Evaluation of physics based hard-sphere model with the soft sphere model for dense fluid-particle flow systems

被引:20
作者
Elghannay, Husam [1 ,3 ]
Tafti, Danesh [1 ]
Yu, Kuahai [2 ]
机构
[1] Virginia Tech, Dept Mech Engn, Blacksburg, VA 24061 USA
[2] Henan Univ Sci & Technol, Dept Engn Mech, Luoyang 471023, Peoples R China
[3] Univ Benghazi, Mech Engn Dept, Benghazi, Libya
关键词
CFD-DEM; Particulate flow simulations; Hard sphere collision model; Time driven advancement; Physics-based impact model; MOLECULAR-DYNAMICS; SIMULATION; VALIDATION; COLLISIONS; TRANSPORT; MOTION; DUCT; BED;
D O I
10.1016/j.ijmultiphaseflow.2018.12.004
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In this paper we present the application of a physics-based three dimensional hard-sphere impact model to many-particle systems. The hard sphere model is used with conventional time-advancement which is not event driven. A particle relocation technique based on using both pre- and post-collision velocities is developed and validated for dense systems. Also developed is a parallelization scheme which overcomes the inherent sequential nature of processing collisions with the hard sphere model. The relocation technique is tested in a one-dimensional stack of particles and in the three-dimensional settling of a bed of particles. The technique demonstrates its ability to prevent excessive overlaps and maintaining stable stacks of particles at coefficients of restitutions ranging from 0.0 to 0.98. The model is validated in a bubbling fluidized bed and shows no discernable differences with the soft sphere model but at a computational cost about 23 times less than that of the soft sphere model. The model is used to investigate particle agglomeration of 20 mu m size particles in a turbulent ribbed duct flow using LES. It was found that the 20 mu m particles were prone to agglomerate in regions of low velocity at the upstream and downstream corners of the rib-wall junction. The hard sphere model enabled time steps an order of magnitude larger than that permissible for the soft sphere model which resulted in DEM speedups of more than 20 times. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:100 / 115
页数:16
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