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February 8, 20261 citationsOpen Access

A Multiscale Modeling Approach for the Prediction of the Mechanical Properties of C/SiC Composites Fabricated by the CVI Process

TKTaegeon KilYCYongyoon ChoJBJinho Bae

Key Points

  • The aim is to develop a multiscale modeling approach for predicting the mechanical properties of C/SiC composites fabricated by CVI.
  • Conducted reactive molecular dynamics simulations of the SiC matrix.
  • Developed a two-level micromechanics-based homogenization to include constituents' effects.
  • Performed numerical parametric studies on model parameters.
  • Conducted experimental tensile tests and scanning electron microscopy for validation.
  • Modeling predictions matched well with experimental results.
  • The influence of porosity and carbon fibers on mechanical properties was assessed.
  • Demonstrated the effectiveness of the multiscale modeling approach for C/SiC composites.

Abstract

A multiscale modeling approach is proposed to investigate the mechanical properties of carbon fiber/silicon carbide (C/SiC) composites fabricated by chemical vapor infiltration (CVI) process. First, reactive molecular dynamics simulations are conducted to estimate the mechanical properties of the SiC matrix fabricated via CVI. Subsequently, a two-level micromechanics-based homogenization is developed to account for the effects of various constituents (e.g., porosity and carbon fiber) on the mechanical properties of the C/SiC composites. A series of numerical parametric studies is performed to examine the influence of the model parameters on the mechanical properties of the C/SiC composites. In addition, experimental investigations, including tensile tests and scanning electron microscopy, are conducted to validate the proposed modeling approach. The results indicate that the proposed modeling approach provides predictions that are in good agreement with the experimental results, thereby demonstrating the effectiveness of the proposed modeling scheme.

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Cite This Study

Kil et al. (2026) studied this question.

synapsesocial.com/papers/698829410fc35cd7a884978chttps://doi.org/10.3390/ma19030623
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