Heat Transfer Prediction From Large Eddy Simulation of a Rotating Cavity With Radial Inflow
| Autor: | Michel Onori, John W. Chew, Nicholas J. Hills, Dario Amirante |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Buoyancy
020209 energy Energy Engineering and Power Technology Aerospace Engineering Inflow 02 engineering and technology engineering.material 01 natural sciences 010305 fluids & plasmas Physics::Fluid Dynamics symbols.namesake 0203 mechanical engineering 0103 physical sciences Mass flow rate 0202 electrical engineering electronic engineering information engineering Physics Mechanical Engineering Turbulence modeling Reynolds number Mechanics Nusselt number 020303 mechanical engineering & transports Fuel Technology Nuclear Energy and Engineering Heat transfer symbols engineering Large eddy simulation |
| Zdroj: | Journal of Engineering for Gas Turbines and Power. 141 |
| ISSN: | 1528-8919 0742-4795 |
| DOI: | 10.1115/1.4045150 |
| Popis: | This paper describes a large eddy simulation (LES) conducted for a nonadiabatic rotating cavity with a radial inflow introduced from the shroud. The dimensionless mass flowrate of the radial inflow is Cw = 3500 and the rotational Reynolds number, based on the cavity outer radius, is equal to Reθ=1.2×106. The time-averaged local Nusselt number on the heated wall is compared with the experimental data available from the literature, and with those derived from the solution of two unsteady Reynolds-averaged Navier–Stokes (URANS) eddy viscosity models, namely, the Spalart–Allmaras and the k−ω shear stress transport (SST) model. It is shown that the Nusselt number is underpredicted in the lower part of the disk and overpredicted in the outer region by both URANS models, whereas the LES provides a much better agreement with the measurements. The behavior results primarily from a different flow structure in the source region, which, in the LES, is found to be considerably more extended and show localized buoyancy phenomena that the URANS models investigated do not capture. |
| Databáze: | OpenAIRE |
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