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Polymer rheology simulations at the meso- and macroscopic scale

机译:中微观尺度的聚合物流变学模拟

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摘要

We show that simulations of polymer rheology at a fluctuating mesoscopic scale and at the macroscopic scale where flow instabilities occur can be achieved at the same time with dissipative particle dynamics (DPD) technique. We model the viscoelasticity of polymer liquids by introducing a finite fraction of dumbbells in the standard DPD fluid. The stretching and tumbling statistics of these dumbbells is in agreement with what is known for isolated polymers in shear flows. At the same time, the model exhibits behaviour reminiscent of drag reduction in the turbulent state: as the polymer fraction increases, the onset of turbulence in plane Couette flow is pushed to higher Reynolds numbers. The method opens up the possibility to model non-trivial rheological conditions with ensuing coarse-grained polymer statistics.
机译:我们显示,可以使用耗散粒子动力学(DPD)技术同时实现聚合物流变学在波动的介观尺度和发生流动不稳定性的宏观尺度上的模拟。我们通过在标准DPD流体中引入有限比例的哑铃来模拟聚合物液体的粘弹性。这些哑铃的拉伸和翻滚统计数据与剪切流中孤立聚合物的已知数据一致。同时,该模型表现出令人联想起湍流状态下的阻力减小的行为:随着聚合物分数的增加,平面库埃特流中湍流的发生被推到更高的雷诺数。该方法提供了通过随后获得粗粒聚合物统计数据来模拟非平凡流变条件的可能性。

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