• Title/Summary/Keyword: 압축 성형-구조 연계해석

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Prediction of the Mechanical behavior of Short-Fiber Reinforced Composite Structures using Compression Molding-Structural Coupled Analysis (압축 성형-구조 연계 해석을 활용한 단섬유 강화 복합소재 구조물의 기계적 거동 예측)

  • Da-Young Jang;Geung-Hyeon Lee;Jang-Woo Han
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.5
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    • pp.317-326
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    • 2024
  • In this paper, compression molding-structural coupled analysis was proposed to accurately consider the effect of initial compression molding conditions on the mechanical behavior of short-fiber reinforced composite structures. To this end, local short-fiber orientations depending on the initial charge conditions were investigated using compression molding analysis, and a mean-field homogenization scheme was employed to efficiently derive equivalent orthotropic material properties determined by short-fiber orientations. Furthermore, based on the refined finite element model with short-fiber orientation, compression molding-structural coupled analysis precisely described the locally independent mechanical behavior induced by initial molding conditions. Consequently, it could be confirmed that the proposed analysis model provides a reasonable solution in the design process of short-fiber reinforced composite structures manufactured by compression molding.

Multi-scale Process-structural Analysis Considering the Stochastic Distribution of Material Properties in the Microstructure (미소 구조 물성의 확률적 분포를 고려한 하이브리드 성형 공정 연계 멀티스케일 구조 해석)

  • Jang, Kyung Suk;Kim, Tae Ri;Kim, Jeong Hwan;Yun, Gun Jin
    • Composites Research
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    • v.35 no.3
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    • pp.188-195
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    • 2022
  • This paper proposes a multiscale process-structural analysis methodology and applies to a battery housing part made of the short fiber-reinforced and fabric-reinforced composite layers. In particular, uncertainties of the material properties within the microscale representative volume element (RVE) were considered. The random spatial distribution of matrix properties in the microscale RVE was realized by the Karhunen-Loeve Expansion (KLE) method. Then, effective properties of the RVE reflecting on spatially varying matrix properties were obtained by the computational homogenization and mapped to a macroscale FE (finite element) model. Morever, through the hybrid process simulation, a FE (finite element) model mapping residual stress and fiber orientation from compression molding simulation is combined with one mapping fiber orientation from the draping process simulation. The proposed method is expected to rigorously evaluate the design requirements of the battery housing part and composite materials having various material configurations.