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contributor authorUbald, Bryn N.
contributor authorWatson, Rob
contributor authorCui, Jiahuan
contributor authorTucker, Paul
contributor authorShahpar, Shahrokh
date accessioned2022-02-06T05:52:06Z
date available2022-02-06T05:52:06Z
date copyright6/15/2021 12:00:00 AM
date issued2021
identifier issn0889-504X
identifier otherturbo_143_11_111005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278940
description abstractLeading 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleApplication of an Immersed Boundary Method on an Instrumented Turbine Blade With Large Eddy Simulation
typeJournal Paper
journal volume143
journal issue11
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4051110
journal fristpage0111005-1
journal lastpage0111005-10
page10
treeJournal of Turbomachinery:;2021:;volume( 143 ):;issue: 011
contenttypeFulltext


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