caro - presentation of a caa formulation based on ligthills analogy for fan noise

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_______________________________________________________________________________ Fan Noise 2007 Lyon (France) 17-19 September 2007 PRESENTATION OF A CAA FORMULATION BASED ON LIGHTHILL’S ANALOGY FOR FAN NOISE Stéphane CARO 1 , Robert SANDBOGE 2 , Jayanthi IYER 3 , Yoshiyuki NISHIO 1 1 Free Field Technologies SA, Axis Park LLN, 1435 Mont-St-Guibert, BELGIUM 2 Pioneer Solutions Inc., 143 Cadycentre #351, Northville, MI 48167, USA 3 Visteon Climate Control Systems, 45000 Helm St., Plymouth, MI 48170, USA SUMMARY The purpose of this work is to evaluate a Computer Aided Engineering (CAE) method in which computational aero acoustics (CAA) techniques are used to predict the noise level from automotive fans. In this paper the extended version of the variational formulation of Lighthill's analogy is used. This formulation is ideally suited to the finite element method (FEM). It accounts for aerodynamic sources through two source terms. The first term accounts for volume sources; the second term accounts for sources defined on control surfaces, i.e., surfaces where the normal flow velocity does not vanish. In the first section of this paper, the methodology is presented for applications without a fan. The second section presents the extension for rotating machines. In the third section, the coupling strategy with the CFD code is presented. The fourth section presents a validation on the problem of a production HVAC blower. INTRODUCTION One new challenge in the automotive industry is to ensure that the noise level in an automotive cooling system or an air handling system is sufficiently low for all operating conditions. Thanks to the considerable progress made over the last decade on the motor noise, for most operating conditions, the blower has now become the major noise contributor for the cabin noise level. For this reason, automobile manufacturers are placing increased emphasis on the reduction of cabin noise level. This has resulted in more stringent noise requirements for the design of air handling systems and other cooling systems. The objective of this contribution is to give a methodology which allows the suppliers, at a design stage, to check whether a technological choice will fit the needs of the OEM. A computational aero-acoustics (CAA) approach based on a variational formulation of Lighthill's analogy is presented and then validated for a blower application. The CAA methodology is designed to be used on real world industrial applications where efficient evaluation of design proposals is critical. The approach is based on the Lighthill’s analogy, also called hybrid approach, which means in practice that the sources are computed in a first step, and the propagation is performed in a second step. All current methodologies rely on this strategy today, because a direct

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Page 1: Caro - Presentation of a CAA Formulation Based on Ligthills Analogy for Fan Noise

_______________________________________________________________________________Fan Noise 2007 Lyon (France) 17-19 September 2007

PRESENTATION OF A CAA FORMULATION BASED ONLIGHTHILL’S ANALOGY FOR FAN NOISE

Stéphane CARO 1, Robert SANDBOGE 2, Jayanthi IYER 3, Yoshiyuki NISHIO

1

1 Free Field Technologies SA, Axis Park LLN, 1435 Mont-St-Guibert, BELGIUM2 Pioneer Solutions Inc., 143 Cadycentre #351, Northville, MI 48167, USA

3 Visteon Climate Control Systems, 45000 Helm St., Plymouth, MI 48170, USA

SUMMARY

The purpose of this work is to evaluate a Computer Aided Engineering (CAE) method in whichcomputational aero acoustics (CAA) techniques are used to predict the noise level fromautomotive fans. In this paper the extended version of the variational formulation of Lighthill'sanalogy is used. This formulation is ideally suited to the finite element method (FEM). Itaccounts for aerodynamic sources through two source terms. The first term accounts for volumesources; the second term accounts for sources defined on control surfaces, i.e., surfaces wherethe normal flow velocity does not vanish.In the first section of this paper, the methodology is presented for applications without a fan.The second section presents the extension for rotating machines. In the third section, thecoupling strategy with the CFD code is presented. The fourth section presents a validation onthe problem of a production HVAC blower.

