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Simulation of linear and nonlinear viscoelasticity for the polymer solution by the primitive chain network model

机译:基元链网络模型对聚合物溶液的线性和非线性粘弹性模拟

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Simulations by the primitive chain network (PCN) model, which is one of the sliplink simulations, are compared with the rheological data of the monodisperse linear polystyrene solution. The model includes the repetition, contour length fluctuations, force balance around entanglements, convective constraint release, etc. The adjustable shift factors for the model are the plateau modulus G{sub}0(∞) and the relaxation time τ{sub}e of the subchains between consecutive entanglements. The PCN model provides good predictions with the same shift factors (G{sub}0(∞) and τe) in both the linear viscoelasticity and the nonlinear behavior, e.g., the relaxation modulus, and the stress overshoot in start up of steady shear flow. It means that the PCN model successfully describes the dominant mechanism for the nonlinear viscoelasticity.
机译:与单分散线性聚苯乙烯溶液的流变数据进行比较是由原始链网络(PCN)模型的模拟,这是单分散线性聚苯乙烯溶液的流变数据。该模型包括重复,轮廓长度波动,围绕缠结,对流约束释放等的力平衡等。模型的可调换档因子是高原模量G {子} 0(∞)和弛豫时间τ{子} e连续纠缠之间的亚基。 PCN模型在线性粘弹性和非线性行为中具有相同的换档因子(G {sub} 0(∞)和τe),例如松弛模量,并且在稳定剪切流动启动时过冲。这意味着PCN模型成功地描述了非线性粘弹性的主导机制。

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