Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver V6T 1Z1, Canada.
J Chem Phys. 2012 Jan 28;136(4):044520. doi: 10.1063/1.3679399.
Results are presented of a systematic study of the transport properties of the rough hard sphere fluid. The rough hard sphere fluid is a simple model consisting of spherical particles that exchange linear and angular momenta, and energy upon collision. This allows a study of the sole effect of particle rotation upon fluid properties. Molecular dynamics simulations have been used to conduct extensive benchmark calculations of self-diffusion, shear and bulk viscosity, and thermal conductivity coefficients. As well, the validity of several kinetic theory equations have been examined at various levels of approximation as a function of density and translational-rotational coupling. In particular, expressions from Enskog theory using different numbers of basis sets in the representation of the distribution function were tested. Generally Enskog theory performs well at low density but deviates at larger densities, as expected. The dependence of these expressions upon translational-rotational coupling was also examined. Interestingly, even at low densities, the agreement with simulation results was sometimes not even qualitatively correct. Compared with smooth hard sphere behaviour, the transport coefficients can change significantly due to translational-rotational coupling and this effect becomes stronger the greater the coupling. Overall, the rough hard sphere fluid provides an excellent model for understanding the effects of translational-rotational coupling upon transport coefficients.
呈现了对粗糙硬球流体输运性质的系统研究结果。粗糙硬球流体是一个简单的模型,由在碰撞时交换线性和角动量以及能量的球形粒子组成。这允许研究仅粒子旋转对流体性质的影响。分子动力学模拟已被用于进行自扩散、剪切和体积粘度以及热导率系数的广泛基准计算。此外,还检查了几种动力学理论方程在不同的近似水平下作为密度和平移-旋转耦合的函数的有效性。特别是,使用分布函数表示中的不同基集数量的 Enskog 理论表达式进行了测试。一般来说,Enskog 理论在低密度下表现良好,但在较大密度下会偏离,这是预期的。还研究了这些表达式对平移-旋转耦合的依赖性。有趣的是,即使在低密度下,与模拟结果的一致性有时甚至不是定性正确的。与光滑硬球行为相比,由于平移-旋转耦合,输运系数可以显著变化,并且这种效应随着耦合的增强而变得更强。总体而言,粗糙硬球流体为理解平移-旋转耦合对输运系数的影响提供了一个极好的模型。