Improvement of airfoil trailing edge bluntness noise model
In this article, airfoil trailing edge bluntness noise is investigated using both computational aero-acoustic and semi-empirical approach. For engineering purposes, one of the most commonly used prediction tools for trailing edge noise are based on semi-empirical approaches, for example, the Brooks,...
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Series: | Advances in Mechanical Engineering |
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doaj-007b854ceed24fa38d28961cc63fe95b2020-11-25T03:32:33ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-02-01810.1177/168781401662934310.1177_1687814016629343Improvement of airfoil trailing edge bluntness noise modelWei Jun Zhu0Wen Zhong Shen1Jens Nørkær Sørensen2Giorgos Leloudas3Department of Wind Energy, Technical University of Denmark, Kongens Lyngby, DenmarkDepartment of Wind Energy, Technical University of Denmark, Kongens Lyngby, DenmarkDepartment of Wind Energy, Technical University of Denmark, Kongens Lyngby, DenmarkDark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, DenmarkIn this article, airfoil trailing edge bluntness noise is investigated using both computational aero-acoustic and semi-empirical approach. For engineering purposes, one of the most commonly used prediction tools for trailing edge noise are based on semi-empirical approaches, for example, the Brooks, Pope, and Marcolini airfoil noise prediction model developed by Brooks, Pope, and Marcolini (NASA Reference Publication 1218, 1989). It was found in previous study that the Brooks, Pope, and Marcolini model tends to over-predict noise at high frequencies. Furthermore, it was observed that this was caused by a lack in the model to predict accurately noise from blunt trailing edges. For more physical understanding of bluntness noise generation, in this study, we also use an advanced in-house developed high-order computational aero-acoustic technique to investigate the details associated with trailing edge bluntness noise. The results from the numerical model form the basis for an improved Brooks, Pope, and Marcolini trailing edge bluntness noise model.https://doi.org/10.1177/1687814016629343 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei Jun Zhu Wen Zhong Shen Jens Nørkær Sørensen Giorgos Leloudas |
spellingShingle |
Wei Jun Zhu Wen Zhong Shen Jens Nørkær Sørensen Giorgos Leloudas Improvement of airfoil trailing edge bluntness noise model Advances in Mechanical Engineering |
author_facet |
Wei Jun Zhu Wen Zhong Shen Jens Nørkær Sørensen Giorgos Leloudas |
author_sort |
Wei Jun Zhu |
title |
Improvement of airfoil trailing edge bluntness noise model |
title_short |
Improvement of airfoil trailing edge bluntness noise model |
title_full |
Improvement of airfoil trailing edge bluntness noise model |
title_fullStr |
Improvement of airfoil trailing edge bluntness noise model |
title_full_unstemmed |
Improvement of airfoil trailing edge bluntness noise model |
title_sort |
improvement of airfoil trailing edge bluntness noise model |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2016-02-01 |
description |
In this article, airfoil trailing edge bluntness noise is investigated using both computational aero-acoustic and semi-empirical approach. For engineering purposes, one of the most commonly used prediction tools for trailing edge noise are based on semi-empirical approaches, for example, the Brooks, Pope, and Marcolini airfoil noise prediction model developed by Brooks, Pope, and Marcolini (NASA Reference Publication 1218, 1989). It was found in previous study that the Brooks, Pope, and Marcolini model tends to over-predict noise at high frequencies. Furthermore, it was observed that this was caused by a lack in the model to predict accurately noise from blunt trailing edges. For more physical understanding of bluntness noise generation, in this study, we also use an advanced in-house developed high-order computational aero-acoustic technique to investigate the details associated with trailing edge bluntness noise. The results from the numerical model form the basis for an improved Brooks, Pope, and Marcolini trailing edge bluntness noise model. |
url |
https://doi.org/10.1177/1687814016629343 |
work_keys_str_mv |
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