Simulation of fluid flow in a microchannel at low reynolds number using dissipative particle dynamics

Waqas Waheed; Anas Alazzam; Ashraf N. Al Khateeb; Eiyad Abu Nada

doi:10.1115/IMECE201887622

Simulation of fluid flow in a microchannel at low reynolds number using dissipative particle dynamics

Waqas Waheed, Anas Alazzam, Ashraf N. Al Khateeb, Eiyad Abu Nada

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a two-dimensional Dissipative Particle Dynamics (DPD) technique to simulate the poiseuille flow in a microchannel is developed using an in-house code. The calculated Reynolds number is reduced via adjusting the DPD parameters. The obtained velocity profile is compared with the analytical results and a good agreement is found. The drag force and the drag coefficient on a stationary cylinder exerted by the fluid particles are obtained using the developed DPD code. The calculated drag coefficient exhibits a close match with already published data in the literature.

Original language	British English
Title of host publication	Micro- and Nano-Systems Engineering and Packaging
ISBN (Electronic)	9780791852156
DOIs	https://doi.org/10.1115/IMECE201887622
State	Published - 2018
Event	ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 - Pittsburgh, United States Duration: 9 Nov 2018 → 15 Nov 2018

Publication series

Name	ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume	10

Conference

Conference	ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
Country/Territory	United States
City	Pittsburgh
Period	9/11/18 → 15/11/18

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10.1115/IMECE201887622

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title = "Simulation of fluid flow in a microchannel at low reynolds number using dissipative particle dynamics",

abstract = "In this paper, a two-dimensional Dissipative Particle Dynamics (DPD) technique to simulate the poiseuille flow in a microchannel is developed using an in-house code. The calculated Reynolds number is reduced via adjusting the DPD parameters. The obtained velocity profile is compared with the analytical results and a good agreement is found. The drag force and the drag coefficient on a stationary cylinder exerted by the fluid particles are obtained using the developed DPD code. The calculated drag coefficient exhibits a close match with already published data in the literature.",

author = "Waqas Waheed and Anas Alazzam and {Al Khateeb}, {Ashraf N.} and Nada, {Eiyad Abu}",

note = "Funding Information: The authors acknowledge the funding from Al Jalila Foundation, Dubai, UAE for this work through their seed funding program, grant # AJF201618. Publisher Copyright: {\textcopyright} 2018 ASME.; ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 ; Conference date: 09-11-2018 Through 15-11-2018",

year = "2018",

doi = "10.1115/IMECE201887622",

language = "British English",

series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",

booktitle = "Micro- and Nano-Systems Engineering and Packaging",

}

Waheed, W, Alazzam, A , Al Khateeb, AN & Nada, EA 2018, Simulation of fluid flow in a microchannel at low reynolds number using dissipative particle dynamics. in Micro- and Nano-Systems Engineering and Packaging. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 10, ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018, Pittsburgh, United States, 9/11/18. https://doi.org/10.1115/IMECE201887622

Simulation of fluid flow in a microchannel at low reynolds number using dissipative particle dynamics. / Waheed, Waqas; Alazzam, Anas ; Al Khateeb, Ashraf N. et al.
Micro- and Nano-Systems Engineering and Packaging. 2018. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); Vol. 10).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Simulation of fluid flow in a microchannel at low reynolds number using dissipative particle dynamics

AU - Waheed, Waqas

AU - Alazzam, Anas

AU - Al Khateeb, Ashraf N.

AU - Nada, Eiyad Abu

N1 - Funding Information: The authors acknowledge the funding from Al Jalila Foundation, Dubai, UAE for this work through their seed funding program, grant # AJF201618. Publisher Copyright: © 2018 ASME.

PY - 2018

Y1 - 2018

N2 - In this paper, a two-dimensional Dissipative Particle Dynamics (DPD) technique to simulate the poiseuille flow in a microchannel is developed using an in-house code. The calculated Reynolds number is reduced via adjusting the DPD parameters. The obtained velocity profile is compared with the analytical results and a good agreement is found. The drag force and the drag coefficient on a stationary cylinder exerted by the fluid particles are obtained using the developed DPD code. The calculated drag coefficient exhibits a close match with already published data in the literature.

AB - In this paper, a two-dimensional Dissipative Particle Dynamics (DPD) technique to simulate the poiseuille flow in a microchannel is developed using an in-house code. The calculated Reynolds number is reduced via adjusting the DPD parameters. The obtained velocity profile is compared with the analytical results and a good agreement is found. The drag force and the drag coefficient on a stationary cylinder exerted by the fluid particles are obtained using the developed DPD code. The calculated drag coefficient exhibits a close match with already published data in the literature.

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U2 - 10.1115/IMECE201887622

DO - 10.1115/IMECE201887622

M3 - Conference contribution

AN - SCOPUS:85060367652

T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)

BT - Micro- and Nano-Systems Engineering and Packaging

T2 - ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018

Y2 - 9 November 2018 through 15 November 2018

ER -

Simulation of fluid flow in a microchannel at low reynolds number using dissipative particle dynamics

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