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Computational fluid dynamics to predict duct fitting losses: Challenges and opportunities
A shoot-out contest to determine loss coefficients using computational fluid dynamics modeling for two prescribed oval duct fittings has been conducted. The objectives of the contest were to determine if the computational fluid dynamics modeling can predict loss coefficient within 15% accuracy without previous knowledge of experimental data. The main findings of the project showed that the trends of the pressure loss coefficients were predicted correctly, while the accuracy can be improved. None of the contestants could predict the pressure loss coefficients within 15% of the measurements for all the tested cases. The prediction error varies significantly among the ten submissions (between 20% in some entries and more than 80% in most others). The reasons for this error may be attributed to several facts, including errors in the geometry, errors in the definitions of the duct fitting loss coefficients, random choice of turbulence model and near wall treatment, inappropriate modeling of wall roughness, different grid conversions, etc. This article presents an in-depth discussion of the potential influences of these factors. The article also reviews the computing requirements for such a prediction task and finds that the duct fitting flow can be simulated with acceptable computational time on a regular computing platform. Recommendations for future research are provided, including the need for and approaches to performing a systematic study to compare and improve computational fluid dynamics techniques that are capable of predicting flow in duct fittings and to further the whole duct system to within an accuracy of 15% or better of measured loss coefficients.
Computational fluid dynamics to predict duct fitting losses: Challenges and opportunities
A shoot-out contest to determine loss coefficients using computational fluid dynamics modeling for two prescribed oval duct fittings has been conducted. The objectives of the contest were to determine if the computational fluid dynamics modeling can predict loss coefficient within 15% accuracy without previous knowledge of experimental data. The main findings of the project showed that the trends of the pressure loss coefficients were predicted correctly, while the accuracy can be improved. None of the contestants could predict the pressure loss coefficients within 15% of the measurements for all the tested cases. The prediction error varies significantly among the ten submissions (between 20% in some entries and more than 80% in most others). The reasons for this error may be attributed to several facts, including errors in the geometry, errors in the definitions of the duct fitting loss coefficients, random choice of turbulence model and near wall treatment, inappropriate modeling of wall roughness, different grid conversions, etc. This article presents an in-depth discussion of the potential influences of these factors. The article also reviews the computing requirements for such a prediction task and finds that the duct fitting flow can be simulated with acceptable computational time on a regular computing platform. Recommendations for future research are provided, including the need for and approaches to performing a systematic study to compare and improve computational fluid dynamics techniques that are capable of predicting flow in duct fittings and to further the whole duct system to within an accuracy of 15% or better of measured loss coefficients.
Computational fluid dynamics to predict duct fitting losses: Challenges and opportunities
Sleiti, Ahmad K. (author) / Zhai, John (author) / Idem, Stephen (author)
HVAC&R Research ; 19 ; 2-9
2013-01-01
8 pages
Article (Journal)
Electronic Resource
English
Prediction of duct fitting losses using computational fluid dynamics
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