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http://dx.doi.org/10.7234/composres.2022.35.3.188

Multi-scale Process-structural Analysis Considering the Stochastic Distribution of Material Properties in the Microstructure  

Jang, Kyung Suk (Department of Aerospace Engineering, Seoul National University)
Kim, Tae Ri (Department of Aerospace Engineering, Seoul National University)
Kim, Jeong Hwan (Department of Aerospace Engineering, Seoul National University)
Yun, Gun Jin (Department of Aerospace Engineering, Seoul National University, Institute of Advanced Aerospace Technology, Seoul National University)
Publication Information
Composites Research / v.35, no.3, 2022 , pp. 188-195 More about this Journal
Abstract
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.
Keywords
Multiscale analysis; Uncertainty quantification; Compression molding simulation; Draping process simulation;
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