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

Debanjan Mukherjee; Tarek I. Zohdi

doi:10.1016/j.jcp.2015.02.034

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

Debanjan Mukherjee, Tarek I. Zohdi

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

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.

Original language	English (US)
Pages (from-to)	298-317
Number of pages	20
Journal	Journal of Computational Physics
Volume	290
DOIs	https://doi.org/10.1016/j.jcp.2015.02.034
State	Published - Jun 2015
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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10.1016/j.jcp.2015.02.034

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title = "A discrete element based simulation framework to investigate particulate spray deposition processes",

abstract = "{\textcopyright} 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.",

author = "Debanjan Mukherjee and Zohdi, {Tarek I.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2015",

month = jun,

doi = "10.1016/j.jcp.2015.02.034",

language = "English (US)",

volume = "290",

pages = "298--317",

journal = "Journal of Computational Physics",

issn = "0021-9991",

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AU - Mukherjee, Debanjan

AU - Zohdi, Tarek I.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2015/6

Y1 - 2015/6

N2 - © 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.

AB - © 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.

UR - http://hdl.handle.net/10754/597256

UR - https://linkinghub.elsevier.com/retrieve/pii/S0021999115001047

UR - http://www.scopus.com/inward/record.url?scp=84924952774&partnerID=8YFLogxK

U2 - 10.1016/j.jcp.2015.02.034

DO - 10.1016/j.jcp.2015.02.034

M3 - Article

SN - 0021-9991

VL - 290

SP - 298

EP - 317

JO - Journal of Computational Physics

JF - Journal of Computational Physics

ER -

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

Abstract

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