Predicting the flow mode from hoppers using the discrete element method

Ketterhagen, William R.; Curtis, Jennifer; Wassgren, Carl; Hancock, Bruno C.

doi:10.1016/j.powtec.2009.05.002

Cited by 190 publications

(103 citation statements)

References 40 publications

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“…Thus understanding the dynamical behavior of GM is central to a large number of engineering disciplines with applications in mining, agriculture and various other fields [1,2,3,4]. Methods belonging to the Discrete Element Method (DEM) family which treats granular material as a system of individual particles, as opposed to a continuum description which averages particle properties, has shown the most promise [5].…”

Section: Background and Motivationmentioning

confidence: 99%

Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs

Govender

Wilke

Kok

et al. 2014

Journal of Computational and Applied Mathematics

106

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Understanding the dynamical behavior of Granular Media (GM) is extremely important to many industrial processes. Thus simulating the dynamics of GM is critical in the design and optimization of such processes. However, the dynamics of GM is complex in nature and cannot be described by a closed form solution for more than a few particles. A popular and successful approach in simulating the underlying dynamics of GM is by using the Discrete Element Method (DEM). Computational viable simulations are typically restricted to a few particles with realistic complex interactions or a larger number of particles with simplified interactions. This paper introduces a novel DEM based particle simulation code (BLAZE-DEM) that is capable of simulating millions of particles on a desktop computer utilizing a NVIDIA Kepler Graphical Processor Unit (GPU) via the CUDA programming model. The GPU framework of BLAZE-DEM is limited to applications that require large numbers of particles with simplified interactions such as hopper flow which exhibits task level parallelism that can be exploited on the GPU. BLAZE-DEM also performs real-time visualization with interactive capabilities. In this paper we discuss our GPU framework and validate our code by comparison between experimental and numerical hopper flow.

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Section: Background and Motivationmentioning

confidence: 99%

Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs

Govender

Wilke

Kok

et al. 2014

Journal of Computational and Applied Mathematics

106

View full text Add to dashboard Cite

show abstract

“…Ketterhagen et al studied the particle flow mode with hopper and delineated the mass-flow and funnel-flow behavior based on the hopper wall angle. 21) In addition, the author proposed a Mass Flow Index (MFI) to quantitatively characterize the nature of the flow pattern as a mass-flow, funnel-flow, or some intermediate.…”

Section: Effect Of the Main Feeding Belt Position On Burden Distributmentioning

confidence: 99%

Effect of the Main Feeding Belt Position on Burden Distribution during the Charging Process of Bell-less Top Blast Furnace with Two Parallel Hoppers

Cheng

Niu

et al. 2017

ISIJ Int.

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“…e screw feeder is widely used in the short distance transportation of bulk material in agricultural and biological engineering [1][2][3][4][5][6]. It is mainly composed of trough, bin, and screw shaft.…”

Section: Introductionmentioning

confidence: 99%

Contact Forces in a Screw Feeding Process

Shi

Zhang

Cui

et al. 2018

Advances in Materials Science and Engineering

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e contact force between particles is analysed in this paper. Firstly, theoretical analysis is carried out based on the Hertz-Mindlin (no slip) model. Secondly, the normal force and tangential force are, respectively, simulated in single/double-flight screw feeders with the discharging device at three rotating speeds (60 rpm, 90 rpm, and 120 rpm) using different diameter particles (3 mm, 5 mm, and 7 mm) by the extended distinct element method (EDEM) software. Finally, the simulation results show that the particle diameter has the biggest impact on average contact force in the feeding process. is research provides theoretical basis for the study of the rule of bulk material movement in the screw feeder and the development of the high-precision feeding machine.

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Predicting the flow mode from hoppers using the discrete element method

Cited by 190 publications

References 40 publications

Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs

Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs

Effect of the Main Feeding Belt Position on Burden Distribution during the Charging Process of Bell-less Top Blast Furnace with Two Parallel Hoppers

Contact Forces in a Screw Feeding Process

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