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Structural nonlinearity observation of dissipative particle network: Evaluation and prediction of mechanical properties of nanoparticle dispersed polymers

耗散粒子网络的结构非线性观察：纳米粒子分散聚合物力学性能的评估和预测

基本信息

批准号：
21360330
负责人：
IOSNO Yoshinobu
金额：
$ 11.48万
依托单位：
Nagaoka University of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2009
资助国家：
日本
起止时间：
2009 至 2012
项目状态：
已结题

项目摘要

Three-network model composed of Cross-linked Network (CN), Bridged Filler Network (BFN) and Contact Filler Network (CFN) for nanoparticle filled polymers are proposed. CFN has been directly observed by 3D-TEM for the carbon black (CB) filled samples crosslinked at equilibrium and also for the samples crosslinked via two-stage nonequilibrium process in equilibrium and deformed states. The CFN images taken in deformed states are the world first observation. In addition, three-network model has been found to be reasonable from the viewpoint of both time and modulus shift factors in time-temperature superposition processes of viscoelastometry for CB filled, crosslinked polymers. The existence of BFN is shown to exist by enhanced peaks in differential storage modulus observed at peak strains in large amplitude oscillatory shear deformations. Structural nonlinear viscoelastic properties of nano-particle filled polymers are found to be governed by the change and recovery in BFN and CFN.

提出了由交联网络（CN）、桥接填料网络（BFN）和接触填料网络（CFN）组成的纳米粒子填充聚合物的三网络模型。通过 3D-TEM 直接观察到平衡交联的炭黑 (CB) 填充样品以及平衡状态和变形状态下通过两阶段非平衡过程交联的样品的 CFN。在变形状态下拍摄的CFN图像是世界上首次观察到的。此外，从CB填充交联聚合物的粘弹性测量的时间-温度叠加过程中的时间和模量移动因素的角度来看，三网络模型被发现是合理的。通过在大幅度振荡剪切变形中的峰值应变处观察到的微分储能模量的增强峰值，证明了 BFN 的存在。研究发现纳米颗粒填充聚合物的结构非线性粘弹性特性受 BFN 和 CFN 的变化和恢复的控制。