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Predictions of the linear rheology of polydisperse, entangled linear polymer melts by using the discrete slip-link model

机译:使用离散滑动连杆模型预测多分散,缠结的线性聚合物熔体的线性流变学

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We present a more efficient way to predict the dynamic modulus of a broadly disperse, entangled polymer melt that uses the discrete slip-link model. Polydisperse blends provide a computational challenge because of the large number of molecular weights that contribute to the modulus. Here, we simulate the order 10 probes to capture the sliding dynamics of chains, but a continuous background to capture constraint dynamics. Contributions of other molecular weights can be interpolated from the simulated probes. Since we use the continuous background, additional probes can be added as needed without re-doing the prior simulations. We show that the method is capable of predicting the modulus well for two different chemistries. Comparison with a simplified double reptation model for a third chemistry shows agreement between the two approaches for frequencies near and below the crossover point of the dynamic modulus even though the distribution is rather narrow. (C) 2018 The Society of Rheology.
机译:我们提出了一种更有效的方法来预测使用离散滑动连杆模型的宽透过缠绕的聚合物熔体的动态模量。由于贡献模量的大量分子量,多分散共混物提供了计算挑战。在这里,我们模拟了订单10探针以捕获链的滑动动力学,而是捕获约束动态的连续背景。可以从模拟探针内插其他分子量的贡献。由于我们使用连续背景,因此可以根据需要添加附加探针,而无需重新执行先前的模拟。我们表明该方法能够预测两种不同化学的模量阱。与第三化学的简化双重恢复模型的比较显示了即使分布相当窄的动态模量接近和下方的频率频率接近和下方的两种方法之间的一致性。 (c)2018年流变学会。

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    《Journal of Rheology》 |2018年第6期|共8页
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  • 正文语种 eng
  • 中图分类 流变学;
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