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

Xintian Zi, Shangshang Gao, Yang Xie

Open source

DOI: 10.1038/s41598-024-55551-2
Published: 2024-02-29
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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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 = {Xintian Zi and Shangshang Gao and Yang Xie},
  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  - Xintian Zi
AU  - Shangshang Gao
AU  - Yang Xie
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-55551-2
UR  - https://doi.org/10.1038/s41598-024-55551-2
ER  -

APA

Zi, X., Gao, S., & Xie, Y. (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

crossref · retrieved 2026-11-05T11:08:17.196Z