2021
DOI: 10.1115/1.4050115
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Accurate Prediction of Loss Using High Fidelity Methods

Abstract: Further improvements in aero-engine efficiencies require accurate prediction of flow physics and incurred loss. Currently, the computational requirements for capturing these are not known leading to inconsistent loss predictions even for scale-resolving simulations depending on the chosen convergence criteria. This work investigates two aspects of loss generation using high-fidelity simulation. In the first case study we look at the effect of resolution on capturing entropy generation rate by simulating a Tayl… Show more

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Cited by 12 publications
(7 citation statements)
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“…For a case with inlet turbulence intensity of 4 percent, the loss generated in the suction surface boundary layer was found to change by less than 1 percent as the mesh size changed from 14M to 102M. The meshes of all three high fidelity simulations meet the requirements set out by Przytarski and Wheeler [10] for acccurate resolution of turbomachinery cascade loss mechanisms, and put the simulations in the wall resolved implicit LES regime. The freestream turbulence spectrum at inlet is compared to the -5/3 law for Cascade C in Fig.…”
Section: Test Casesmentioning
confidence: 88%
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“…For a case with inlet turbulence intensity of 4 percent, the loss generated in the suction surface boundary layer was found to change by less than 1 percent as the mesh size changed from 14M to 102M. The meshes of all three high fidelity simulations meet the requirements set out by Przytarski and Wheeler [10] for acccurate resolution of turbomachinery cascade loss mechanisms, and put the simulations in the wall resolved implicit LES regime. The freestream turbulence spectrum at inlet is compared to the -5/3 law for Cascade C in Fig.…”
Section: Test Casesmentioning
confidence: 88%
“…The high fidelity (LES) simulations were carried out using 3DNS [9][10][11], a compressible finite difference Navier-Stokes solver first presented by Wheeler et. al [9].…”
Section: Computational Setup 21 Solver Details Lesmentioning
confidence: 99%
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