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Attractive particle interaction forces and packing density of fine glass powders.

Parteli EJ, Schmidt J, Blümel C, Wirth KE, Peukert W, Pöschel T - Sci Rep (2014)

Bottom Line: We study the packing of fine glass powders of mean particle diameter in the range (4-52) μm both experimentally and by numerical DEM simulations.Our results suggest that considering only viscoelastic and adhesive forces in DEM simulations may lead to incorrect numerical predictions of the behavior of fine powders.Based on the results from simulations and experiments, we propose a mathematical expression to estimate the packing fraction of fine polydisperse powders as a function of the average particle size.

View Article: PubMed Central - PubMed

Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.

ABSTRACT
We study the packing of fine glass powders of mean particle diameter in the range (4-52) μm both experimentally and by numerical DEM simulations. We obtain quantitative agreement between the experimental and numerical results, if both types of attractive forces of particle interaction, adhesion and non-bonded van der Waals forces are taken into account. Our results suggest that considering only viscoelastic and adhesive forces in DEM simulations may lead to incorrect numerical predictions of the behavior of fine powders. Based on the results from simulations and experiments, we propose a mathematical expression to estimate the packing fraction of fine polydisperse powders as a function of the average particle size.

No MeSH data available.


Related in: MedlinePlus

Numerical simulation of the powder packing.The figure displays a packing of 6172 cohesionless spherical particles of size distribution shown in Fig. 1i. The box size is Lx = Ly = 0.3351 mm (periodic boundary conditions) and Lz = 4.2 mm. Figures a–c show snapshots at time (in milliseconds) 0, 20 and 140.
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f2: Numerical simulation of the powder packing.The figure displays a packing of 6172 cohesionless spherical particles of size distribution shown in Fig. 1i. The box size is Lx = Ly = 0.3351 mm (periodic boundary conditions) and Lz = 4.2 mm. Figures a–c show snapshots at time (in milliseconds) 0, 20 and 140.

Mentions: For the simulation we adopt the mass fractions of each particle size in the sample as obtained from the corresponding volume density distribution used in the experiment, Fig. 1. Silica glass particles are deposited in a rectangular box of lateral dimensions Lx × Ly, where Lx = Ly = 12 〈d〉, with 〈d〉 standing for the mean particle size, specific for each sample. We apply periodic boundary conditions in the directions x and y (Fig. 2). A frictional wall is placed at the floor, z = 0, while the height of the box (Lz) is set large enough such as to produce packings with depth larger than 30 〈d〉. The equations used for computing the forces between particles and the frictional wall at the bottom are the same used for modeling particle-particle collisions where one of the contact partners is of infinite mass and radius. For particle-wall contacts we neglect attractive forces.


Attractive particle interaction forces and packing density of fine glass powders.

Parteli EJ, Schmidt J, Blümel C, Wirth KE, Peukert W, Pöschel T - Sci Rep (2014)

Numerical simulation of the powder packing.The figure displays a packing of 6172 cohesionless spherical particles of size distribution shown in Fig. 1i. The box size is Lx = Ly = 0.3351 mm (periodic boundary conditions) and Lz = 4.2 mm. Figures a–c show snapshots at time (in milliseconds) 0, 20 and 140.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4151152&req=5

f2: Numerical simulation of the powder packing.The figure displays a packing of 6172 cohesionless spherical particles of size distribution shown in Fig. 1i. The box size is Lx = Ly = 0.3351 mm (periodic boundary conditions) and Lz = 4.2 mm. Figures a–c show snapshots at time (in milliseconds) 0, 20 and 140.
Mentions: For the simulation we adopt the mass fractions of each particle size in the sample as obtained from the corresponding volume density distribution used in the experiment, Fig. 1. Silica glass particles are deposited in a rectangular box of lateral dimensions Lx × Ly, where Lx = Ly = 12 〈d〉, with 〈d〉 standing for the mean particle size, specific for each sample. We apply periodic boundary conditions in the directions x and y (Fig. 2). A frictional wall is placed at the floor, z = 0, while the height of the box (Lz) is set large enough such as to produce packings with depth larger than 30 〈d〉. The equations used for computing the forces between particles and the frictional wall at the bottom are the same used for modeling particle-particle collisions where one of the contact partners is of infinite mass and radius. For particle-wall contacts we neglect attractive forces.

Bottom Line: We study the packing of fine glass powders of mean particle diameter in the range (4-52) μm both experimentally and by numerical DEM simulations.Our results suggest that considering only viscoelastic and adhesive forces in DEM simulations may lead to incorrect numerical predictions of the behavior of fine powders.Based on the results from simulations and experiments, we propose a mathematical expression to estimate the packing fraction of fine polydisperse powders as a function of the average particle size.

View Article: PubMed Central - PubMed

Affiliation: Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.

ABSTRACT
We study the packing of fine glass powders of mean particle diameter in the range (4-52) μm both experimentally and by numerical DEM simulations. We obtain quantitative agreement between the experimental and numerical results, if both types of attractive forces of particle interaction, adhesion and non-bonded van der Waals forces are taken into account. Our results suggest that considering only viscoelastic and adhesive forces in DEM simulations may lead to incorrect numerical predictions of the behavior of fine powders. Based on the results from simulations and experiments, we propose a mathematical expression to estimate the packing fraction of fine polydisperse powders as a function of the average particle size.

No MeSH data available.


Related in: MedlinePlus