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Study to identify computational fluid dynamics models for use in determining HVAC duct fitting loss coefficients
This article presents results from a systematic study to establish whether computational fluid dynamics techniques are capable of predicting pressure drop in close-coupled five-gore elbows having nominal diameters of 203 mm (8 in.) and turning radii r/D = 1.5. The close-coupled elbow combinations comprised either a Z-shape or a U-shape. In every instance the duct length separating the center-points of the elbows was systematically varied. An experimental program was likewise conducted to verify the computational fluid dynamics predictions, and data from the measurements are included. Zero-length pressure loss coefficients were predicted using five two-equations Eddy Viscosity Models including the standard k-ϵ, the Realizable k-ϵ, RNG k-ϵ, standard k-ω, and SST k-ω models, as well as the Reynolds Stress Model, and compared to the experimental data. The two-equation turbulence models predicted incorrect trends when applied to flow in U- and Z-configuration ducts. However, the Reynolds Stress Models with enhanced wall treatment was generally able to correctly predict elbow loss coefficients with less than 15% of error.
Study to identify computational fluid dynamics models for use in determining HVAC duct fitting loss coefficients
This article presents results from a systematic study to establish whether computational fluid dynamics techniques are capable of predicting pressure drop in close-coupled five-gore elbows having nominal diameters of 203 mm (8 in.) and turning radii r/D = 1.5. The close-coupled elbow combinations comprised either a Z-shape or a U-shape. In every instance the duct length separating the center-points of the elbows was systematically varied. An experimental program was likewise conducted to verify the computational fluid dynamics predictions, and data from the measurements are included. Zero-length pressure loss coefficients were predicted using five two-equations Eddy Viscosity Models including the standard k-ϵ, the Realizable k-ϵ, RNG k-ϵ, standard k-ω, and SST k-ω models, as well as the Reynolds Stress Model, and compared to the experimental data. The two-equation turbulence models predicted incorrect trends when applied to flow in U- and Z-configuration ducts. However, the Reynolds Stress Models with enhanced wall treatment was generally able to correctly predict elbow loss coefficients with less than 15% of error.
Study to identify computational fluid dynamics models for use in determining HVAC duct fitting loss coefficients
Salehi, Mohammad (author) / Sleiti, Ahmad K. (author) / Idem, Stephen (author)
Science and Technology for the Built Environment ; 23 ; 181-191
2017-01-02
11 pages
Article (Journal)
Electronic Resource
English
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