Development and Validation of a 3D Linearized Euler Solver

Lan, Justin; Breard, Cyrille

doi:10.2514/6.2006-2585

Cited by 7 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such methods have been developed for a number of fan noise sources and specific configurations. [2][3][4][5] The use of these methods requires more expertise than the empirical models and often require access to fairly detailed aerodynamic and geometric input parameters from independent measurements and computations. As such, these methods can require significantly more computer resources and run times compared to the empirical methods, but potentially offer a level of fidelity that allows more accurate assessment of current designs and development of noise reduction strategies.…”

Section: Introductionmentioning

confidence: 99%

Fan Noise Prediction with Applications to Aircraft System Noise Assessment

Nark

Envia

Burley

2009

15th AIAA/CEAS Aeroacoustics Conference (30th AIAA Aeroacoustics Conference)

View full text Add to dashboard Cite

This paper describes an assessment of current fan noise prediction tools by comparing measured and predicted sideline acoustic levels from a benchmark fan noise wind tunnel test. Specifically, an empirical method and newly developed coupled computational approach are utilized to predict aft fan noise for a benchmark test configuration. Comparisons with sideline noise measurements are performed to assess the relative merits of the two approaches. The study identifies issues entailed in coupling the source and propagation codes, as well as provides insight into the capabilities of the tools in predicting the fan noise source and subsequent propagation and radiation. In contrast to the empirical method, the new coupled computational approach provides the ability to investigate acoustic near-field effects. The potential benefits/costs of these new methods are also compared with the existing capabilities in a current aircraft noise system prediction tool. The knowledge gained in this work provides a basis for improved fan source specification in overall aircraft system noise studies.

show abstract

Section: Introductionmentioning

confidence: 99%

Fan Noise Prediction with Applications to Aircraft System Noise Assessment

Nark

Envia

Burley

2009

15th AIAA/CEAS Aeroacoustics Conference (30th AIAA Aeroacoustics Conference)

View full text Add to dashboard Cite

show abstract

“…Such methods have been developed for a number of fan noise sources 2,3 and specific configurations. [4][5][6][7] The use of these methods requires more expertise than the empirical models and often requires access to fairly detailed aerodynamic and geometric input parameters from independent measurements and computations. As such, these methods can require significantly more computer resources and run times compared to the empirical methods, but potentially offer a level of fidelity that allows more accurate assessment of current designs and development of noise reduction strategies.…”

Section: Introductionmentioning

confidence: 99%

On Acoustic Source Specification for Rotor-Stator Interaction Noise Prediction

Nark

Envia

Burley

2010

16th AIAA/CEAS Aeroacoustics Conference

View full text Add to dashboard Cite

This paper describes the use of measured source data to assess the effects of acoustic source specification on rotor-stator interaction noise predictions. Specifically, the acoustic propagation and radiation portions of a recently developed coupled computational approach are used to predict tonal rotor-stator interaction noise from a benchmark configuration. In addition to the use of full measured data, randomization of source mode relative phases is also considered for specification of the acoustic source within the computational approach. Comparisons with sideline noise measurements are performed to investigate the effects of various source descriptions on both inlet and exhaust predictions. The inclusion of additional modal source content is shown to have a much greater influence on the inlet results. Reasonable agreement between predicted and measured levels is achieved for the inlet, as well as the exhaust when shear layer effects are taken into account. For the number of trials considered, phase randomized predictions follow statistical distributions similar to those found in previous statistical source investigations. The shape of the predicted directivity pattern relative to measurements also improved with phase randomization, having predicted levels generally within one standard deviation of the measured levels.

show abstract

“…The DRP scheme, has been on the scene longest. It forms the basis for many CAA research [67] and in-house industry codes [66]. Some of these are able to solve large 3D turbofan problems at realistic frequencies [68].…”

Section: Structured Methods For Leementioning

confidence: 99%

Numerical methods for noise propagation in moving flows, with application to turbofan engines

Astley

2009

Acoust. Sci. & Tech.

View full text Add to dashboard Cite

This article reviews the development and application of Computational AeroAcoustics (CAA) to acoustic propagation on subsonic mean flows, with a particular focus on methods used to predict acoustic radiation from turbofan aeroengines. The governing equations are presented and particular issues such as the formulation of impedance and far field boundary conditions, the treament of Kelvin-Helmholtz instabilities, resolution requirements and methods for controlling dispersion error, are discussed. The status of current CAA methods is reviewed. Finally, the matter of validation against benchmark problems and measured data is explored.

show abstract

Development and Validation of a 3D Linearized Euler Solver

Cited by 7 publications

References 6 publications

Fan Noise Prediction with Applications to Aircraft System Noise Assessment

Fan Noise Prediction with Applications to Aircraft System Noise Assessment

On Acoustic Source Specification for Rotor-Stator Interaction Noise Prediction

Numerical methods for noise propagation in moving flows, with application to turbofan engines

Contact Info

Product

Resources

About