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지도학습 기반 분할기법을 이용한 단층 촬영된 단방향 복합재료의 유한요소모델 생성 및 검증

Generation and Validation of Finite Element Models of Computed Tomography for Unidirectional Composites Using Supervised Learning-based Segmentation Techniques

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참고문헌

키워드

주제분류재료공학

초록

본 연구에서는 지도학습 기반 세분화기법을 이용하여 단층촬영된 단방향 복합재료의 유한요소모델링을 실시하였다. 우선, 단방향 복합재료의 형상 정보를 얻기 위해 Micro-CT 스캔을 수행하여 단방향 복합재료의 순수 체적(raw volume)을 획득하였고 여기에 몇 개의 단면을 선택하여 재료의 마이크로 구조인 섬유의 형상을 라벨링하였다. 이후 재료의 단면 이미지와 라벨링한 이미지를 각각 입출력으로 U-net 모델을 훈련시켰다. 이를 사용하여 선택되지 않은 단층촬영 이미지를 섬유형상을 구분하는 세분화를 수행하였고 이렇게 생성된 3차원 정보를 이용해서 유한요소모델을 생성하였다. 최종적으로 단방향 복합재료 시편과 유한요소모델의 섬유체적비를 비교하여 제안된 방법의 적절성을 확인하였다.

Abstract

In this study, finite element modeling of unidirectional composite materials of the computed tomography (CT) was conducted using a supervised learning-based segmentation technique. Firstly, Micro-CT scan was performed to obtain the raw volume of unidirectional composite materials, providing microstructure information. From the CT volume images, actual microstructure of the cross-section of unidirectional composite materials was extracted by the labeling process. Then, a U-net deep learning model was trained with a small number of raw images as inputs and their labeled images as outputs to generate a segmentation model. Subsequently, most of remaining images were input to the trained U-net deep learning model to segment all raw volume for identifying complex microstructure, which was used for the generation of finite element model. Finally, the fiber volume fraction of the finite element model was compared with that of experimentally measured volume to validate the appropriateness of the proposed method.

참고문헌 (19)

  1. Huang, Y., "Effects of Fiber Arrangement on Mechanical Behavior of Unidirectional Composites", Journal of Composite Materials, 42(18), pp.1851~1871 (2008)
  2. Wongsto, A., "Micromechanical FE Analysis of UD Fibre-reinforced Composites with Fibres Distributed at Random over the Transverse Cross-section", Composites Part A : Applied Science and Manufacturing, 36(9), pp.1246~1266 (2005)
  3. Jin, K. K., "Effect of Fiber Arrangement on Residual Thermal Stress Distributions in a Unidirectional Composite", Journal of Composite Materials, 41(5), pp.591~611 (2007)
  4. Woo, K., "Effect of Defects on Progressive Failure Behavior of Plain Weave Textile Composites", Materials, 14(16), pp.4363~ (2021)
  5. Garcea, S., "X-ray Computed Tomography of Polymer Composites", Composites Science and Technology, 156, pp.305~319 (2018)
  6. Czabaj, M. W., "Numerical Reconstruction of Graphite", epoxy Composite Microstructure Based on Sub-micron Resolution X-ray Computed Tomography, 2014, pp.105, 174~182
  7. Kim, D. -W., "Micro-computed Tomography-aided Modeling for Misaligned and Noncircular Fibers of Unidirectional Composites and Validation Under a Transverse Tensile Loading", Composites Science and Technology, 212, pp.108879~ (2021)
  8. Jeong, G., "A Virtual Experimental Approach to Evaluate Transverse Damage Behavior of a Unidirectional Composite Considering Noncircular Fiber Cross-sections", Composite Structures, 228, pp.111369~ (2019)
  9. Chung, S. -Y., "Overview of the Use of Micro-computed Tomography(micro-CT)to Investigate the Relation between the Material Characteristics and Properties of Cement-based Materials", Construction and Building Materials, 229, pp.116843~ (2019)
  10. Morita, S., "Performance Assessment for Fiber Tracking of Unidirectional Carbon Fiber Reinforced Plastic by Digital Image Correlation of X-ray Computed-tomography", Advanced Composite Materials, 32(1), pp.35~47 (2023)
  11. Ronneberger, O., "U-net: Convolutional Networks for Biomedical Image Segmentation", Proceeding of the In Medical Image Computing and ComputerAssisted Intervention–MICCAI 2015: 18th International Conference, pp.234~241 (2015)
  12. "MATLAB R2023a Documentation" (2023)[URL]
  13. Targ, S., "Resnet in Resnet: Generalizing Residual Architectures", arXiv preprint arXiv:1603.08029, ~ (2016)
  14. Kornilov, A. S., "An Overview of Watershed Algorithm Implementations in Open Source Libraries", Journal of Imaging, 4(10), pp.123~ (2018)
  15. Sinchuk, Y., "X-ray CT based Multi-layer Unit Cell Modeling of Carbon Fiber-reinforced Textile Composites : Segmentation, Meshing and Elastic Property Homogenization", Composite Structures, 298, pp.116003~ (2022)
  16. ASTM, "Standard Test Methods for Constituent Content of Composite Materials, D3171-15", ~
  17. ASTM, "Standard Test Methods for Constituent Content of Composite Materials, D3529-16", ~
  18. 김윤호, "탄소섬유 산화 현상을 고려한 탄소복합재료의 섬유체적비 측정법", Composites Research, 28(5), pp.311~315 (2015), 한국복합재료학회
  19. Fagiano, C., "Computational Geometrical and Mechanical Modeling of Woven Ceramic Composites at the Mesoscale", Composite Structures, 112, pp.146~156 (2014)

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