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Volume 30, Issue 3
A Direct Numerical Simulation (DNS) Study on the Effect of Particle Configuration on Drag

Yi Mo, Zichao Long & Pingwen Zhang

Commun. Comput. Phys., 30 (2021), pp. 799-819.

Published online: 2021-07

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  • Abstract

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 'shielding' 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 'pressure region unit', 'nozzle', and 'wake' effects. Moreover, we study the 'superposition' 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.

  • AMS Subject Headings

35Q30, 76D05, 76M20, 76T15

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COPYRIGHT: © Global Science Press

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@Article{CiCP-30-799, author = {Mo , YiLong , Zichao 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 = {

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 'shielding' 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 'pressure region unit', 'nozzle', and 'wake' effects. Moreover, we study the 'superposition' 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.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2021-0009}, url = {http://global-sci.org/intro/article_detail/cicp/19312.html} }
TY - JOUR T1 - A Direct Numerical Simulation (DNS) Study on the Effect of Particle Configuration on Drag AU - Mo , Yi AU - Long , Zichao AU - Zhang , Pingwen JO - Communications in Computational Physics VL - 3 SP - 799 EP - 819 PY - 2021 DA - 2021/07 SN - 30 DO - http://doi.org/10.4208/cicp.OA-2021-0009 UR - https://global-sci.org/intro/article_detail/cicp/19312.html KW - Particle-laden two-phase flow, direct numerical simulation, particle configuration, drag, flow mechanism. AB -

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 'shielding' 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 'pressure region unit', 'nozzle', and 'wake' effects. Moreover, we study the 'superposition' 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.

Yi Mo, Zichao Long & Pingwen Zhang. (2021). A Direct Numerical Simulation (DNS) Study on the Effect of Particle Configuration on Drag. Communications in Computational Physics. 30 (3). 799-819. doi:10.4208/cicp.OA-2021-0009
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