Numerical study on turbulent mixed convection in a vertical plane channel using hybrid RANS/LES and LES models
Fluid Dynamics and Transport Phenomena|Updated:2026-01-06
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Numerical study on turbulent mixed convection in a vertical plane channel using hybrid RANS/LES and LES models
Chinese Journal of Chemical EngineeringVol. 28, Issue 1, Pages: 1-8(2020)
Affiliations:
Key Laboratory of Enhanced Heat Transfer and Energy Conservation of the Ministry of Education, School of Chemistry and Chemical Engineering, South China University of Technology,Guangzhou,China,510640
Puxian Ding, Shuangfeng Wang, Kai Chen. Numerical study on turbulent mixed convection in a vertical plane channel using hybrid RANS/LES and LES models[J]. Chinese Journal of Chemical Engineering, 2020, 28(1): 1-8.
DOI:
Puxian Ding, Shuangfeng Wang, Kai Chen. Numerical study on turbulent mixed convection in a vertical plane channel using hybrid RANS/LES and LES models[J]. Chinese Journal of Chemical Engineering, 2020, 28(1): 1-8.DOI: 10.1016/j.cjche.2019.04.007.
Numerical study on turbulent mixed convection in a vertical plane channel using hybrid RANS/LES and LES models
Two Delayed-Detached Eddy Simulation (DDES) models
and a Large-Eddy Simulation (LES) model are used to investigate the turbulent flows and mixed convection between a hot plate and a cold plate
via
the software FLUENT. The two DDES models include Production-limited DDES (PL-DDES) and Improved DDES (IDDES) models. The Wall-Adapting Local Eddy-Viscosity (WALE) model is the used LES model. The numerical computations are performed at Reynolds number
Re
b
=4494 and different Richardson numbers
Ri
=0.025
0.048
0.1. The comparing data is from the Direct Numerical Simulation (DNS) at
Re
b
=4494 and
Ri
=0.048. The comparison reveals that the two DDES models have better performance in predicting time-averaged parameters than the WALE model in the aiding flow. The best predicted time-averaged results are obtained by the PL-DDES model in the opposing flow. Furthermore
the results of different
Ri
obtained by the PL-DDES model agree well with the DNS data.
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