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DOI: 10.1615/ICHMT.2008.CHT.1380
page 12

Xiuling Wang
Mechanical and Civil Engineering Department, Purdue University Northwest, Hammond, IN, 46323, USA

David Carrington
Los Alamos National Laboratory

Darrell W. Pepper
NCACM, Department of Mechanical Engineering, University of Nevada Las Vegas, Las Vegas, NV 89154, USA


An adaptive finite element algorithm for solving turbulent convective flow over a backward facing step using a two-equation Low-Reynolds-Number model has been developed. The mesh is dynamically controlled using an L2 norm error estimator. Petrov-Galerkin weighting is used for the advection terms. Complex features within the flow including boundary layer development and reattachments points are resolved using high density localized mesh refinement. Simulation results are obtained for Reynolds number equal to 28,000, with the channel's expansion ratio equal to 1.25 and the Prandtl number set to 0.71. A constant uniform heat flux of 270 W/m2 is specified along the wall downstream from the step - all the other walls are set to adiabatic conditions. Simulation results for mean velocity profiles, mean temperature profiles, turbulence kinetic energy and friction coefficient distributions are obtained. Results are compared with both numerical and experimental data in the literature. Preliminary results show good agreement with the majority of the data.

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