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13 - Coarse Graining for Thermal Flows

from Part II - Challenges

Published online by Cambridge University Press:  31 January 2025

By
Himani Garg ,
Gustav Karlsson ,
Lei Wang  and
Christer Fureby
Edited by
Fernando F. Grinstein ,
Filipe S. Pereira  and
Massimo Germano
Fernando F. Grinstein
Affiliation:
Los Alamos National Laboratory
Filipe S. Pereira
Affiliation:
Los Alamos National Laboratory
Massimo Germano
Affiliation:
Duke University, North Carolina
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Summary

Numerical investigations of convective flow and heat transfer in two different engineering applications, namely cross-corrugated channels for heat exchangers and rib-roughened channels for gas turbine blade cooling, using wall-modeled large eddy simulations (LES), are presented in this chapter. Mesh resolution requirements for LES, subgrid model dependence, and heat transfer and friction factor characteristics are investigated and compared with previously published experimental data. The LES computations form a coherent suite of monotonically behaving predictions, with all aspects of the results converging toward the predictions obtained on the finest grids. Various subgrid and Reynolds-averaged Navier–Stokes equations (RANS) models are compared to account for their reliability and efficiency in the prediction of hydraulic and thermal performances in the presence of complicated flow physics. Results indicate that subgrid models such as wall-adapting local eddy viscosity model (WALE) and localized dynamic kinetic energy model (LDKM) provide the most accurate results, within 201b of Nusselt number and Darcy’s friction factor, compared to selected RANS models, which presents up to 3501b deviation from experimental data. The conclusion is that both LES and RANS have their strengths and weaknesses, and the choice between them depends on the specific application requirements and available computational resources.

Type
Chapter
Information
Coarse Graining Turbulence
Modeling and Data-Driven Approaches and their Applications
 , pp. 381 - 418
Publisher: Cambridge University Press
Print publication year: 2025

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