4.7 Article

Annular Coated Inclusion model and applications for polymer nanocomposites - Part II: Cylindrical inclusions

期刊

MECHANICS OF MATERIALS
卷 101, 期 -, 页码 50-60

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.mechmat.2016.07.005

关键词

Nano composites; Polymer-matrix composites (PMCs); Interphase; Modelling; Micromechanics

资金

  1. National Science Foundation [0846937]
  2. Div Of Civil, Mechanical, & Manufact Inn
  3. Directorate For Engineering [0846937] Funding Source: National Science Foundation

向作者/读者索取更多资源

This work provides an analytical solution for the unknown components of the dilute strain concentration tensors for coated cylindrical inclusions, which can be directly implemented into traditional micromechanical models to predict the effective mechanical properties of composites with coated cylindrical/fibrous inclusions. Comparison of the predictions of the proposed model with predictions based on the standard Mori-Tanaka (MT) approach shows that differences between the models are largest when the annular interphase region is softer than the matrix material. A two-dimensional finite element (FE) analysis is then used to benchmark the transversely isotropic composite behavior captured in the proposed model. Using standard orientational averaging approaches, the effective moduli of composites with randomly oriented cylindrical inclusions are predicted and compared to experimental results for polymer nanocomposites described in the literature, providing insight into the utility of the approach. In addition, by providing an analytical solution to the dilute strain concentration tensor, the proposed methodology would allow one to connect the average stress and strain fields in the constituent phases to known macroscopic fields. The proposed model may be particularly useful as a guide to evaluate the impact of various strategies that seek to tailor the properties of the interphase region in nanocomposite materials. (C) 2016 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据