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    杨鹏飞, 樊俊铃, 宁宁, 史俊伟. 不同孔隙率碳纤维增强环氧树脂复合材料板的压缩强度及其预测模型[J]. 机械工程材料, 2021, 45(6): 52-56. DOI: 10.11973/jxgccl202106009
    引用本文: 杨鹏飞, 樊俊铃, 宁宁, 史俊伟. 不同孔隙率碳纤维增强环氧树脂复合材料板的压缩强度及其预测模型[J]. 机械工程材料, 2021, 45(6): 52-56. DOI: 10.11973/jxgccl202106009
    YANG Pengfei, FAN Junling, NING Ning, SHI Junwei. Compressive Strength and Its Prediction Model of Carbon Fiber Reinforced Epoxy Resin Composite Plates with Different Porosities[J]. Materials and Mechanical Engineering, 2021, 45(6): 52-56. DOI: 10.11973/jxgccl202106009
    Citation: YANG Pengfei, FAN Junling, NING Ning, SHI Junwei. Compressive Strength and Its Prediction Model of Carbon Fiber Reinforced Epoxy Resin Composite Plates with Different Porosities[J]. Materials and Mechanical Engineering, 2021, 45(6): 52-56. DOI: 10.11973/jxgccl202106009

    不同孔隙率碳纤维增强环氧树脂复合材料板的压缩强度及其预测模型

    Compressive Strength and Its Prediction Model of Carbon Fiber Reinforced Epoxy Resin Composite Plates with Different Porosities

    • 摘要: 通过压缩试验研究了IMA碳纤维增强M21环氧树脂复合材料板孔隙率对压缩强度的影响,建立了孔隙率与压缩强度的非线性关系模型。结果表明:孔隙率不大于1.87%时,该复合材料板的压缩强度较孔隙率为0的变化不明显,孔隙率对压缩强度的影响较小;孔隙率大于1.87%时,复合材料板的压缩强度较孔隙率为0的明显降低,此时孔隙率对压缩强度的影响较大;用建立的孔隙率与压缩强度的非线性关系模型对复合材料板的压缩强度进行了预测,预测结果较经典Gürdal指数模型的准确。

       

      Abstract: The effect of porosity on compressive strength of IMA carbon fiber reinforced M21 epoxy resin composite plate was studied by compression test, and a nonlinear relationship model between porosity and compressive strength was established. The results show that when the porosity no more than 1.87%, the compressive strength of the composite plate did not change obviously compared with that of the porosity of 0, and the effect of the porosity on the compressive strength was relatively small. When the porosity grater than 1.87%, the compressive strength of the composite plate was obviously lower than that of the porosity of 0, and the effect of the porosity on the compressive strength was relatively large. The compressive strength of the composite plate was predicted by the established nonlinear relationship model between porosity and compressive strength, and the prediction result was more accurate than that of Gürdal index model.

       

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