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contributor authorKnisely, Brian F.
contributor authorBerdanier, Reid A.
contributor authorThole, Karen A.
contributor authorHaldeman, Charles W.
contributor authorMarkham, James R.
contributor authorCosgrove, Joseph E.
contributor authorCarlson, Andrew E.
contributor authorScire, James J., Jr.
date accessioned2022-02-05T22:08:02Z
date available2022-02-05T22:08:02Z
date copyright3/24/2021 12:00:00 AM
date issued2021
identifier issn0889-504X
identifier otherturbo_143_4_041013.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276980
description abstractAs designers aim to increase efficiency in gas turbines for aircraft propulsion and power generation, spatially resolved experimental measurements are needed to validate computational models and compare improvement gains of new cooling designs. Infrared (IR) thermography is one such method for obtaining spatially resolved temperature measurements. As technological advances in thermal detectors enable faster integration times, surface temperature measurements of rotating turbine blades become possible to capture including the smallest features. This paper outlines opportunities enabled by the latest IR detector technologies for capturing spatially resolved rotating blade temperatures, while also addressing some of the challenges of implementing IR for turbine rigs such as the one in the Steady Thermal Aero Research Turbine (START) Laboratory. This paper documents critical steps in achieving accurate measurements including calibration, integration times, spatial noise, and motion blur. From these results, recommendations are provided for achieving accurate IR measurements collected in a rotating turbine facility to study film cooling.
publisherThe American Society of Mechanical Engineers (ASME)
titleAcquisition and Processing Considerations for Infrared Images of Rotating Turbine Blades
typeJournal Paper
journal volume143
journal issue4
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4050143
journal fristpage041013-1
journal lastpage041013-12
page12
treeJournal of Turbomachinery:;2021:;volume( 143 ):;issue: 004
contenttypeFulltext


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