Abstract

An accurate prediction of heat transfer is crucial in many engineering applications and a typical representative is heat transfer of impinging jets. The present study addresses numerical simulations using three Scale-Resolving-Simulation methods, namely the Detached Eddy Simulation, Large Eddy Simulation and the Partially Averaged Navier-Stokes. The study focus on the influence of a local grid refinement on predicted heat transfer. The closest match with experimental data was achieved with DES and PANS (fk = 0.5) models for all computational grids. The grid refinement led to an improvement of predicted results for LES and PANS with a high physical resolution (fk = 0.25).

Highlights

  • Complex geometries are common in many engineering applications and a generation of structured computational grids is cumbersome on such domains

  • That the coarse spatial resolution far from the nozzle axis resulted in a poor prediction of near wall turbulent structures whose have a great effect on the heat transfer from the wall

  • The present study aimed on a comparison of SRS methods (DES, Large Eddy Simulation (LES) and Partially-Averaged Navier-Stokes (PANS)) on the impinging jet heat transfer at Re = 23000 and H/D = 6 with a closer insight on an influence of a local grid refinement

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Summary

Introduction

Complex geometries are common in many engineering applications and a generation of structured computational grids is cumbersome on such domains. The computational grids with very fine near wall resolution are typically required to correctly predict turbulent heat transfer from a wall. This increase of grid points results in a higher demand on computational resources. Impinging jets involve several flow dynamics mechanisms: stagnation, separation, reattachment etc Such complex flow dynamics along with a large amount of experimental and numerical simulations data of. The present study aims on a comparison of SRS methods and various strategies for a grid refinement on the heat transfer of the round impinging jet at Reynolds number Re = 23000 (based on the nozzle diameter, the inlet velocity and kinematic viscosity) and the nozzle-plate distance H/D = 6. Results from the conducted study have been compared against various experimental data [6,7,8]

Mathematical model
Large Eddy Simulation model
Detached Eddy Simulation model
Partially-Averaged Navier-Stokes model
Computational setup
Results
Conclusions
Full Text
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