Mo Chao-Jie, Qin Li-Zi, Zhao Fei, Yang Li-Jun
School of Astronautics, Beihang University, Beijing 100191, P.R. China.
Phys Rev E. 2016 Dec;94(6-1):063113. doi: 10.1103/PhysRevE.94.063113. Epub 2016 Dec 27.
We investigate the application of the dissipative particle dynamics method to the instability problem of a long liquid thread surrounded by another fluid. The dispersion curves obtained from simulations are compared with classic theoretical predictions. The results from standard dissipative particle dynamics (DPD) simulations at first have a tendency of gradually approaching to Tomotika's Stokes flow prediction when the Reynolds number is decreased. But they then abnormally deviate again when the viscosity is very large. The same phenomenon is also confirmed in droplet retraction simulations when also compared with theoretical Stokes flow results. On the other hand, when a hard-core DPD model is used, with the decrease of the Reynolds number the simulation results did finally approach Tomotika's predictions when Re≈0.1. A combined presentation of the hard-core DPD results and the standard DPD results, excluding the abnormal ones, demonstrates that they are approximately on a continuum when labeled with Reynolds number. These results suggest that the standard DPD method is a suitable method for investigation of the instability problem of immersed liquid thread in the inertioviscous regime (0.1<Re<10), which is relevant for microfluidics applications but there is currently no theory. It cannot reach the Re≈0.1 regime because of some irregular properties of highly viscous DPD fluid, while the hard-core DPD is suitable to overcome this inferiority with standard DPD.
我们研究了耗散粒子动力学方法在被另一种流体包围的长液线不稳定性问题中的应用。将模拟得到的色散曲线与经典理论预测进行了比较。标准耗散粒子动力学(DPD)模拟结果最初在雷诺数降低时呈现出逐渐接近友田的斯托克斯流预测的趋势。但当粘度非常大时,它们随后又异常偏离。在与理论斯托克斯流结果比较的液滴回缩模拟中也证实了相同的现象。另一方面,当使用硬核DPD模型时,随着雷诺数的降低,当Re≈0.1时模拟结果最终确实接近友田的预测。排除异常结果后,硬核DPD结果和标准DPD结果的综合呈现表明,当用雷诺数标记时它们大致在一个连续体上。这些结果表明,标准DPD方法是研究惯性粘性区域(0.1<Re<10)中浸没液线不稳定性问题的合适方法,这与微流体应用相关,但目前尚无理论。由于高粘性DPD流体的一些不规则特性,它无法达到Re≈0.1的区域,而硬核DPD适合克服标准DPD的这一劣势。