contributor author | Ubald, Bryn N. | |
contributor author | Watson, Rob | |
contributor author | Cui, Jiahuan | |
contributor author | Tucker, Paul | |
contributor author | Shahpar, Shahrokh | |
date accessioned | 2022-02-06T05:52:06Z | |
date available | 2022-02-06T05:52:06Z | |
date copyright | 6/15/2021 12:00:00 AM | |
date issued | 2021 | |
identifier issn | 0889-504X | |
identifier other | turbo_143_11_111005.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4278940 | |
description abstract | Leading edge instrumentation used in compressor and turbine blades for jet-engine test rigs can cause significant obstruction and lead to a marked increase in downstream pressure loss. Typical instrumentation used in such a scenario could be a Kiel-shrouded probe with either a thermocouple or pitot-static tube for temperature/pressure measurement. High fidelity analysis of a coupled blade and probe requires the generation of a high-quality mesh which can take a significant amount of an engineers time. The application of an immersed boundary method (IBM) and large eddy simulation (LES) is shown in this paper to enable the use of an extremely simple mesh to observe the primary flow features generated due to the blade and probe interaction effects, as well as quantify downstream pressure loss to within a high level of accuracy. IBM is utilized to approximately model the probe, while fully resolving the blade itself through a series of LES simulations. This method has shown to be able to capture downstream loss profiles as well as integral quantities compared to both experiment and fully wall-resolved LES without the need to spend a significant amount of time generating the ideal mesh. Additionally, it is also able to capture the turbulence anisotropy surrounding the probe and blade regions. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Application of an Immersed Boundary Method on an Instrumented Turbine Blade With Large Eddy Simulation | |
type | Journal Paper | |
journal volume | 143 | |
journal issue | 11 | |
journal title | Journal of Turbomachinery | |
identifier doi | 10.1115/1.4051110 | |
journal fristpage | 0111005-1 | |
journal lastpage | 0111005-10 | |
page | 10 | |
tree | Journal of Turbomachinery:;2021:;volume( 143 ):;issue: 011 | |
contenttype | Fulltext | |