A digital twin synchronous evolution method of CNC machine tools associated with dynamic and static errors-Reference-Cited by-同舟云学术

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A digital twin synchronous evolution method of CNC machine tools associated with dynamic and static errors

Published:2024-08-26 Issue:5-6 Volume:134 Page:2753-2763
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Sa Guodong,Sun Jiacheng,Hou Mingjie,Jiang Zhengyang,Liu Zhenyu,Mao Haoyang,Huang Kun,He Liang,Tan Jianrong

Funder

National Natural Science Foundation of China

Ningbo Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00170-024-14244-w.pdf

Reference31 articles.

1. Fu GQ, Fu JZ, Xu YT, Chen ZC, Lai JT (2015) Accuracy enhancement of five-axis machine tool based on differential motion matrix: geometric error modeling, identification and compensation. Int J Mach Tool Manuf 89:170–181. https://doi.org/10.1016/j.ijmachtools.2014.11.005

2. Liu JL, Gui HQ, Ma C (2021) Digital twin system of thermal error control for a large-size gear profile grinder enabled by gated recurrent unit. J Amb Intel Hum Comp 14:1269–1295. https://doi.org/10.1007/s12652-021-03378-4

3. Taha HA, Yacout S, Shaban Y (2022) Deep reinforcement learning for autonomous pre-failure tool life improvement. Int J Adv Manuf Tech 121:6169–6192. https://doi.org/10.1007/s00170-022-09700-4

4. Tao F, Qi QL (2019) Make more digital twins. Nature 573:490–491. https://doi.org/10.1038/d41586-019-02849-1

5. Tao F, Sui FY, Liu A, Qi QL, Zhang M, Song BY, Guo ZR, Lu SCY, Nee AYC (2019) Digital twin-driven product design framework. Int J Prod Res 57:3935–3953. https://doi.org/10.1080/00207543.2018.1443229

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