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Accurate numerical prediction of incompressible fluid flow in lid-driven cavities

In this paper, we report an efficient numerical method to predict fluid flow behavior in a square and deep lid-driven cavities. The conventional continuity and momentum equations are transformed into stream-function and vorticity formulation to reduce the number of unknown spatial quantities. Numeri...

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Main Authors: Che Sidik, Nor Azwadi, Abd. Munir, Fudhail, Mohd. Zin, Mohd. Rody, Salim, Mohd. Azli
Format: Article
Published: 2012
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/46554/
http://dx.doi.org/10.4028/www.scientific.net/AMM.110-116.4365
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spelling my.utm.465542017-09-13T07:57:45Z http://eprints.utm.my/id/eprint/46554/ Accurate numerical prediction of incompressible fluid flow in lid-driven cavities Che Sidik, Nor Azwadi Abd. Munir, Fudhail Mohd. Zin, Mohd. Rody Salim, Mohd. Azli TJ Mechanical engineering and machinery In this paper, we report an efficient numerical method to predict fluid flow behavior in a square and deep lid-driven cavities. The conventional continuity and momentum equations are transformed into stream-function and vorticity formulation to reduce the number of unknown spatial quantities. Numerical experiments were performed with different values of aspect ratio and Reynolds number to investigate the effect of these dimensionless parameters on the fluid flow behavior in the cavity. In the current study, we found that the dynamics and the structure of primary vortex are significantly affected by the Reynolds number and the aspect ratio of the cavity. 2012 Article PeerReviewed Che Sidik, Nor Azwadi and Abd. Munir, Fudhail and Mohd. Zin, Mohd. Rody and Salim, Mohd. Azli (2012) Accurate numerical prediction of incompressible fluid flow in lid-driven cavities. Applied Mechanics And Materials, 110-11 . pp. 4365-4372. ISSN 1660-9336 http://dx.doi.org/10.4028/www.scientific.net/AMM.110-116.4365
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Che Sidik, Nor Azwadi
Abd. Munir, Fudhail
Mohd. Zin, Mohd. Rody
Salim, Mohd. Azli
Accurate numerical prediction of incompressible fluid flow in lid-driven cavities
description In this paper, we report an efficient numerical method to predict fluid flow behavior in a square and deep lid-driven cavities. The conventional continuity and momentum equations are transformed into stream-function and vorticity formulation to reduce the number of unknown spatial quantities. Numerical experiments were performed with different values of aspect ratio and Reynolds number to investigate the effect of these dimensionless parameters on the fluid flow behavior in the cavity. In the current study, we found that the dynamics and the structure of primary vortex are significantly affected by the Reynolds number and the aspect ratio of the cavity.
format Article
author Che Sidik, Nor Azwadi
Abd. Munir, Fudhail
Mohd. Zin, Mohd. Rody
Salim, Mohd. Azli
author_facet Che Sidik, Nor Azwadi
Abd. Munir, Fudhail
Mohd. Zin, Mohd. Rody
Salim, Mohd. Azli
author_sort Che Sidik, Nor Azwadi
title Accurate numerical prediction of incompressible fluid flow in lid-driven cavities
title_short Accurate numerical prediction of incompressible fluid flow in lid-driven cavities
title_full Accurate numerical prediction of incompressible fluid flow in lid-driven cavities
title_fullStr Accurate numerical prediction of incompressible fluid flow in lid-driven cavities
title_full_unstemmed Accurate numerical prediction of incompressible fluid flow in lid-driven cavities
title_sort accurate numerical prediction of incompressible fluid flow in lid-driven cavities
publishDate 2012
url http://eprints.utm.my/id/eprint/46554/
http://dx.doi.org/10.4028/www.scientific.net/AMM.110-116.4365
_version_ 1643652069587943424
score 13.160551

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