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The performance of calcium carbonate filled, random fiber composites

机译：碳酸钙填充的无规纤维复合材料的性能

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摘要

This paper describes an investigation into the performance of calcium carbonate filled, random fiber reinforced composites. A series of composite plaques were fabricated by resin transfer molding (RTM) a calcium carbonate filled, unsaturated poly-ester resin with either an A-glass continuous strand mat (CSM) or an E-glass CSM preform. The influence of fiber type and calcium carbonate filler loading level were then evaluated through a combination of experiments and micro-mechanics based modeling. The results of these studies indicate that the use of the E-glass reinforcement led to better mechanical properties relative to their A-glass counterpart. In addition, the composite moduli increased as the calcium carbonate filler level increased; however, the composite strengths were insensitive to filler loading level. Finally, a previously developed micro-mechanics based model was extended to consider the presence of the filler within the resin matrix. This model was used to predict the tensile moduli and strength and the overall shape of the stress-stiain curves. Good agreement was found between the model predictions and the experimental results which suggests that this model could be used as a preliminary design tool to examine the effect of constituent composition on structural performance.
机译：本文介绍了对碳酸钙填充无规纤维增强复合材料性能的研究。通过树脂传递模塑（RTM）碳酸钙填充的不饱和聚酯树脂与A玻璃连续绞合毡（CSM）或E玻璃CSM预成型坯，制造了一系列复合板。然后通过实验和基于微力学的建模相结合，评估了纤维类型和碳酸钙填料含量的影响。这些研究的结果表明，与A玻璃相比，E玻璃增强材料的机械性能更好。另外，复合模量随碳酸钙填充剂含量的增加而增加。然而，复合材料的强度对填料的添加量不敏感。最后，扩展了先前开发的基于微力学的模型，以考虑填料在树脂基体中的存在。该模型用于预测拉伸模量和强度以及应力-satin曲线的整体形状。在模型预测和实验结果之间找到了很好的一致性，这表明该模型可以用作检查组成成分对结构性能影响的初步设计工具。

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