INTRODUCTION

One new challenge in the automotive industry is to ensure that the noise level in an automotivecooling system or an air handling system is sufficiently low for all operating conditions. Thanks tothe considerable progress made over the last decade on the motor noise, for most operatingconditions, the blower has now become the major noise contributor for the cabin noise level. Forthis reason, automobile manufacturers are placing increased emphasis on the reduction of cabinnoise level. This has resulted in more stringent noise requirements for the design of air handlingsystems and other cooling systems. The objective of this contribution is to give a methodologywhich allows the suppliers, at a design stage, to check whether a technological choice will fit theneeds of the OEM.

A computational aero-acoustics (CAA) approach based on a variational formulation of Lighthill'sanalogy is presented and then validated for a blower application. The CAA methodology isdesigned to be used on real world industrial applications where efficient evaluation of designproposals is critical. The approach is based on the Lighthill’s analogy, also called hybrid approach,which means in practice that the sources are computed in a first step, and the propagation isperformed in a second step. All current methodologies rely on this strategy today, because a direct

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Fan Noise 2007 2Lyon (France), 17-19 September 2007

computation of both the sources and the resulting acoustic waves would be unaffordable, for severalreasons widely detailed in the literature.

The general strategy is sketched on Figure 1. The control volumes used in the simulations aredirectly derived from the CAD models used in the product development process. A transientcomputational fluid dynamics (CFD) simulation with moving geometry is performed to computeacoustic noise sources. The noise sources are used in an acoustic wave propagation simulation tocompute the acoustic field, which predicts the sound pressure level in the near field and the farfield. The simulation process has two branches, one branch to compute the transient flow solution,and one branch to compute the acoustic response in and around the source region. Note that theCFD branch uses the mesh developed for the acoustic propagation in addition to the CFD mesh.The acoustic source terms computed in the CFD simulation are integrated on the acoustic mesh; thisapproach minimizes the numerical error associated with developing the acoustic sources from theflow computation. In the next sections, details are given on all the steps of this process.

Figure 1. Schematic of the computation aeroacoustics implementation applied for this work. Thesimulation model is defined by the CAD models with its associated physical attributes andboundary conditions. The computed sound pressure level (SPL) is used in the validation.

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ACOUSTIC FORMULATION

THE COMPUTATIONAL AERO-ACOUSTICS FORMULATION

This section presents the derivation of the acoustic model and a theoretical comparison with theCurle’s analogy.

The flow acoustic problem is defined on a geometrical domain which can be bounded orunbounded. For a compressible fluid, the mass conservation (continuity) equation can be written,using index notation, as:

where ρ is the fluid density and v is the fluid velocity vector. The momentum conservation (Navier-Stokes) equation can be written:

where p is the compressive stress tensor. By introducing a new tensor definition, a constant a0 andby manipulating these two equations, Lighthill finally found this last expression with no furtherapproximation:

where ρ’= ρa is the acoustic density and Tij the Lighthill’s tensor, often presented in its simplifiedform for low Mach numbers and high Reynolds numbers:

with ρ0 the local mean flow density. This Lighhill’s tensor is intended to be computed by anexternal CFD code, whereas the resolution of the propagation equation above is performedafterwards.

The oldest strategy proposed to solve this propagation equation relies on the use of Green functions;this is what is proposed in [Lighthill] but also in [Curle], [FWH] and lots of others. The drawbackof all these integral explicit formulations is that the use of these free field Green functions forsolving the propagation equation makes the resolution valid only for external propagation problems,where the free field assumption is acceptable. In most industrial problems, thought, this assumptionis not valid: the presence of ducts, casings, walls etc perturbs a lot the acoustic waves.

A discrete version of these formulations can easily be implemented in a classical Boundary ElementMethod code (BEM). In that case, it is possible to deal with open interior problems, like HVACsystems for example, but the wall pressure fluctuations on the entirety of the surfaces is needed asan input. Unfortunately, in most practical applications, the quality of the CFD is sufficient to give agood enough input only on some of these walls. Besides, the performance limitations intrinsic toBEM formulations (dense matrix, irregular frequencies etc) bounds the size of addressableproblems. For these reasons the practical use of BEM techniques is limited to academic studies.

