The thermal drift modeling of spindle system based on a physical driven deformation methodology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00170-023-12720-3.pdf
Reference24 articles.
1. Zhang Lx, Li Cq, Li Jp, Zhang K, Wu Yh (2017) Temperature rise prediction model of high-speed and high-precision motorized spindle. Int J Mech Eng 53(23):129–136. https://doi.org/10.1016/j.csite.2021.101056
2. Ibaraki S, Inui H, Hong C, Nishikawa S, Shimoike M (2019) On-machine identification of rotary axis location errors under thermal influence by spindle rotation. Int J Precis Eng 55:42–47. https://doi.org/10.1016/j.precisioneng.2018.08.005
3. Li Y, Wei WM, Su DX, Zhao WH, Zhang J, Wu WW (2018) Thermal error modeling of spindle based on the principal component analysis considering temperature-changing process. Int J Adv Manuf Techol 99(5–8):1341–1349. https://doi.org/10.1007/s00170-018-2482-z
4. Li D, Feng P, Zhang J, Wu ZJ, Yu DW (2015) Method for modifying convective heat transfer coefficients used in the thermal simulation of a feed drive system based on the response surface methodology. Int J Numer Heat Tran Part A: Applications 69(1):51–66. https://doi.org/10.1080/10407782.2015.1037130
5. Liu K, Han W, Wang YQ (2021) Review on thermal error compensation for axes of CNC machine tools. Int J Mech Eng 57:156–173
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