• Media type: E-Book
  • Title: Numerical Prediction for Effective Thermal Conductivity of C/Sic Composites by Using a Multiscale Numerical Method
  • Contributor: Guo, Jingyu [Author]; Li, Ze [Author]; Ding, Yuan [Author]; Lv, Si-Tao [Author]
  • Published: [S.l.]: SSRN, [2022]
  • Extent: 1 Online-Ressource (25 p)
  • Language: English
  • DOI: 10.2139/ssrn.4010511
  • Identifier:
  • Origination:
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  • Description: To investigate the coupled conduction-radiation heat transfer in C/SiC composites, a multiscale numerical method is proposed in this paper. The multiscale method combines a three-scale physical model and a multiscale mathematical method for predicting the thermal conductivity of composite materials. Then, an experimental study was conducted to verify the multiscale numerical method proposed herein. The average error of the effective thermal conductivity of the multiscale model compared with the experimental data is 4.13%. The computational time of the multiscale model can be reduced from more than 8 hours to 1.6 hours compared with the traditional model. Therefore, the proposed multiscale model can significantly reduce the computational time of reconstructing temperature and radiation intensity fields while ensuring computational accuracy. Finally, Finally, the effects of key parameters such as porosity, temperature, and carbon fiber volume fraction on the effective thermal conductivity of C/SiC composites were evaluated. This work can guide the design of thermal protection composites
  • Access State: Open Access