Original Article
  • A Novel Deep Learning Approach for Evaluating Fiber and Void Volume Fractions in Unidirectional Carbon Fiber Reinforced Plastic (CFRP)
  • Joong-Tak Back*, Su-Jeong Choi*, Jun-Soong Lee*, Ji-Hun Mun*, Jong-Kwan Park**, Sungwook Joo*†

  • *HYBRID Technology Lab, Gyeongbuk Technopark, Korea
    **TAE SUNG S&E INC, Korea

  • 단방향 CFRP의 섬유 및 기공 체적율 평가를 위한 딥러닝 기반 이미지 분석 기법 연구
  • 백중택* · 최수정* · 이준숭* · 문지훈* · 박종관** · 주성욱*†

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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This Article

Correspondence to

  • Sungwook Joo
  • HYBRID Technology Lab, Gyeongbuk Technopark, Korea

  • E-mail: jsw@gbtp.or.kr