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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Dynamic coefficient of friction and granular drag force in dense particle flows: Experiments and DEM simulations

Authors: Paul A. Moysey; Nadella V. Rama Rao; Malcolm H.I. Baird;

Dynamic coefficient of friction and granular drag force in dense particle flows: Experiments and DEM simulations

Abstract

Abstract The vertical granular drag force on objects held stationary in a moving bed of nickel pellets with diameters in the range 1–10 mm has been measured and compared with Discrete Element Method (DEM) simulations. Experiments were carried out with horizontal wooden rods, and horizontal and vertical thin plates made of mild steel or Teflon. The experimental data are correlated by semi-empirical equations based on the “supported mass” of pellets in the region above the object, and dynamic friction coefficients acting on vertical surfaces from least-squares regression. Dynamic coefficients of friction for nickel on steel and nickel on Teflon are reported. The correlation is compared with an expression based on Janssen's equation using the experimentally determined coefficients of friction. These results are compared with DEM simulations, which examine the effects of particle size distribution, mass flow rate, plate friction coefficient μ and the simulation parameter K 1 , which is analogous to a spring constant. The correlation follows the trends of the data and the DEM results agree well with the experimental data over a wide range of conditions. The DEM simulations were carried out on Graphics Processing Units (GPU) that enabled a speed-up factor of ~ 40, and some aspects of the implementation on GPUs are discussed.

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selected citations
These citations are derived from selected sources.
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%
Average
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