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    Influence of contact parameters on Discrete Element method (DEM) simulations of flow from a hopper: Comparison with magnetic resonance imaging (MRI) measurements (2020)

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    Hopper DEM paper M. Danczyk 2020 resubmission2.docx (152.5Kb)
    Type of Content
    Journal Article
    UC Permalink
    https://hdl.handle.net/10092/102545
    
    Publisher's DOI/URI
    http://doi.org/10.1016/j.powtec.2020.06.002
    
    Publisher
    Elsevier BV
    ISSN
    0032-5910
    Language
    en
    Collections
    • Engineering: Journal Articles [1535]
    Authors
    Danczyk M
    Meaclem T
    Mehdizad M
    Clarke D
    Galvosas P
    Fullard L
    Holland D
    show all
    Abstract

    Here the effect of contact properties on discrete element method (DEM) simulations of dry granular flow was investigated. The particle contact properties were first measured using particle tracking velocimetry. DEM simulations of flow from hoppers with outlet angles of 30°, 60° and 90° were then performed. The simulations were validated by comparison with experimental measurements of the flow rate from the hopper and magnetic resonance imaging (MRI) measurements of the velocities of the particles within the hopper. The mass flow rate predicted by DEM was insensitive to the contact properties used in the simulations, indicating flow rate is not a suitable parameter for validation. In contrast, the velocity of the particles in the central region of the hoppers was sensitive to the coefficients of friction. The best agreement between the simulations and the MRI measurements of the velocities of the particles was obtained using the a priori measured contact parameters.

    Citation
    Danczyk M, Meaclem T, Mehdizad M, Clarke D, Galvosas P, Fullard L, Holland D (2020). Influence of contact parameters on Discrete Element method (DEM) simulations of flow from a hopper: Comparison with magnetic resonance imaging (MRI) measurements. Powder Technology.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    ANZSRC Fields of Research
    30 - Agricultural, veterinary and food sciences::3002 - Agriculture, land and farm management::300207 - Agricultural systems analysis and modelling
    40 - Engineering::4099 - Other engineering::409901 - Agricultural engineering
    Rights
    All rights reserved unless otherwise stated
    http://hdl.handle.net/10092/17651

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