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Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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CFD-DEM study of air entrainment in falling particle plumes

Authors: Qijun Zheng; Kaiwei Chu; Kaiwei Chu; Aibing Yu; R.H. Pan; Yong Wang;

CFD-DEM study of air entrainment in falling particle plumes

Abstract

Abstract Dust emission due to air entrainment in falling solids/particle plumes is a common and serious environmental issue in industry. The prediction of the flowrate of air induced by falling particles is pivotal for the design of dust removal equipment in practice but until now there is still limited reliable correlations available. In this work, the process of air entrainment in falling plumes of particles is numerically studied by a combined approach of Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) (CFD-DEM). A 2D CFD-DEM model is first compared against two 3D models. Then the 2D model is validated against experiments qualitatively at small scale and quantitatively at large scale. Finally the model is used to predict the effect of various important variables including drop height and solids mass flowrate at an industrial scale.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%