Effect of Rolling Resistance in Dem Models With Spherical Bodies

Dubina, Radek; Eliáš, Jan

doi:10.1515/tvsb-2016-0009

Cited by 1 publication

(2 citation statements)

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“…The geometry of the bed has been selected according to [13], which is a cylindrical crucible with diameter of 20 mm and height of 18 mm in order to validate the numerical data.…”

Section: Simulation Conditionsmentioning

confidence: 99%

“…One of the parameters that affects the accuracy of the DEM simulations for generating packed beds of particles is rolling friction between the particles and the particles and the wall. Rolling friction is a moment-induced to the contact point between two discrete elements that could mimic the rolling behavior of two complex shaped particles [13][14][15]. Goniva et al [16] showed that the CFD-DEM simulations results would be improved to a great extent only by applying a proper rolling friction model.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Discrete Element Method Parameters on Realistic Representation of Spherical Particles in a Packed Bed

Ghasemi Monfared,

Hellström,

Umeki

2024

Processes

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Packed bed reactors play a crucial role in various industrial applications. This paper utilizes the Discrete Element Method (DEM), an efficient numerical technique for simulating the behavior of packed beds of particles as discrete phases. The focus is on generating densely packed particle beds. To ensure the model accuracy, specific DEM parameters were studied, including sub-step and rolling resistance. The analysis of the packed bed model extended to a detailed exploration of void fraction distribution along radial and vertical directions, considering the impact of wall interactions. Three different samples, spanning particle sizes from 0.3 mm to 6 mm, were used. Results indicated that the number of sub-steps significantly influences void fraction precision, a key criterion for comparing simulations with experimental results. Additionally, the study found that both loosely and densely packed beds of particles could be accurately represented by incorporating appropriate values for rolling friction. This value serves as an indicator of both inter-particle friction and friction between particles and the walls. An optimal rolling friction coefficient has been thereby suggested for the precise representation for the densely packed bed of spherical char particles.

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“…The geometry of the bed has been selected according to [13], which is a cylindrical crucible with diameter of 20 mm and height of 18 mm in order to validate the numerical data.…”

Section: Simulation Conditionsmentioning

confidence: 99%