Abstract
Turbulent fluid flows with a swirl occur in numerous engineering practice situations. Five widely recognized turbulence models were evaluated using experimental results. Among the RANS-based two-equation models, the SST κ–ω model proved to be the most effective. The predictions obtained from a LES turbulence model were slightly better, however there was an enormous difference in the CPU time. The CPU time needed for the LES solution was 155.3 days, whereas it was only 14.2 days for the SST κ–ω solution. In this light, it is believed that the SST κ–ω model is the most efficient of those investigated. An important input for the numerical simulation of turbulent flow and heat transfer is the turbulence intensity at the inlet of a solution domain. For the evaluation of turbulence models, use was made of the measured turbulence quantities from the verification experiments. More often, simulations are executed based on the uniform values of the turbulence intensity across the inlet. The errors in the heat transfer results due to this practice are evaluated and are shown to be significant.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 485-502 |
| Number of pages | 18 |
| Journal | Numerical Heat Transfer, Part B: Fundamentals |
| Volume | 70 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 1 2016 |
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Evaluation of the efficacy of turbulence models for swirling flows and the effect of turbulence intensity on heat transfer. / Gorman, John M.; Sparrow, Ephraim M.; Abraham, John P.; Minkowycz, Wally J.
In: Numerical Heat Transfer, Part B: Fundamentals, Vol. 70, No. 6, 01.12.2016, p. 485-502.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Evaluation of the efficacy of turbulence models for swirling flows and the effect of turbulence intensity on heat transfer
AU - Gorman, John M.
AU - Sparrow, Ephraim M.
AU - Abraham, John P.
AU - Minkowycz, Wally J.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Turbulent fluid flows with a swirl occur in numerous engineering practice situations. Five widely recognized turbulence models were evaluated using experimental results. Among the RANS-based two-equation models, the SST κ–ω model proved to be the most effective. The predictions obtained from a LES turbulence model were slightly better, however there was an enormous difference in the CPU time. The CPU time needed for the LES solution was 155.3 days, whereas it was only 14.2 days for the SST κ–ω solution. In this light, it is believed that the SST κ–ω model is the most efficient of those investigated. An important input for the numerical simulation of turbulent flow and heat transfer is the turbulence intensity at the inlet of a solution domain. For the evaluation of turbulence models, use was made of the measured turbulence quantities from the verification experiments. More often, simulations are executed based on the uniform values of the turbulence intensity across the inlet. The errors in the heat transfer results due to this practice are evaluated and are shown to be significant.
AB - Turbulent fluid flows with a swirl occur in numerous engineering practice situations. Five widely recognized turbulence models were evaluated using experimental results. Among the RANS-based two-equation models, the SST κ–ω model proved to be the most effective. The predictions obtained from a LES turbulence model were slightly better, however there was an enormous difference in the CPU time. The CPU time needed for the LES solution was 155.3 days, whereas it was only 14.2 days for the SST κ–ω solution. In this light, it is believed that the SST κ–ω model is the most efficient of those investigated. An important input for the numerical simulation of turbulent flow and heat transfer is the turbulence intensity at the inlet of a solution domain. For the evaluation of turbulence models, use was made of the measured turbulence quantities from the verification experiments. More often, simulations are executed based on the uniform values of the turbulence intensity across the inlet. The errors in the heat transfer results due to this practice are evaluated and are shown to be significant.
UR - http://www.scopus.com/inward/record.url?scp=84997785089&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84997785089&partnerID=8YFLogxK
U2 - 10.1080/10407790.2016.1244390
DO - 10.1080/10407790.2016.1244390
M3 - Article
AN - SCOPUS:84997785089
VL - 70
SP - 485
EP - 502
JO - Numerical Heat Transfer, Part B: Fundamentals
JF - Numerical Heat Transfer, Part B: Fundamentals
SN - 1040-7790
IS - 6
ER -