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运用已开发的计算机软件,模拟了短纤维增强复合材料的微观组织结构,预测了在机械载荷作用下13种复合材料样品的刚度系数.采用数理统计中的回归分析方法对预测结果进行分析后发现:每种复合材料样品的刚度系数C11,C12,C44均随着增强相材料体积份额φ的增大而增大,它们之间有很好的线性回归关系;此外,对于不同类型的复合材料样品,复合材料刚度系数与组分材料的刚度系数、弹性模量及各向异性比之间均呈现有规律的数值对应关系,而基体材料的平均晶粒尺寸D对复合材料刚度系数几乎没有影响.
The developed computer software was used to simulate the microstructure of short fiber reinforced composites and predict the stiffness coefficients of 13 composites under the mechanical loading.Using the regression analysis method in mathematical statistics to analyze the prediction results : The stiffness coefficients C11, C12 and C44 of each composite sample increase with the increase of the volume fraction φ of the reinforcing phase material, and there is a good linear regression relationship between them. In addition, for the different types of composite samples , The stiffness coefficient of the composite material and the stiffness coefficient, elastic modulus and anisotropic ratio of the material showed a regular numerical correspondence, and the average grain size of the matrix material D had little effect on the stiffness coefficient of the composite material.