Data-driven thermal error modeling based on a novel method of temperature measuring point selection-Reference-Cited by-同舟云学术

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Data-driven thermal error modeling based on a novel method of temperature measuring point selection

Published:2024-02-14 Issue:3-4 Volume:131 Page:1823-1848
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Liu Haiyang,Deng Haigang,Feng Xianying,Liu Yandong,Li Yanfei,Yao Ming

Funder

National Natural Science Foundation of China

Key Research and Development Plan of Shandong Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00170-024-13192-9.pdf

Reference45 articles.

1. Miao H, Wang C, Li C, Song W, Zhang X, Xu M (2023) Nonlinear dynamic modeling and vibration analysis of whole machine tool. Int J Mech Sci 245:108122

2. Yi J, Jin T, Zhou W, Deng Z (2020) Theoretical and experimental analysis of temperature distribution during full tooth groove form grinding. J Manuf Process 58:101–115

3. Islam MN, Lee HU, Cho D-W (2008) Prediction and analysis of size tolerances achievable in peripheral end milling. Int J Adv Manuf Technol 39(1):129–141

4. Liu H, Miao E, Zhuang X, Wei X (2018) Thermal error robust modeling method for CNC machine tools based on a split unbiased estimation algorithm. Precis Eng 51:169–175

5. Zhao Z, Huang N, Zhong L, Du Z, Ibaraki S, Zhu L (2023) On-machine measurement of thermal influence of the long-span crossbeam of gantry machine tools using a 3D laser profiler. Precis Eng 82:52–61

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