Article (Scientific journals)
Liquid transport rates during binary collisions of unequally-sized particles
Wu, Mingqiu; Johannes, Johannes; Radl, Stefan
2017In Powder Technology, 309 (1), p. 95-109
Peer Reviewed verified by ORBi
 

Files


Full Text
Wu_2017.pdf
Publisher postprint (2.21 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Granular flows; Liquid transport; Direct numerical simulation
Abstract :
[en] In this paper, we study the liquid transport between particles of different sizes, as well as build a dynamic liquid bridge model to predict liquid transport between these two particles. Specifically, the drainage process of liquid adhering to two unequally-sized, non-porous wet particles is simulated using direct numerical simulations (DNS). Same as in our previous work (Wu et al., AIChE Journal, 2016, 62:1877–1897), we first provide an analytical solution of a proposed dynamic liquid bridge model. We find that such an analytical solution also describes liquid transport during collisions of unequally-sized particles very well. Finally, we show that our proposed model structure is sufficient to collapse all our direct numerical simulation data. Our model is hence able to predict liquid transport rates in size-polydisperse systems for a wide range of parameters
Disciplines :
Chemical engineering
Author, co-author :
Wu, Mingqiu ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Johannes, Johannes;  a Institute of Process and Particle Engineering, Graz University of Technology, Inffeldgasse 13/III, 8010 Graz, Austria
Radl, Stefan;  a Institute of Process and Particle Engineering, Graz University of Technology, Inffeldgasse 13/III, 8010 Graz, Austria
External co-authors :
yes
Language :
English
Title :
Liquid transport rates during binary collisions of unequally-sized particles
Publication date :
09 March 2017
Journal title :
Powder Technology
ISSN :
0032-5910
eISSN :
1873-328X
Publisher :
Elsevier, Lausanne, Netherlands
Volume :
309
Issue :
1
Pages :
95-109
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Funders :
Austria science found (FWF)
Available on ORBilu :
since 06 May 2019

Statistics


Number of views
88 (12 by Unilu)
Number of downloads
1 (1 by Unilu)

Scopus citations®
 
7
Scopus citations®
without self-citations
6
OpenCitations
 
6
WoS citations
 
6

Bibliography


Similar publications



Contact ORBilu