An online monitoring method of milling cutter wear condition driven by digital twin.

Zi X, Gao S, Xie Y

DOI: 10.1038/s41598-024-55551-2
Published: 2024 Feb 29
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-55551-2,
  title = {An online monitoring method of milling cutter wear condition driven by digital twin.},
  author = {Zi X and Gao S and Xie Y},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-55551-2},
  url = {https://doi.org/10.1038/s41598-024-55551-2}
}

RIS

TY  - JOUR
TI  - An online monitoring method of milling cutter wear condition driven by digital twin.
AU  - Zi X
AU  - Gao S
AU  - Xie Y
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-55551-2
UR  - https://doi.org/10.1038/s41598-024-55551-2
ER  -

APA

X, Z., S, G., & Y, X. (2024). An online monitoring method of milling cutter wear condition driven by digital twin.. Scientific reports. https://doi.org/10.1038/s41598-024-55551-2

Source records

pubmed · retrieved 2026-09-25T05:52:40.732Z