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    A discrete element based simulation framework to investigate particulate spray deposition processes

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    Type
    Article
    Authors
    Mukherjee, Debanjan
    Zohdi, Tarek I.
    Date
    2015-06
    Permanent link to this record
    http://hdl.handle.net/10754/597256
    
    Metadata
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    Abstract
    © 2015 Elsevier Inc. This work presents a computer simulation framework based on discrete element method to analyze manufacturing processes that comprise a loosely flowing stream of particles in a carrier fluid being deposited on a target surface. The individual particulate dynamics under the combined action of particle collisions, fluid-particle interactions, particle-surface contact and adhesive interactions is simulated, and aggregated to obtain global system behavior. A model for deposition which incorporates the effect of surface energy, impact velocity and particle size, is developed. The fluid-particle interaction is modeled using appropriate spray nozzle gas velocity distributions and a one-way coupling between the phases. It is found that the particle response times and the release velocity distribution of particles have a combined effect on inter-particle collisions during the flow along the spray. It is also found that resolution of the particulate collisions close to the target surface plays an important role in characterizing the trends in the deposit pattern. Analysis of the deposit pattern using metrics defined from the particle distribution on the target surface is provided to characterize the deposition efficiency, deposit size, and scatter due to collisions.
    Citation
    Mukherjee D, Zohdi TI (2015) A discrete element based simulation framework to investigate particulate spray deposition processes. Journal of Computational Physics 290: 298–317. Available: http://dx.doi.org/10.1016/j.jcp.2015.02.034.
    Sponsors
    The authors would like to acknowledge the financial support provided by Siemens Energy through the "Center of Knowledge Interchange" (CKI) program at University of California, Berkeley, and the support provided through the ongoing collaboration between King Abdullah University of Science and Technology (KAUST), and University of California, Berkeley.
    Publisher
    Elsevier BV
    Journal
    Journal of Computational Physics
    DOI
    10.1016/j.jcp.2015.02.034
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jcp.2015.02.034
    Scopus Count
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