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Modeling of tensile modulus of polyolefin- layered silicate nanocomposites: modified micro-mechanical and statistical methods

机译:聚烯烃层状硅酸盐纳米复合材料拉伸模量建模:改进的微机械和统计方法

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Applicability and subsequent modification of various composite models for the prediction of the relative tensile modulus of polyolefin nanocomposites has been studied. A number of models, such as the modified Halpin-Tsai, Guth, Mori-Tanaka, Hui and Shia and Takay-anagi models, as well as factorial and mixture designs, were considered. Various assumptions in the models, such as uniform shape and size of filler (i.e., complete exfoliation), alignment, as well as interfacial bonding between the components, restrict their application for the prediction of the nanocomposite modulus. The modified Guth model and Halpin-Tsai model, with the O_m concept, were developed further to incorporate the modulus reduction factors for polyolefin nanocomposites. This allowed the generation of master curves of the modulus reduction factor as a function of the aspect ratio of the filler in the composite. It was observed that the Mori Tanaka model, modified by constructing models of various representative volume elements (RVEs) of the underlying structure of the nanoclay filled polymers, matched the experimental values of the tensile modulus of polyolefin nanocomposites. The modified Hui and Shia model, incorporating the non-bonding interfacial effects, as well as the three component modified Takayanagi model, were also able to predict the tensile modulus of polyolefin nanocomposites efficiently. Factorial and mixture designs did not require the conventionally used assumptions and satisfactorily reflected the material behavior, and were specific to the particular components used to generate nanocomposites. These models were also helpful in predicting the aspect ratio of the filler in the composites, when synergistically combined with other modified models.
机译:研究了各种复合模型在预测聚烯烃纳米复合材料相对拉伸模量方面的适用性和后续改进。考虑了许多模型,例如改进的Halpin-Tsai,Guth,Mori-Tanaka,Hui和Shia和Takay-anagi模型,以及析因和混合设计。模型中的各种假设(例如填料的均匀形状和大小(即完全剥落),对齐方式以及组件之间的界面结合)限制了它们在预测纳米复合模量方面的应用。进一步开发了具有O_m概念的改进的Guth模型和Halpin-Tsai模型,以纳入聚烯烃纳米复合材料的模量降低因子。这允许生成模量降低因子的主曲线,该主曲线是复合材料中填料纵横比的函数。观察到,通过构造填充纳米粘土的聚合物的基础结构的各种代表性体积元素(RVE)的模型而修改的森田中模型与聚烯烃纳米复合材料的拉伸模量的实验值匹配。修改后的Hui and Shia模型结合了非键合界面效应,以及三组分修改后的高柳模型,也能够有效预测聚烯烃纳米复合材料的拉伸模量。析因和混合物设计不需要常规使用的假设,并且可以令人满意地反映材料的行为,并且特定于用于生成纳米复合材料的特定组件。当与其他改进模型协同结合时,这些模型还有助于预测复合材料中填料的长径比。

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