Numerical prediction of air flow in a sharp 90 degree elbow

Mossad, Ruth and Yang, William and Schwarz, M. Philip (2009) Numerical prediction of air flow in a sharp 90 degree elbow. In: 7th International Conference on Computational Fluid Mechanics in the Minerals and Process Industries (CFD2009), 9-11 Dec 2009, Melbourne, Australia.

Abstract

Numerical and experimental investigations of turbulent air flows inside a sharp 90° elbow bend were conducted in an open-circuit horizontal-to-vertical suction wind tunnel system. Computational fluid dynamics simulations were performed using Fluent software with 3D, steady, turbulent and incompressible flow conditions assumed. Three different turbulence models were used namely the k-ε realizable, the k-ε RNG and the Reynolds Stress models in conjunction with non-equilibrium wall functions. The predictions of mean velocity profiles of the air flow inside the sharp 90° elbow duct were compared against the experimental results obtained using Laser Doppler Anemometry (LDA). Reasonable agreement was obtained. Reynolds Stress Model was expected to perform the best; however this was not confirmed from the results.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to paper due to publisher copyright restrictions.
Depositing User: Dr Ruth Mossad
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 04 Nov 2011 07:18
Last Modified: 02 Jul 2013 23:34
Uncontrolled Keywords: computational; sharp elbow; turbulent models; Fluent (software)
Fields of Research (FOR2008): 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
09 Engineering > 0915 Interdisciplinary Engineering > 091501 Computational Fluid Dynamics
09 Engineering > 0913 Mechanical Engineering > 091307 Numerical Modelling and Mechanical Characterisation
Socio-Economic Objective (SEO2008): B Economic Development > 85 Energy > 8598 Environmentally Sustainable Energy Activities > 859802 Management of Greenhouse Gas Emissions from Electricity Generation
URI: http://eprints.usq.edu.au/id/eprint/6480

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