Multiscale Prediction for Mechanical and Thermal Properties of Needled Composites Considering Pore and Their Application

Needled ceramic composites have great application prospects for high-temperature structural components. However, due to the manufacturing defects, the properties of the composite show significant dispersion, which poses great challenges for predicting the service life. Firstly, X-ray computed tomography was used to determine the pores in the composites, and multiscale models considering the pores were established. Combined with the multiscale method, the elastic modulus was predicted, and the relationship between porosity and elastic modulus was established. Secondly, the thermal diffusion coefficient was predicted. The relationship between porosity and thermal diffusion coefficient was determined. The accuracy of the multiscale method was verified by comparative analysis with the tensile experiment and the thermal diffusion experiment, respectively. Finally, based on the results of the model analysis, the correlation equations between thermal diffusion coefficient, porosity and elastic modulus were established. Thereby, new ideas are provided for the assessment of porosity and elastic properties of the composites.

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Publication Details

Journal
Materials
Published
2025-10-23
DOI
https://doi.org/10.3390/ma18214855
Primary Topic
Composite Material Mechanics
Type
article
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article

Multiscale Prediction for Mechanical and Thermal Properties of Needled Composites Considering Pore and Their Application

Junlong Wang, Liming Zhou, Hailin Li, Rui Yang et al.
Materials
Composite Material Mechanics
article

Multiscale Prediction for Mechanical and Thermal Properties of Needled Composites Considering Pore and Their Application

Junlong Wang, Liming Zhou, Hailin Li, Rui Yang, Shiyong Sun
article en

Abstract

Needled ceramic composites have great application prospects for high-temperature structural components. However, due to the manufacturing defects, the properties of the composite show significant dispersion, which poses great challenges for predicting the service life. Firstly, X-ray computed tomography was used to determine the pores in the composites, and multiscale models considering the pores were established. Combined with the multiscale method, the elastic modulus was predicted, and the relationship between porosity and elastic modulus was established. Secondly, the thermal diffusion coefficient was predicted. The relationship between porosity and thermal diffusion coefficient was determined. The accuracy of the multiscale method was verified by comparative analysis with the tensile experiment and the thermal diffusion experiment, respectively. Finally, based on the results of the model analysis, the correlation equations between thermal diffusion coefficient, porosity and elastic modulus were established. Thereby, new ideas are provided for the assessment of porosity and elastic properties of the composites.

MaterialsVol. 18(21)
Dalian University of Technology (CN)
Openalex Percentile: Top 65%
Composite Material Mechanics
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