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

提出了由交联网络(CN)、桥联填充网络(BFN)和接触填充网络(CFN)组成的纳米填充聚合物三网络模型。用3D-TEM直接观察到了平衡交联型炭黑填充样品以及平衡和变形状态下两步非平衡交联型样品的CFN。在形变状态下拍摄的CFN图像是世界上第一次观测到。此外，对于炭黑填充的交联聚合物，从时间和模数移动因子的观点来看，三网络模型在粘弹性时温叠加过程中是合理的。在大幅值振荡剪切变形中，在峰值应变处观察到的差示储能模峰值的增强，证明了BFN的存在。BFN和CFN的变化和恢复决定了纳米粒子填充聚合物的结构非线性粘弹性。

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.