Research on Young's Modulus Prediction Model of Particle Reinforced Composites
The Young's modulus prediction model of silastic matrix silicon carbide (SiC) particle reinforced composites is established by a three-dimensional two-phase representative volume unit model based on microscopic particle inclusion characteristics. Through the analysis of physical characteristics...
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Published in | 2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) pp. 462 - 466 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
18.11.2022
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Subjects | |
Online Access | Get full text |
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Summary: | The Young's modulus prediction model of silastic matrix silicon carbide (SiC) particle reinforced composites is established by a three-dimensional two-phase representative volume unit model based on microscopic particle inclusion characteristics. Through the analysis of physical characteristics and spatial distribution characteristics of the particles in the composites, the representative volumetric unit model is proposed. Then, the effects of different particle parameters such as volume percentage, particle size fluctuation and particle size on the Young's modulus of silastic matrix SiC particle reinforced composites are analyzed. The simulation results show good agreement with the experimental measurements, which paves the way for the preparation of gradient functional materials with ideal distribution of Young's modulus on demand. |
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DOI: | 10.1109/WCMEIM56910.2022.10021346 |