contributor author | Przytarski, Pawel J. | |
contributor author | Lengani, Davide | |
contributor author | Simoni, Daniele | |
contributor author | Wheeler, Andrew P. S. | |
date accessioned | 2024-12-24T18:43:37Z | |
date available | 2024-12-24T18:43:37Z | |
date copyright | 5/8/2024 12:00:00 AM | |
date issued | 2024 | |
identifier issn | 0889-504X | |
identifier other | turbo_146_10_101008.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302633 | |
description abstract | In this article, we study the role of turbulence transport on loss prediction using high fidelity scale-resolving simulations. For this purpose, we use eight high-fidelity simulation datasets and compute flux of entropy and stagnation pressure transport equation budgets for all the cases. We find that under certain unsteady inflow conditions, the stagnation pressure coefficient is not a reliable loss metric even at low Mach number conditions. This is due to the turbulence transport terms. The impact of these terms, typically assumed to be negligible, made stagnation pressure loss coefficient underpredict loss from 0% to over 40% when compared to entropy loss coefficient for cases considered here. This effect was most pronounced for the cases with highly unsteady inflow conditions and at low Reynolds numbers. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | The Role of Turbulence Transport in Mechanical Energy Budgets | |
type | Journal Paper | |
journal volume | 146 | |
journal issue | 10 | |
journal title | Journal of Turbomachinery | |
identifier doi | 10.1115/1.4065287 | |
journal fristpage | 101008-1 | |
journal lastpage | 101008-10 | |
page | 10 | |
tree | Journal of Turbomachinery:;2024:;volume( 146 ):;issue: 010 | |
contenttype | Fulltext | |