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4D geometric morphology evolution characterization of yarns in C/SiC composites at elevated-temperature
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DOI：10.1016/j.compositesb.2026.114045.png)
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Abstract
En 中文
Thermo-mechanical properties of plain weave carbon fiber-reinforced silicon carbide (C/SiC) composites at high temperature are critically influenced by the internal microstructure evolution. To address this, an integrated methodology combining high temperature in-situ micro X-ray computed tomography (μ-CT) characterization, deep-learning damage quantification, and image-based finite element simulation were employed to quantify the microstructure evolution of yarns at elevated temperature. The geometric imperfections of yarn microstructure were classified into under-sized cross-sections, yarn cross-section variation and yarn waviness. Then the damage evolution of these parameters was quantified. A strength prediction neural network, considering manufacturing defects was developed optimized by the particle swarm algorithm. The results indicate that the average value of three kinds of yarn geometric imperfections decreased at elevated temperature, resulting from the release of thermal residual stress. This explains the fracture mode transition from room-temperature fiber pull-out to high-temperature brittle fracture, as well as the concomitant improvement of strength at elevated temperature.
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