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

Handle URI:
http://hdl.handle.net/10754/597256
Title:
A discrete element based simulation framework to investigate particulate spray deposition processes
Authors:
Mukherjee, Debanjan; Zohdi, Tarek I.
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.
Publisher:
Elsevier BV
Journal:
Journal of Computational Physics
Issue Date:
Jun-2015
DOI:
10.1016/j.jcp.2015.02.034
Type:
Article
ISSN:
0021-9991
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.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorMukherjee, Debanjanen
dc.contributor.authorZohdi, Tarek I.en
dc.date.accessioned2016-02-25T12:29:06Zen
dc.date.available2016-02-25T12:29:06Zen
dc.date.issued2015-06en
dc.identifier.citationMukherjee 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.en
dc.identifier.issn0021-9991en
dc.identifier.doi10.1016/j.jcp.2015.02.034en
dc.identifier.urihttp://hdl.handle.net/10754/597256en
dc.description.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.en
dc.description.sponsorshipThe 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.en
dc.publisherElsevier BVen
dc.subjectDiscrete element methoden
dc.subjectParticle collisionsen
dc.subjectParticle depositionen
dc.subjectSpray dynamicsen
dc.titleA discrete element based simulation framework to investigate particulate spray deposition processesen
dc.typeArticleen
dc.identifier.journalJournal of Computational Physicsen
dc.contributor.institutionUC Berkeley, Berkeley, United Statesen
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