An optimized Eulerian-Lagrangian method for two-phase flow with coarse particles: Implementation in open-source field operation and manipulation, verification, and validation | |
Zhang Y(张岩)1,2; Lu XB(鲁晓兵)1,2,3; Zhang XH(张旭辉)1,2,3 | |
通讯作者 | Zhang, Xu-Hui([email protected]) |
发表期刊 | PHYSICS OF FLUIDS |
2021-11-01 | |
卷号 | 33期号:11页码:23 |
ISSN | 1070-6631 |
摘要 | The solid-liquid two-phase flow with coarse particles is ubiquitous in natural phenomena and engineering practice, which is characterized by coarse particles, high particle concentration, and large particle size distribution. In this work, the numerical models describing two-phase flows are reviewed, which given that the Eulerian-Lagrangian method is applicable in this work. Then, some modified models are proposed for the situation where the conventional Eulerian-Lagrangian method is not applicable to deal with coarse particles. The continuous phase equations of liquid are solved based on the finite volume method. The pressure implicit with splitting of operators algorithm for solving the Navier-Stokes (N-S) equations of the pseudo-single-phase flow, considering phase fraction and momentum exchange source term, is proposed. The discrete coarse particle is tracked in the Lagrangian method. A virtual mass distribution function is proposed for calculating coarse particle volume fraction. A weighted function method relating to the particle size is given for the interpolation between the Eulerian and Lagrangian fields. The barycentric coordinates are introduced into the particle localization. All the modified models are algorithmically implanted in the open-source field operation and manipulation (OpenFOAM) as a new solver named coarse discrete particle method FOAM (CoarseDPMFoam). Subsequently, the applicability of the numerical simulation method is verified by some typical test cases. The proposed numerical simulation method provides new ideas and methods for the mechanism investigation and engineering application of the two-phase flow with coarse particles. |
DOI | 10.1063/5.0067553 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000723257700006 |
关键词[WOS] | GAS-SOLID FLOW ; NUMERICAL-SIMULATION ; CONSTITUTIVE MODELS ; PROPPANT TRANSPORT ; DEM SIMULATION ; FLUID-FLOW ; ALGORITHM ; DISSOCIATION ; FORMULATIONS ; EFFICIENT |
WOS研究方向 | Mechanics ; Physics |
WOS类目 | Mechanics ; Physics, Fluids & Plasmas |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA22000000] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0307] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2017027] |
项目资助者 | Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) ; Youth Innovation Promotion Association of Chinese Academy of Sciences |
论文分区 | 一类/力学重要期刊 |
力学所作者排名 | 1 |
RpAuthor | Zhang, Xu-Hui |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/88038 |
专题 | 流固耦合系统力学重点实验室 |
作者单位 | 1.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China; 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China; 3.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang Y,Lu XB,Zhang XH. An optimized Eulerian-Lagrangian method for two-phase flow with coarse particles: Implementation in open-source field operation and manipulation, verification, and validation[J]. PHYSICS OF FLUIDS,2021,33,11,:23.Rp_Au:Zhang, Xu-Hui |
APA | 张岩,鲁晓兵,&张旭辉.(2021).An optimized Eulerian-Lagrangian method for two-phase flow with coarse particles: Implementation in open-source field operation and manipulation, verification, and validation.PHYSICS OF FLUIDS,33(11),23. |
MLA | 张岩,et al."An optimized Eulerian-Lagrangian method for two-phase flow with coarse particles: Implementation in open-source field operation and manipulation, verification, and validation".PHYSICS OF FLUIDS 33.11(2021):23. |
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