Experimental determination of the aero-acoustic properties of an in-duct flexible Plate

Karlsson, Mikael; Holmberg, Andreas; Åbom, Mats; Fallenius, Bengt E. G.; Fransson, Jens H. M.

doi:10.2514/6.2008-3057

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…5 Data is available at different locations in the pipe, namely at three, six and nine pipe diameters downstream, and also at three diameters upstream of the mixer plate. These profiles vary with location, exhibiting different boundary layer thickness, and, thus, different wall shear stresses; for simplicity, however, a constant friction parameter, β = 0.75, was chosen (based on preliminary simulations performed on a coarse mesh).…”

Section: A Velocity Profilesmentioning

confidence: 99%

Towards the Development of Adaptive Finite Element Methods for Internal Flow Aeroacoustics

Abreu

Hoffman

Jansson

2013

19th AIAA/CEAS Aeroacoustics Conference

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We report the latest results obtained in the development of an adaptive finite element method for computational aeroacoustics (CAA). The new methodology is based on the General Galerkin (G2) method, which has been successfully used for the computation of incompressible, turbulent flow. Here, we simulate the flow past an in-duct mixer plate and compare the results with available experimental data. The comparisons include mean velocity profiles and frequency content of the turbulent signal. No direct simulation of sound or sound wave propagation has been performed; instead, simple analogy arguments have been used to extract acoustic results from incompressible simulations by assuming a direct correlation between the computed pressure drop signal and the sound at the far field. We were able to reproduce the sound signal from experiments with our incompressible simulation and our results compared well with both the level and the broadband frequency peak of the measured sound. We suggest that the methodology presented here is mainly suitable for the prediction of sound in low Mach number pipe flows.

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Section: A Velocity Profilesmentioning

confidence: 99%

Towards the Development of Adaptive Finite Element Methods for Internal Flow Aeroacoustics

Abreu

Hoffman

Jansson

2013

19th AIAA/CEAS Aeroacoustics Conference

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“…An experimental configuration approximating an exhaust system with a flexible triangular steel plate in a circular duct flow has been studied in 50 . The Reynolds number is 2.55 × 10 5 at a Mach number of 0.12.…”

Section: Fluid-structure Interaction and Turbulencementioning

confidence: 99%

Unicorn: Parallel adaptive finite element simulation of turbulent flow and fluid–structure interaction for deforming domains and complex geometry

et al. 2013

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We present a framework for adaptive finite element computation of turbulent flow and fluid-structure interaction, with focus on general algorithms that allow for complex geometry and deforming domains. We give basic models and finite element discretization methods, adaptive algorithms and strategies for efficient parallel implementation. To illustrate the capabilities of the computational framework, we show a number of application examples from aerodynamics, aero-acoustics, biomedicine and geophysics. The computational tools are free to download open source as Unicorn, and as a high performance branch of the finite element problem solving environment DOLFIN, both part of the FEniCS project.

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“…An experimental configuration approximating an exhaust system with a flexible triangular steel mixer plate in a circular duct flow has been studied in Karlsson et al (2008). The Reynolds number is 2.55 × 10 5 at a Mach number of 0.12.…”

Section: Flexible Mixer Plate In An Exhaust Systemmentioning

confidence: 99%

Framework for adaptive fluid-structure interaction with industrial applications

Jansson

Degirmenci

Hoffman

2013

IJMATEI

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We present developments in the Unicorn-HPC framework for unified continuum mechanics, enabling adaptive finite element computation of fluid-structure interaction, and an overview of the larger FEniCS-HPC framework for automated solution of partial diffential equations of which Unicorn-HPC is a part. We formulate the basic model and finite element discretisation method and adaptive algorithms. We test the framework on a 2D model problem consisting of a flexible beam in channel flow, and to illustrate the capabilities of the computational framework, we show two application examples from industry and medicine. We simulate a flexible mixer plate in turbulent flow in an exhaust system where the target output is aeroacoustic quantities. The second example is a self-oscillating vocal fold configuration, where the ultimate goal is to predict how the voice is affected by physiological changes from aerodynamics. Here we give the displacement signal of a point on the folds.

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Experimental determination of the aero-acoustic properties of an in-duct flexible Plate

Cited by 4 publications

References 8 publications

Towards the Development of Adaptive Finite Element Methods for Internal Flow Aeroacoustics

Towards the Development of Adaptive Finite Element Methods for Internal Flow Aeroacoustics

Unicorn: Parallel adaptive finite element simulation of turbulent flow and fluid–structure interaction for deforming domains and complex geometry

Framework for adaptive fluid-structure interaction with industrial applications

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