Advanced Machining Technologies for CVD-SiC: Hybrid Approaches and AI-Enhanced Control for Ultra-Precision

Su-Yeon Han, Seung-Min Lee, Min-Su Jang, Ho-Soon Yang, Tae-Soo Kwak

Open source

DOI: 10.3390/app152412892
Published: 12
Container: Applied Sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/app152412892,
  title = {Advanced Machining Technologies for CVD-SiC: Hybrid Approaches and AI-Enhanced Control for Ultra-Precision},
  author = {Su-Yeon Han and Seung-Min Lee and Min-Su Jang and Ho-Soon Yang and Tae-Soo Kwak},
  year = {2025},
  journal = {Applied Sciences},
  doi = {10.3390/app152412892},
  url = {https://doi.org/10.3390/app152412892}
}

RIS

TY  - JOUR
TI  - Advanced Machining Technologies for CVD-SiC: Hybrid Approaches and AI-Enhanced Control for Ultra-Precision
AU  - Su-Yeon Han
AU  - Seung-Min Lee
AU  - Min-Su Jang
AU  - Ho-Soon Yang
AU  - Tae-Soo Kwak
PY  - 2025
JO  - Applied Sciences
DO  - 10.3390/app152412892
UR  - https://doi.org/10.3390/app152412892
ER  -

APA

Han, S., Lee, S., Jang, M., Yang, H., & Kwak, T. (2025). Advanced Machining Technologies for CVD-SiC: Hybrid Approaches and AI-Enhanced Control for Ultra-Precision. Applied Sciences. https://doi.org/10.3390/app152412892

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doaj · retrieved 2026-11-10T08:38:30.069Z