contributor author | Chemnitz, Silvio | |
contributor author | Niehuis, Reinhard | |
date accessioned | 2022-02-04T22:22:08Z | |
date available | 2022-02-04T22:22:08Z | |
date copyright | 6/30/2020 12:00:00 AM | |
date issued | 2020 | |
identifier issn | 0889-504X | |
identifier other | turbo_142_7_071008.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4275430 | |
description abstract | The development and verification of new turbulence models for Reynolds-averaged Navier–Stokes (RANS) equation-based numerical methods require reliable experimental data with a deep understanding of the underlying turbulence mechanisms. High accurate turbulence measurements are normally limited to simplified test cases under optimal experimental conditions. This work presents comprehensive three-dimensional data of turbulent flow quantities, comparing advanced constant temperature anemometry (CTA) and stereoscopic particle image velocimetry (PIV) methods under realistic test conditions. The experiments are conducted downstream of a linear, low-pressure turbine cascade at engine relevant high-speed operating conditions. The special combination of high subsonic Mach and low Reynolds number results in a low density test environment, challenging for all applied measurement techniques. Detailed discussions about influences affecting the measured result for each specific measuring technique are given. The presented time mean fields as well as total turbulence data demonstrate with an average deviation of ΔTu<0.4% and ΔC/Cref<0.9% an extraordinary good agreement between the results from the triple sensor hot-wire probe and the 2D3C-PIV setup. Most differences between PIV and CTA can be explained by the finite probe size and individual geometry. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | A Comparison of Turbulence Levels From Particle Image Velocimetry and Constant Temperature Anemometry Downstream of a Low-Pressure Turbine Cascade at High-Speed Flow Conditions | |
type | Journal Paper | |
journal volume | 142 | |
journal issue | 7 | |
journal title | Journal of Turbomachinery | |
identifier doi | 10.1115/1.4046272 | |
journal fristpage | 071008-1 | |
journal lastpage | 071008-12 | |
page | 12 | |
tree | Journal of Turbomachinery:;2020:;volume( 142 ):;issue: 007 | |
contenttype | Fulltext | |