Another alternative consists in the variational formulation of Lighthill's analogy implemented in aFinite Element Method code, initially proposed in [Oberai1] and [Oberai2]. As explained in[Caro04], the technique is very similar to what is suggested in the Curle paper:

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Step In Actran/LA In CurleWrite the strong variational form of (L) Integration of (L) over a volume;

Write the weak variational form This leads to a volume integral plus a surface

integral Use Green's theorem once Use the Green's theorem twice Use the definition of Tij in surface integrals Use the definition of Tij in surface integrals

Assume a normal acoustic velocity at solid boundaries Assume a normal acoustic velocity at solid

boundaries

Finalformula

Volumesource j

ij

x

T

∂∂

ijT

Surfacesource

None Pi

As it is visible in the table above, most steps are very similar, except that the column on the leftnaturally leads to FEM implementation whereas the column on the right naturally leads to integralexplicit methods like Curle. In principle both techniques should then have comparable advantagesand drawbacks; the really interesting difference is subtle and resides in the source interpretation.With Curle, there are two source terms; the volume source term (quadrupole) is dropped off at lowMach numbers and only the dipole terms (Pi) are kept. This is why the wall pressure fluctuationsmust be known prior to the acoustic computation, and this is what makes the use of such techniquesvery unpractical. With the FEM implementation, the so-called dipoles are just boundary conditionsof the FEM problem: it is not needed to know anything on what happens at the walls, only theknowledge of Tij in the regions of the most intense sources is useful. This subtle difference gives inpractice a considerable advantage to the FEM technique.

This approach is well suited to treat flow noise problems with volumetric sources only, but thesources must be known a priori only in the regions where the Lighthill’s tensor amplitude is highenough: this is the main advantage of the method. Indeed, as explained by [Howe] for example, theregions where the Lighthill’s tensor amplitude is high correspond to the regions where the vortexstructures are large and powerful. The method has been subsequently implemented in the Actranacoustic software package and is already used in an industrial context by several OEMs andsuppliers.

To finish explaining the similarities and differences, a simple example is presented hereafter. Itcorresponds to a toy model of a simple Eppler profile (Figure 2) and a single quadrupole in thevicinity of its trailing edge. Following a strategy further detailed in [Caro04], the results obtainedusing a Matlab Curle implementation (ie: a direct BEM technique) and those obtained using theFEM implementation of Actran are compared.

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Figure 2: Problem definition: shape of the EPPLER387 profile and definition of the source

The main result is presented on Figure 3. The results obtained with Actran perfectly match theresults obtained using a Curle technique when keeping the quadrupole term. If the quadrupolecontribution is neglected (like would be done by using a BEM technique), on that example, theresults do not match anymore; the reason is that the frequency is relatively high, thus the diffractioneffects cannot be neglected anymore. Again, it is also important to note that when using the ActranFEM technique the source to take into account are localized at the regions where the vortexstructures contain energy, whereas when using the Curle (or BEM) approaches, the pressurefluctuations must be known prior to the computation with enough accuracy.

Figure 3: Comparison of the Actran FEM approach with the Curle approach

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EXTENSION TO ROTATING MACHINES

In the preceding part a technique has been presented which allows its users to post-process unsteadyLES- or DES-type data in a CAA code based on the variational formulation of the Lighthill’sanalogy. The ability to treat problems with sources on control surfaces was added in [Caro]. Thisaddition makes it possible to solve problems with moving geometry, such as a mower or fan rotor,where the control surfaces enclose the moving parts. The CAA formulation is given below.

The main strategy for the formulation is similar to what has been presented above, except thatinstead of saying that all the walls enclosing the computational domain are rigid, no specificassumption is made. This leads to the following weak formulation:

where

and .

In this formulation there are now two type of sources: volume sources are exported in the regionswhere the vortex structures contain energy, and surface sources are exported on the controlboundaries that end the computational domain. In theory this control boundary is arbitrarily chosen,but in practice, in order to have the most accurate source description, it is best to choose a surfaceclose to the rotor. An example is shown on Figure 4. More details are available in [Caro].

Figure 4: A typical computational domain for the CAA code Actran for blower applications:the rotor blades are not in the computational domain, their effects are seen

by the "porous" boundary condition

The surface source term is zero for stationary walls and walls vibrating in-plane: in that case theformulation reduces to the previous one. The surface term is non-zero for control surfacesassociated with moving geometry or surfaces that vibrate normal to their planes: this corresponds tothe extension. Another possibility to explain this “porous” boundary condition is that everythingwhich happens inside the control surface (blade side) has an effect outside through this boundarycondition.

