4.6 Article

Dynamics of Silica-Nanoparticle-Filled Hybrid Hydrogels: Nonlinear Viscoelastic Behavior and Chain Entanglement Network

期刊

JOURNAL OF PHYSICAL CHEMISTRY C
卷 117, 期 39, 页码 20236-20243

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jp404616s

关键词

-

资金

  1. Fundamental Research Funds for the Central Universities [TD2011-10]
  2. Beijing Forestry University Young Scientist Fund [BLX2011010]
  3. Research Fund for the Doctoral Program of Higher Education of China [20120014120006]

向作者/读者索取更多资源

The understanding of nanoscale fillers in polymeric materials is of the utmost importance for the performance of elastomers. The dynamics of a filler polymer matrix is studied from the nonlinear viscoelastic behavior of an entangled composite's network by using silica nanopartide (SNP)/poly(acrylamide) (PAM) as a model, which allows us to elucidate the nature of the filler association and its role in the nonlinear viscoelastic properties at large strain amplitudes, termed as the Payne effect. The systems show reduced elastic modulus and turn flowable behavior at sufficiently high strains, then partially recover upon switching to a small strain. The Payne effect seem to be time-dependent and is affected by the filler network's reversible breakdown and rearrangement This nonlinear viscoelastic property, in particular the decrease of modulus at high strain amplitude, is interpreted to be a reason for the breakdown of the filler network. The greater reinforcement for nanocomposites indicates the filler association through chain immobilization on bridging The concept of a layer of glassy bridge is used to demystify the interparticle connection and correlates it to the Payne effect The SNP filled nanocomposite's reinforcement mechanisms include the plasticization of glassy-layer-bridging neighboring dusters, trapped entanglement at the filler polymer interface, and polymer chains dynamic adsorption desorption transformation.

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

4.6
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