Broadband slat noise prediction based on CAA and stochastic sound sources from a fast random particle-mesh (RPM) method

Ewert, Roland

doi:10.1016/j.compfluid.2007.02.003

Cited by 187 publications

(151 citation statements)

References 30 publications

Supporting

Mentioning

148

Contrasting

Unclassified

Order By: Relevance

“…It builds upon the models proposed by Careta et al [10] and Ewert et al [14,15] where the velocity field is defined in terms of a stream function that is obtained by filtering random data. The method requires as input several statistical properties of the turbulent flow such as the energy spectrum or velocity correlation, integral length and time scales.…”

Section: Random Particle Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Random particle methods applied to broadband fan interaction noise

Dieste

Gabard

2012

Journal of Computational Physics

View full text Add to dashboard Cite

Predicting broadband fan noise is key to reduce noise emissions from aircraft and wind turbines. Complete CFD simulations of broadband fan noise generation remain too expensive to be used routinely for engineering design. A more efficient approach consists in synthesizing a turbulent velocity field that captures the main features of the exact solution. This synthetic turbulence is then used in a noise source model. This paper concentrates on predicting broadband fan noise interaction (also called leading edge noise) and demonstrates that a Random Particle Mesh method (RPM) is well suited for simulating this source mechanism. The linearized Euler equations are used to describe sound generation and propagation. In this work, the definition of the filter kernel is generalized to include non-Gaussian filters that can directly follow more realistic energy spectra such as the ones developed by Liepmann and von Kármán. The velocity correlation and energy spectrum of the turbulence are found to be well captured by the RPM. The acoustic predictions are successfully validated against Amiet's analytical solution for a flat plate in a turbulent stream. A standard Langevin equation is used to model temporal decorrelation, but the presence of numerical issues leads to the introduction and validation of a second-order Langevin model.

show abstract

Section: Random Particle Methodsmentioning

confidence: 99%

“…The method used in this work is a variant of the random particle method, following the ideas developed by Careta et al [10] and Ewert et al [14,15]. In the present work we will concentrate on several aspects.…”

Section: Introductionmentioning

confidence: 99%

Random particle methods applied to broadband fan interaction noise

Dieste

Gabard

2012

Journal of Computational Physics

View full text Add to dashboard Cite

show abstract

“…This mechanism (referred to as an edge-dipole source [79]) is regarded as a major contributor to slat noise generation. High-fidelity simulation of the multi-element aerofoil flow, and in particular of the slat flow, using improved versions of DES (see [6,88]), implicit DES [89,90], with wallmodel LES (see [10]) and stochastic source models coupled with acoustic perturbation equation solution [91,92] has provided important insights into slat noise generation and radiation. Strong collaboration between the computations and laboratory measurements (see [93]) even when simulations were limited to two-dimensional unsteady RANS, has resulted in faster progress.…”

Section: (I) Slat Noisementioning

confidence: 99%

A second golden age of aeroacoustics?

Lele

Nichols

2014

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

In 1992, Sir James Lighthill foresaw the dawn of a second golden age in aeroacoustics enabled by computer simulations (Hardin JC, Hussaini MY (eds) 1993 Computational aeroacoustics, New York, NY: Springer (doi:10.1007). This review traces the progress in large-scale computations to resolve the noise-source processes and the methods devised to predict the far-field radiated sound using this information. Keeping focus on aviation-related noise sources a brief account of the progress in simulations of jet noise, fan noise and airframe noise is given highlighting the key technical issues and challenges. The complex geometry of nozzle elements and airframe components as well as the high Reynolds number of target applications require careful assessment of the discretization algorithms on unstructured grids and modelling compromises. High-fidelity simulations with 200-500 million points are not uncommon today and are used to improve scientific understanding of the noise generation process in specific situations. We attempt to discern where the future might take us, especially if exascale computing becomes a reality in 10 years. A pressing question in this context concerns the role of modelling in the coming era. While the sheer scale of the data generated by large-scale simulations will require new methods for data analysis and data visualization, it is our view that suitable theoretical formulations and reduced models will be even more important in future.

show abstract

“…The moving reference frame is adopted to transfer data between the rotating field interfaces with the stationary field, so as to complete the numerical calculation on the condition of steady flow [5] . When the calculation accuracy is 10 -5 , the monitoring curve of outlet flow in the process of calculation is shown in figure 2.…”

Section: The Numerical Algorithmmentioning

confidence: 99%

Numerical simulation of the whole flow field of an axial-flow fan used in an air conditioner

Chen¹,

Li²,

Hu³

et al. 2013

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Abstract：Numerical simulation of a three-dimensional turbulent flow in the whole flow field of an axial-flow fan is performed. Unstructured grids are used to discrete the computational domain. Pressure boundary conditions are specified to the inlet and the outlet. The SIMPLE algorithm, in conjunction with the RNG k-ε turbulent model, is used to solve the threedimensional Navier-Stokes equations. The moving reference frame is adopted to transfer data between the interfaces of the rotating field and the stationary field. Based on the calculation of the inner-flow in the fan, the velocity field and pressure field were farther analyzed. The simulation results are of important significance to the optimal design and noise control of the fan.

show abstract

Broadband slat noise prediction based on CAA and stochastic sound sources from a fast random particle-mesh (RPM) method

Cited by 187 publications

References 30 publications

Random particle methods applied to broadband fan interaction noise

Random particle methods applied to broadband fan interaction noise

A second golden age of aeroacoustics?

Numerical simulation of the whole flow field of an axial-flow fan used in an air conditioner

Contact Info

Product

Resources

About