An Analysis of CFD-DEM with Coarse Graining for Turbulent Particle-Laden Jet Flows

Author:

Weaver Dustin Steven1ORCID,Mišković Sanja1ORCID

Affiliation:

1. Norman B. Keevil Institute of Mining Engineering, Faculty of Applied Science, University of British Columbia, 517-6350 Stores Road, Vancouver, BC V6T 1Z4, Canada

Abstract

This paper presents the results of simulations of particle-laden air–solid jet flow in long straight tubes using CFD-DEM, along with an analysis of coarse-graining. Although previous studies have used CFD-DEM for similar flows, these have typically been in a dilute flow regime where uncoupled simulations can be used effectively. However, fully coupled simulations can introduce issues, necessitating validation studies to ensure that all coupling parameters are effectively used and that the physics is accurately represented. This paper validated the simulations against two different experimental studies, with fluid Reynolds numbers between 10,000 and 40,000 and Stokes numbers between 5.6 and 50. Interestingly, the profiles of the mean particle velocity exhibited fewer discrepancies as the Stokes number increased, but more discrepancies for the root-mean-squared velocity compared to the experiments. The particle number flux was consistent with the experiments after the nozzle exit. Coarse-graining was also applied to the same simulations, achieving relatively accurate results. However, as expected, the scaling of contact collision frequencies, forces, and stresses could not be achieved, meaning that coarse-graining may be useful for comparing designs or operating parameters on an industrial scale, but falls short when measuring the total energy dissipation of one experiment.

Funder

Mitacs

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference57 articles.

1. Coates, E., and Lee, J. (2022). High Slurry Density Hydraulic Disassociation System. (9815066), U.S. Patent.

2. Coates, J.A., Seriven, D.H., Coates, C., and Coates, E. (2022). Methods for Processing Heterogeneous Materials. (11213829), U.S. Patent.

3. Coates, J.A., Seriven, D.H., Coates, C., and Coates, E. (2014). Devices, Systems, and Methods for Processing Heterogeneous Materials. (8646705), U.S. Patent.

4. Coates, J.A., Seriven, D.H., Coates, C., and Coates, E. (2018). Devices, Systems, and Methods for Processing Heterogeneous Materials. (9914132), U.S. Patent.

5. Velocity and particle-flux characteristics of turbulent particle-laden jets;Hardalupas;Proc. R. Soc. London A Math. Phys. Sci.,1989

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3