LAPSE:2019.0590
Published Article
LAPSE:2019.0590
Discrete Element Method Model Optimization of Cylindrical Pellet Size
Jiri Rozbroj, Jiri Zegzulka, Jan Necas, Lucie Jezerska
June 10, 2019
The DEM (Discrete Element Method) is one option for studying the kinematic behaviour of cylindrical pellets. The DEM experiments attempted to optimize the numerical model parameters that affected time and velocity as a cylindrical vessel emptied. This vessel was filled with cylindrical pellets. Optimization was accomplished by changing the coefficient of friction between particles and selecting the length accuracy grade of the sample cylindrical pellets. The initial state was a series of ten vessel-discharge experiments evaluated using PIV (Particle Image Velocimetry). The cylindrical pellet test samples were described according to their length in three accuracy grades. These cylindrical pellet length accuracy grades were subsequently used in the DEM simulations. The article discusses a comparison of the influence of the length accuracy grade of cylindrical pellets on optimal calibration of time and velocity when the cylindrical vessel is emptied. The accuracy grade of cylindrical pellet length in the DEM sample plays a significant role in relation to the complexity of a created simulation.
Keywords
DEM, friction coefficient, hopper discharge, particle image velocimetry, pellets
Suggested Citation
Rozbroj J, Zegzulka J, Necas J, Jezerska L. Discrete Element Method Model Optimization of Cylindrical Pellet Size. (2019). LAPSE:2019.0590
Author Affiliations
Rozbroj J: VSB-TU Ostrava, ENET Centre, Bulk Solids Centre, 17. listopadu 15, 708 33 Ostrava, Czech Republic
Zegzulka J: VSB-TU Ostrava, ENET Centre, Bulk Solids Centre, 17. listopadu 15, 708 33 Ostrava, Czech Republic
Necas J: VSB-TU Ostrava, ENET Centre, Bulk Solids Centre, 17. listopadu 15, 708 33 Ostrava, Czech Republic
Jezerska L: VSB-TU Ostrava, ENET Centre, Bulk Solids Centre, 17. listopadu 15, 708 33 Ostrava, Czech Republic [ORCID]
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Journal Name
Processes
Volume
7
Issue
2
Article Number
E101
Year
2019
Publication Date
2019-02-15
Published Version
ISSN
2227-9717
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PII: pr7020101, Publication Type: Journal Article
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LAPSE:2019.0590
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doi:10.3390/pr7020101
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Jun 10, 2019
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