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COUPLING WITH THE CFD CODE

The computational methods are constructed from certain variational formulations. The CFD methodis a Galerkin least squares finite element method, which is standard practice today for manyapplications. The coupling between the two codes takes benefit of the fact that both are finiteelement codes; the information coming from the CFD code is interpolated on Gauss points of theFinite Elements, which ensures a much more conservative exchange of data than with moretraditional techniques. See e.g. [Caro] or [Sandboge] for more details and references therein.

APPLICATION AND VALIDATION

Previously, an idealized automotive HVAC blower was analyzed, and showed reasonablecomparisons with experiment, see [Sandboge]. The agreement was not quite as good as the test withan axial fan, again from [Sandboge], and other validations such as [Sandboge07].A reason for this isthe geometrical complexity of a blower and the resulting complex fluid dynamics and acoustic waveinteractions, which demands a mesh that can resolve the scales of the physical phenomena.

In this paper a production HVAC blower is analyzed at a operating point similar to what is used in avehicle. The number of elements is larger than what was used in [Sandboge] and this leads to animproved comparison with experimental data, which was provided by Visteon Climate Control inPlymouth USA. It is just an illustration of the technique; with some more efforts on the CFDmainly, a better accuracy can be achieved, see for example [Sandboge07].

The impeller was driven by an electrical motor which produced minimal noise levels. The test wasperformed in a hemi-anechoic chamber with a hard floor. The floor was assumed to reflect allacoustic waves without loss in the simulations.

A snapshot of iso-surfaces of the divergence of the Lighthill's tensor is shown in Figure 5,indicating that noise is generated around and behind the blades.

Figure 5: Isosurfaces of constant divergence of Lighthill’s tensor(proportional to acoustic source strength).

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There are two important aspects in the design of a device in the computational aero acousticsanalysis: The generation of noise and the propagation of noise. The computational fluid dynamicssimulation can provide valuable information by studying animations of important flow quantities.For instance, by directly looking at the quantities present in the source terms in the variationformulation of Lighthill's analogy, it's possible to get a very good idea where the regions of themost serious noise generation are located. It's important to not just look at snaphots of randomlyselected time steps in the fluid dynamics solution, but to include the solution over a time interval,large enough to capture the overall dynamics of the course of events. For instance, when a rotorblade moves across a protrusion or an edge, it's possible to observe the change in the Lighthill'stensor, and determine the severity of the source by studying an animation of the scenario.

While it is valuable to study the cause of noise generation, it's equally important to assess the effectof the noise sources. The quantified effect (for instance measured using the sound pressure level)caused by the noise sources depend on many factors, such as interactions between waves, wallreflections, resonance, and distance. By studying the acoustic field in a 3D visualizer, it is possibleto get a thorough understanding of the behavior of the acoustic wave propagation for specificfrequencies or a range of frequencies.

Figure 6: Cut planes of the acoustic pressure field obtained after the Actran computation, in dB:such information are not easily available using tests

Figure 7: SPL result for the two front microphones, in fine and third octave bands.

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Fan Noise 2007 9Lyon (France), 17-19 September 2007

The sound pressure level for the acoustic field is shown on Figure 7 for two microphones in thefront, both in fine bandwidth and in third octave bands. Improving the quality of the CFD wouldlead to a better accuracy, see for example [Sandboge07]; however the purpose of the present workwas mainly to demonstrate the usability of the method and to show that reasonably accurate inputdata can lead to the correct trends in the far field (± 3dB in third octave bandwidth).

CONCLUSION

The CAA technique uses an extended version of the variational formulation of Lighthill's analogy.This formulation is ideally suited to the finite element method (FEM). It accounts for aerodynamicsources through two source terms. The first term accounts for volume sources; the second termaccounts for sources defined on control surfaces where the normal flow velocity does not vanish.

The comparison of the presented CAA simulation methodology with physical experiments showsgood agreement for frequencies up to roughly 2 kHz, which is the most important range for theseapplications. Better agreement could be achieved with more accurate input data.

