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首页> 外文期刊>The journal of physical chemistry, C. Nanomaterials and interfaces >Molecular dynamics study on nanoparticle diffusion in polymer melts: A test of the Stokes-Einstein law
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Molecular dynamics study on nanoparticle diffusion in polymer melts: A test of the Stokes-Einstein law

机译:聚合物熔体中纳米粒子扩散的分子动力学研究:斯托克斯-爱因斯坦定律的检验

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Molecular dynamics simulations are used to investigate the diffusion process of nanoparticles in polymer melts. The effects of size, concentration, and mass of the particle, chain length, and polymer-particle interaction on the diffusion of particles in polymer melts are also explored. Our simulated results indicate that the gyration radius of the polymer chain is the key factor determining the validity of the Stokes-Eintsein(SE) relation in describing the particle diffusion at infinite dilution. When the particle size is larger than the gyration radius of the polymer chain, the SE formula can predict the particle diffusion in the polymer melts correctly, and the particle diffusion does not show mass dependence. When the particle size is smaller than the gyration radius of the polymer chain, however, the SE equation becomes invalid in the prediction of particle diffusion, because particle diffusion is exactly related to the nanoviscosity rather than the macroviscosity used in the SE formula. Furthermore, it is also found that the diffusion coefficient of the particle is inversely proportional to the cube of its hydrodynamic radius. In this regime where the particle size is smaller than the gyration radius of the polymer, particle diffusion is independent of the chain length or molecular weight of the polymer, but dependent on the particle mass. In addition, we also observe the transition process of the particle experiencing macroviscosity to nanoviscosity of the polymer melts by gradually increasing the chain length. The concentration dependence of the particle diffusion is similar to the results from Heyes et al., and at high volume fractions, the negative deviations from the SE formula are found. By exploring the effect of particle-polymer interaction on the diffusion of the particle larger than the gyration radius of the polymer chain, it is found that the condition where the SE formula becomes valid in the prediction of the particle diffusion is that where different reasonably defined effective hydrodynamic radii must be used.
机译:分子动力学模拟用于研究纳米粒子在聚合物熔体中的扩散过程。还探讨了颗粒尺寸,浓度和质量,链长以及聚合物-颗粒相互作用对聚合物熔体中颗粒扩散的影响。我们的模拟结果表明,聚合物链的旋转半径是决定Stokes-Eintsein(SE)关系在描述无限稀释时颗粒扩散有效性方面的关键因素。当粒径大于聚合物链的回转半径时,SE公式可以预测聚合物中的颗粒扩散是否正确熔融,并且颗粒扩散不显示质量依赖性。但是,当粒径小于聚合物链的回转半径时,SE方程在颗粒扩散的预测中将变得无效,因为颗粒扩散与SE配方中使用的纳米粘度而不是宏观粘度完全相关。此外,还发现颗粒的扩散系数与流体动力学半径的立方成反比。在这种粒径小于聚合物的回转半径的状态下,颗粒扩散与聚合物的链长或分子量无关,但与颗粒质量有关。另外,我们还观察到通过逐渐增加链长,经历大粘度的颗粒向聚合物熔体的纳米粘度的过渡过程。颗粒扩散的浓度依赖性与Heyes等人的结果相似,在高体积分数下,与SE公式之间存在负偏差。通过探索颗粒-聚合物相互作用对大于聚合物链回转半径的颗粒扩散的影响,发现SE公式在预测颗粒扩散中有效的条件是合理定义不同的条件必须使用有效的流体动力学半径。

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