On sound in an inverse sinusoidal nozzle with low Mach number mean flow

1996 ◽  
Vol 100 (1) ◽  
pp. 355-363 ◽  
Author(s):  
Luis M. B. C. Campos ◽  
Fernando J. P. Lau
Keyword(s):  
Mach Number ◽  
Mean Flow ◽  
Low Mach Number

The generation of sound by density inhomogeneities in low Mach number nozzle flows

1975 ◽  
Vol 70 (3) ◽  
pp. 605-622 ◽  
Author(s):  
J. E. Ffowcs Williams ◽  
M. S. Howe
Keyword(s):  
Mach Number ◽  
Free Space ◽  
Approximate Expression ◽  
Low Flow ◽  
Variable Pressure ◽  
Duct Flow ◽  
Mean Flow ◽  
Low Mach Number ◽  
Nozzle Orifice ◽  
Frequency Decomposition

This paper discusses the sound generated when an inhomogeneity in density is convected in a low Mach number steady flow through a contraction in a duct of infinite extent, and also when the inhomogeneity exhausts through a nozzle into free space. The analyses of Candel (1972) and Marble (1973) for the case of duct flow were based on a frequency decomposition of the incident inhomogeneity and cannot adequately deal with sharp-fronted inhomogeneities and entropy spots. However, the practical difficulties of this earlier work can be avoided at low flow Mach numbers by conducting the analysis in terms of an approximate expression for the acoustic Green's function in the manner described by Howe (1975). This method also permits a considerable extension of the range of the earlier investigations to the determination of the sound generated when the inhomogeneity is swept out of a nozzle orifice into free space. It is shown that the acoustic pressure perturbations developed in a duct at a contraction are in general proportional to the fractional difference between the density of the inhomogeneity and that of the mean flow times a typical mean flow pressure level, and are due principally to the fluctuation in thrust accompanying the passage of the inhomogeneity through the region of variable pressure gradient. The pressure waves generated at a nozzle orifice and radiated into free space are O(M0) smaller, where M0 is a mean flow Mach number based on the speed of sound in the jet.

scholarly journals Development of 3D boundary element method for the simulation of acoustic metamaterials/metasurfaces in mean flow for aerospace applications

2020 ◽  
Vol 19 (6-8) ◽  
pp. 324-346
Author(s):  
Imran Bashir ◽  
Michael Carley
Keyword(s):  
Experimental Data ◽  
Mach Number ◽  
Boundary Element Method ◽  
Boundary Element ◽  
Sound Propagation ◽  
Three Dimensional ◽  
Boundary Integral ◽  
Mean Flow ◽  
Low Mach Number ◽  
Element Method

Low-cost airlines have significantly increased air transport, thus an increase in aviation noise. Therefore, predicting aircraft noise is an important component for designing an aircraft to reduce its impact on environmental noise along with the cost of testing and certification. The aim of this work is to develop a three-dimensional Boundary Element Method (BEM), which can predict the sound propagation and scattering over metamaterials and metasurfaces in mean flow. A methodology for the implementation of metamaterials and metasurfaces in BEM as an impedance patch is presented here. A three-dimensional BEM named as BEM3D has been developed to solve the aero-acoustics problems, which incorporates the Fast Multipole Method to solve large scale acoustics problems, Taylor’s transformation to account for uniform and non-uniform mean flow, impedance and non-local boundary conditions for the implementation of metamaterials. To validate BEM3D, the predictions have been benchmarked against the Finite Element Method (FEM) simulations and experimental data. It has been concluded that for no flow case BEM3D gives identical acoustics potential values against benchmarked FEM (COMSOL) predictions. For Mach number of 0.1, the BEM3D and FEM (COMSOL) predictions show small differences. The difference between BEM3D and FEM (COMSOL) predictions increases further for higher Mach number of 0.2 and 0.3. The increase in difference with Mach number is because Taylor’s Transformation gives an approximate solution for the boundary integral equation. Nevertheless, it has been concluded that Taylor’s transformation gives reasonable predictions for low Mach number of up to 0.3. BEM3D predictions have been validated against experimental data on a flat plate and a duct. Very good agreement has been found between the measured data and BEM3D predictions for sound propagation without and with the mean flow at low Mach number.

Aerodynamic and Aeroelastic Characteristics of Oscillating Loaded Cascades at Low Mach Number—Part II: Stability and Flutter Boundaries

1980 ◽  
Vol 102 (2) ◽  
pp. 352-356 ◽  
Author(s):  
T. J. Akai ◽  
H. Atassi
Keyword(s):  
Mach Number ◽  
Strong Coupling ◽  
Finite Thickness ◽  
Unsteady Aerodynamics ◽  
Mean Flow ◽  
Aerodynamic Coefficients ◽  
Torsional Oscillations ◽  
Low Mach Number ◽  
Turbine Cascades ◽  
The Stability

The aerodynamic coefficients obtained from the analysis developed in Part I of this paper are utilized here to investigate stability and flutter boundaries for loaded cascades of airfoils with finite thickness. Combined bending and torsional oscillations for different stiffness ratios are studied for compressor and turbine cascades. The results show very significant effects of blade geometry and mean flow incidence on the stability and flutter boundaries. These effects are basically the consequence of strong coupling between the steady and unsteady aerodynamics of the cascade.

Vortex sound due to a flexible boundary backed by a cavity in a low Mach number mean flow

2007 ◽  
Vol 121 (3) ◽  
pp. 1345-1352 ◽  
Author(s):  
S. K. Tang ◽  
R. C. K. Leung ◽  
R. M. C. So
Keyword(s):  
Mach Number ◽  
Mean Flow ◽  
Low Mach Number ◽  
Vortex Sound

scholarly journals Low Mach number fluctuating hydrodynamics for electrolytes

2016 ◽  
Vol 1 (7) ◽  
Author(s):  
Jean-Philippe Péraud ◽  
Andy Nonaka ◽  
Anuj Chaudhri ◽  
John B. Bell ◽  
Aleksandar Donev ◽  
...  
Keyword(s):  
Mach Number ◽  
Fluctuating Hydrodynamics ◽  
Low Mach Number

scholarly journals An interface capturing method for liquid-gas flows at low-Mach number

2021 ◽  
Vol 216 ◽  
pp. 104789
Author(s):  
Federico Dalla Barba ◽  
Nicoló Scapin ◽  
Andreas D. Demou ◽  
Marco E. Rosti ◽  
Francesco Picano ◽  
...  
Keyword(s):  
Mach Number ◽  
Gas Flows ◽  
Low Mach Number ◽  
Interface Capturing
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