A diagnostic tool for jet noise using a line-source approach and implicit large-eddy simulation data
A diagnostic tool for jet noise using a line-source approach and implicit large-eddy simulation data
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使用线源方法和隐式大涡模拟数据的喷射噪声诊断工具
DOI:
10.1016/j.crme.2018.07.007
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Margnat F
中科院分区:
文献类型:
--
作者:
Margnat F
The overall goal of the present study is to develop and validate a cost-effective hybrid jet noise prediction tool that could potentially offer a competitive trade-off between the accuracy of the experiments (in the same operating conditions) and the computational cost in terms of wall clock time and data storage. Such a tool could be critical for the efficient design of quieter turbulent jets and for quickly evaluating and comparing different noise mitigation strategies. For instance, to reduce the sound generated by aircraft engines, Boeing, General Electric, and NASA developed several years ago serrated edges called chevrons for engine exhaust nozzles [1, 2]. The chevrons effectively reduce jet noise by controlling the way the air mixes after passing through and around the engine. However, the large number of parameters affecting the performance of such a control solution makes their development, testing and optimisation a very complicated task, with potentially numerous high-cost and time-consuming trial-and-error iterations. For this reason, cost-effective diagnostic tools are needed in order to quantify how the acoustic field is modified when a control solution is used, but more importantly to adjust and compare different parameters of the control solution in an effective fashion. The expectation for such a diagnostic tool may include quantitative and qualitative criteria, such as a correct estimation of the global sound levels without any empirical constant, and an ability to reveal significant changes in the directivity pattern and frequency content.
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DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
F. Margnat
通讯作者:
F. Margnat
DOI:
10.1121/1.4921031
发表时间:
2015
期刊:
The Journal of the Acoustical Society of America
影响因子:
--
作者:
R. Serré;J. Robinet;F. Margnat
通讯作者:
F. Margnat
影响因子:
2.4
作者:
F. Margnat;V. Fortuné
通讯作者:
V. Fortuné
影响因子:
3.7
作者:
A. Cavalieri;D. Rodríguez;P. Jordan;T. Colonius;Y. Gervais
通讯作者:
A. Cavalieri;D. Rodríguez;P. Jordan;T. Colonius;Y. Gervais
影响因子:
1
作者:
C. Moser;E. Lamballais;F. Margnat;V. Fortuné;Yves Gervais
通讯作者:
C. Moser;E. Lamballais;F. Margnat;V. Fortuné;Yves Gervais