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Modeling the shape memory and strength properties of fiber-reinforced shape memory polymer composite laminates

机译:纤维增强形状记忆聚合物复合层压板的形状记忆和强度性能

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摘要

Shape memory polymer composites (SMPCs) are one of the promising material candidates applied in the fields of aerospace and biomedicine. The shape memory and strength properties of SMPCs are very important in engineering structures based on the material. In the paper, an efficient generalized Maxwell model is developed to describe the constitutive relations of the pure shape memory polymers under small deformation at first, and then extended to predict the thermomechanical properties of the SMPCs based on the bridge micromechanics model. The simulation results show that the SMPCs possess remarkable shape memory performance and enhanced mechanical properties. Thereafter, the strength properties of the matrix and the composites, as well as the effects of fiber contents, temperatures and loading angles, are studied in detail based on the polymer strength theory, the composite bridge model and the Tsai-Hill criterion. The present micromechanical model provides an efficient method for designing and optimizing SMPCs.
机译:形状记忆聚合物复合材料(SMPC)是在航空航天和生物医学领域应用的有希望的材料候选者之一。 SMPC的形状记忆和强度特性在基于材料的工程结构中非常重要。在本文中,开发了一种有效的广义麦克斯韦模型,以便首先描述小变形下的纯形状记忆聚合物的组成关系,然后延伸以预测基于桥梁微机械模型的SMPC的热机械特性。仿真结果表明,SMPC具有显着的形状记忆性能和增强的机械性能。此后,基于聚合物强度理论,复合桥模型和Tsai-Hill标准,详细研究了基质和复合材料的强度特性,以及纤维内容物,温度和负载角度的影响。本发明的微机械模型提供了一种用于设计和优化SMPC的有效方法。

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