@Article{CiCP-30-3,
author = {Yi, Mo and Zichao, Long and Zhang, Pingwen},
title = {A Direct Numerical Simulation (DNS) Study on the Effect of Particle Configuration on Drag},
journal = {Communications in Computational Physics},
year = {2021},
volume = {30},
number = {3},
pages = {799--819},
abstract = {<p style="text-align: justify;">Drag correlations are very important in particle-laden two-phase flow simulations. Some statistical studies have investigated extracting particle configuration
factors from simulation data to improve drag correlations. However, little attention
has been paid to studying particle configuration effects on drag from the perspective
of the flow mechanism. In this paper, a direct numerical simulation (DNS) method
based on the second-order accurate immersion interface method is developed to provide highly reliable data. Then, the &#39;shielding&#39; effect of the two-particle configuration
on drag is comprehensively analysed under different angles, distances, and Reynolds
number $(Re)$ values, revealing that the complex configuration dependence of the drag
influence is attributed to the dominant flow mechanism, such as the &#39;pressure region
unit&#39;, &#39;nozzle&#39;, and &#39;wake&#39; effects. Moreover, we study the &#39;superposition&#39; effect of the
three-particle configuration on drag in a finite $Re$ range. The results show that when
the surrounding particles do not directly shield each other, the drag influence calculated by pairwise linear superposition is close to the drag influence revealed by DNS.
Otherwise, when the shielding phenomenon of the surrounding particles is obvious
and the $Re$ is high, the drag influence of the nearest particle can represent the DNS
result.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2021-0009},
url = {https://global-sci.com/article/79585/a-direct-numerical-simulation-dns-study-on-the-effect-of-particle-configuration-on-drag}
}