The CAA simulations predict actual sound levels for rotating aeroacoustic sources, as well asprovide valuable nearfield information that can be easily visualized. The simulation gives easilyaccess to valuable information that would not be easily available by tests.

ACKNOWLEDGEMENTS

The analyses were carried out using Pro/Engineer CAD [PTC], FluidConnection [Pioneer],AcuSolve [Acusim], Actran/LA [FFT], Fieldview [Ilight] and gnuplot [GNU]. The authors wish tothank Mike Schneider from Visteon Climate Control Systems who performed the physicalexperiments.

REFERENCES

[Acusim] AcuSolveTM CFD solver, Acusim Software, Inc., 2685 Marine Way, Suite 1215,Mountain View, CA 94043, USA, www.acusim.com.

[Caro04] Caro, S., Ploumhans, P., and Gallez, X., Implementation of Lighthill’s Acoustic Analogyin a Finite/Infinite Elements Framework, AIAA Paper 2004-2891, 10th AIAA/CEASAeroacoustics Conference and Exhibit, Manchester, UK, 2004.

[Caro] Caro S., Ploumhans P., Gallez X., Sandboge R., Shakib F., and Matthes M., A NewFormulation based on Lighthill's Analogy applied to an Idealized Automotive HVACBlower using AcuSolve and Actran/LA, AIAA/CEAS 11th Aeroacoustic Conference, 23-25 May 2005, Monterey, California, USA, AIAA Paper 2005-3015, 2005.

[Curle] Curle, N., The Influence of Solid Boundaries upon Aerodynamic Sound, Proceedings ofthe Royal Soc. of London A231:505-514 1955.

[FFT] Actran 2006 Aeroacoustic Solutions: Actran/TM and Actran/LA - User's Manual, Free-Field-Technologies-S.A., Axis Park LLN, 1 rue E. Francqui, 1435 Mont-St-Guibert,Belgium, 2006.

[FWH] Ffowcs-Williams, J.E.. and Hawkings, D.L., Sound Generated by Turbulence andSurfaces in Arbitrary Motion, Philosophical Transactions of the Royal Soc. of LondonA264:321-342, 1969.

[GNU] Gnuplot plotting utility, www.gnuplot.info.

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[Howe] Theory of Vortex Sound, Cambridge Texts in Applied Mathematics, 2003.

[Ilight] Fieldview visualizer, Intelligent Light, 1290 Wall Street West, Lyndhurst, NJ 07071,USA, www.ilight.com.

[Lighthill] Lighthill M., On Sound Generated Aerodynamically, Proc. Roy. Soc., London, Vol.A 211, 1952.

[Oberai1] Oberai A., Ronaldkin F., and Hughes T., Computational Procedures for DeterminingStructural-Acoustic Response due to Hydrodynamic Sources, Comput. MethodsAppl. Mech. Engrg., Vol. 190, pp. 345-361, 2000.

[Oberai2] Oberai A., Ronaldkin F., and Hughes T., Computation of Trailing-Edge Noise due toTurbulent Flow over an Airfoil, AIAA Journal, Vol. 40, pp. 2206-2216, 2002.

[Pioneer] FluidConnection 2.0 User Guide, Pioneer Solutions Inc., 143 Cady Centre \#251,Northville, MI 48167, USA, 2007.

[PTC] Pro/ETM, Parametric Technologies Corp., 128 Technology Dr., Waltham, MA 02154,USA.

[Sandboge06] Sandboge R., Caro S., Ploumhans P., Ambs R., Schillemeit B., Washburn K.B., andShakib F., Validation of a CAA Formulation Based on Lighthill's Analogy UsingAcuSolve and Actran/LA on an Idealized Automotive HVAC Blower and on an AxialFan, AIAA/CEAS 12th Aeroacoustic Conference, 8-10 May 2006, Cambridge,Massachusetts, USA, 2006.

[Sandboge07] Sandboge R., Washburn K.B. and Peak, C., Validation o a CAA Formulation Basedon Lighthill’s Analogy for a Cooling Fan and Mower Blade Noise, 3rd Fan NoiseSymposium, Lyon, 2007.