the condition would make the platform component stiffness change, then lead to positioning platform dynamic characteristics change. In this paper, the finite method analysis platform dynamic connection stiffness with the regularity of temperature change, and by using the grey correlation method to optimize the platform stiffness influence of the four largest temperature sampling point, through the neural network modeling method to establish high precision positioning platform stiffness model, provide theory for the research on platform of dynamic characteristics of the model.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

789-794

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.789

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Online since:

January 2015

Authors:

Jian Li*, Ji Zhu Liu, Wen Wen Zhang, Li Guo Chen, Ming Qiang Pan, Tao Chen, Yang Jun Wang, Li Ning Sun

Keywords:

Finite Element, Grey System, Precision Positioning Platform, Stiffness

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References

[1] BryanJ.B. International Status of Thermal Error Research. Annals of CIRP[J], 1990，39(2): 645~656.

Google Scholar

[2] S. H. Hao, J. Z. Liu, M. H. Hao, et al. Design of High Precision Magnetic Grid Displacement Sensor. Proceedings of 2008 IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan, August, 2008: 185~188. （EI Compendex 20091712055129）.

DOI: 10.1109/icma.2008.4798748

Google Scholar

[3] S. H. Hao, J. Z. Liu,B. Y. Song, et al. Research on the Thermal Error of the 3D-coordinate Measuring Machine Based on the Finite Element Method. International Conference on Intelligent Robotics and Applications, Wuhan, China, October, 2008: 440~448. （EI Compendex 084911762337）.

DOI: 10.1007/978-3-540-88518-4_47

Google Scholar

[4] S. H. Hao, J. Z. Liu,Y. Liu, et al. The Design of New Type Absolute Magnetic Grid Displacement Sensor. High Voltage Technology. 2009, 35(9): 2120~2125. （EI Compendex EI 20101412827532）.

Google Scholar

[5] Youxin Luo, Longting Zhang, Min Li. Grey systems theory and application in Mechanic engineering[M]. National University of Defense Technology press, (2001).

Google Scholar

[6] GuoliangLiu, HongtaoZhang, HongtaoCao, etal. Study on the application of the neural network theories in theNC machine tool error modeling[J]. Numerical Control Process Technology, 2005(8): 20-23.

Google Scholar