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Model for Elastic Modulus of Multi-Constituent Particulate Composites

机译:多成分颗粒复合材料的弹性模量模型

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摘要

In this paper, a methodology has been developed to accurately predict the elastic properties of multi-constituent particulate composites by accounting for irreversible effects, such as energy loss that arises due to internal friction. The complex dependence on loading density and particle properties (i.e., size, shape, morphology, etc.) is investigated in terms of their effects on the effective elastic modulus of the composite. Confirmed by experimental data from the compression loading of individual Ni and Al particles dispersed in an epoxy matrix, it is believed that this approach captures the effects of internal friction, consequently providing a more accurate and comprehensive representation for predicting and understanding the material behavior of multi-constituent particulate reinforced composites. The present methodology provides a model to directly compare the elastic modulus from an uncomplicated test, such as dual-cantilever beam loading in dynamic mechanical analysis (DMA), to the modulus obtained by other more complex experimental methods such as quasi-static compression. The model illustrates an efficient method to incorporate input data from DMA to represent realistic elastic moduli, hence promising for the characterization and design of particulate composites.
机译:在本文中,已经开发出一种方法,通过考虑不可逆作用(例如由于内部摩擦引起的能量损失)来准确预测多组分颗粒复合材料的弹性性能。根据它们对复合材料有效弹性模量的影响,研究了其对负载密度和颗粒性质(即尺寸,形状,形态等)的复杂依赖性。由分散在环氧基质中的单个Ni和Al颗粒的压缩载荷得到的实验数据证实,据信这种方法可以捕获内部摩擦的影响,因此可以提供更准确和全面的表示形式,以预测和理解多相材料的行为。 -成分颗粒增强复合材料。本方法学提供了一个模型,可以直接比较简单的测试(例如动态力学分析(DMA)中的双悬臂梁载荷)的弹性模量与通过其他更复杂的实验方法(例如准静态压缩)获得的模量。该模型说明了一种有效的方法,可以合并来自DMA的输入数据以表示实际的弹性模量,因此有望用于颗粒复合材料的表征和设计。

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