DEM simulation of dense granular flows in a vane shear cell: Kinematics and rheological laws

Qi, Fenglei; Kiesgen de Richter, Sebastien; Jenny, Mathieu; Peters, Bernhard

Reference : DEM simulation of dense granular flows in a vane shear cell: Kinematics and rheologic...


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Chemical engineering
	Focus Areas :	Computational Sciences; Physics and Materials Science
	To cite this reference:	http://hdl.handle.net/10993/42911

Title :	DEM simulation of dense granular flows in a vane shear cell: Kinematics and rheological laws
Language :	English
Author, co-author :	Qi, Fenglei [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Kiesgen de Richter, Sebastien []
	Jenny, Mathieu []
	Peters, Bernhard [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	2020
Journal title :	Powder Technology
Publisher :	Elsevier
Peer reviewed :	Yes (verified by ORBi^lu)
ISSN :	0032-5910
City :	Lausanne
Country :	Netherlands
Keywords :	[en] Annular Couette cell ; Discrete element method (DEM) ; Extended kinetic theory ; Granular flow ; Rheology
Abstract :	[en] The rheology of dense granular flows is investigated through discrete element method (DEM) simulation of a vane shear cell. From the simulation, profiles of shear stress, shear rate, and velocity are obtained, which demonstrates that the flow features in the vane shear cell are equivalent to those in the classic annular Couette cell. A novel correlation for the shear viscosity is formulated and leads to a new expression for μKT in the kinetic theory analysis. The μKT formulation is able to qualitatively capture the μ-I relation in the shear cell. A correlation length is added in the energy dissipation term to account for the effects of the particle motion correlation. A simplified correlation length model is derived based on DEM results and is compared with the literature. The modified granular kinetic energy equation is able to correctly predict the granular temperature profiles in the shear cell.
Research centres :	University of Luxembourg: Luxembourg XDEM Research Centre - LuXDEM
Funders :	the European programme Interreg VA GR
Name of the research project :	PowderReg
Permalink :	http://hdl.handle.net/10993/42911

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