颗粒增强复合材料杨氏模量预测模型研究

2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) Pub Date : 2022-11-18 DOI:10.1109/WCMEIM56910.2022.10021346

Tao Jiang, Tieyu Zhu, Zhilong Chen, Haipeng Hou, Minglei Jin, Liming Wang

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引用次数: 0

摘要

采用基于微观颗粒夹杂特征的三维两相代表性体积单元模型，建立了硅基碳化硅颗粒增强复合材料的杨氏模量预测模型。通过对复合材料中颗粒的物理特性和空间分布特性的分析，提出了具有代表性的体积单元模型。然后，分析了体积百分比、粒径波动和粒径等不同颗粒参数对硅基SiC颗粒增强复合材料杨氏模量的影响。模拟结果与实验结果吻合较好，为按需制备具有理想杨氏模量分布的梯度功能材料铺平了道路。

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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 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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2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)

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