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1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic Noise Prediction Method Jonathan SCOTT CFD Engineer 03/12/2013

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Page 1: Multi-source Aeroacoustic Noise Prediction Methodmdx2.plm.automation.siemens.com/.../Presentation/...Mar 12, 2013  · 1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic

1 Issue 01 APR2012, RCO-F-DSE-4051

Multi-source Aeroacoustic Noise

Prediction Method

Jonathan SCOTT CFD Engineer

03/12/2013

Page 2: Multi-source Aeroacoustic Noise Prediction Methodmdx2.plm.automation.siemens.com/.../Presentation/...Mar 12, 2013  · 1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic

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Introduction

Trend to reduce engine displacement while increasing break power by

turbo charging engines

Traditionally GT Power and Wave are used for predicting engine order

content when developing exhaust systems

Our company has had mixed results using a combination of

RANS/Vnoise

Rule of thumb; maximum mach number < 0.25

The latter inherently assumes aero-acoustic sources are solely

dependent on Mach number

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Mach number

So

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d P

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(dB

)All bends

Straight pipe

Test data of Sound power against Mach number

for pipes with an outer diameter of 1.75”

Looking at Mach Numbers in the tailpipe does not alleviate all concern for

flow noise

~ 6 dB

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Review of available aero-acoustics methods

DNS

Predict all eddie scales directly to solve the Navier-Stokes equations

RANS

The averaged version of the Navier-Stokes equation are solved along with another equation to represent all turbulent scales.

Only the effect of eddies on the mean flow are captured

Vnoise

The use of a RANS simulation as an input into a noise propagation software and captures the propagation to the desired microphones.

Not feasible for our

applications and

resources

Does n’t capture the

physics completely,

aero-acoustic

analogies have

shown some success

Still limited by the

RANS input,

additional software,

time and resources

required, mixed

success

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Multi-source Aeroacoustic Noise

RANS with an acoustic analogy seems to offer the best solution

Initial objective was to develop a methodology which is within 3 dB of measurements and create a tailpipe design guideline

Chosen to use the Proudman acoustic analogy

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Background Fluid Dynamics

The first is caused by flow separation around pipe bends

Pipe bend

The second is commonly known as “jet noise”

Jet noise

Page 7: Multi-source Aeroacoustic Noise Prediction Methodmdx2.plm.automation.siemens.com/.../Presentation/...Mar 12, 2013  · 1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic

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Proudman analogy (Lilley)

The acoustic power, AP per unit volume (W/m3)

n

i

SPL

T

i

SPL1

1010 10log10

STAR-CCM+

manual

STAR-CCM+

manual

[2]

The total acoustic power per unit volume can be reported in dB:

Where (Pref) is the reference acoustic power; 10e-12 W/m3

Using the classical summation for multiple acoustic sources [2], the total sound power can be found

The largest total is when both sources are the same value and thus the total is 3 dB louder than the single source.

Page 8: Multi-source Aeroacoustic Noise Prediction Methodmdx2.plm.automation.siemens.com/.../Presentation/...Mar 12, 2013  · 1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic

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Proudman adjusted wake

Adjusted Proudman sources

Bend

region

Wake

region

+ C1

+ C2

[3]

[4]

Proudman adjusted bend

Page 9: Multi-source Aeroacoustic Noise Prediction Methodmdx2.plm.automation.siemens.com/.../Presentation/...Mar 12, 2013  · 1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic

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RANS CFD Methodology

2mm cell size in the wake

Volume refinement around the pipe bend

A low Reynolds mesh

The K-omega SST model

Page 10: Multi-source Aeroacoustic Noise Prediction Methodmdx2.plm.automation.siemens.com/.../Presentation/...Mar 12, 2013  · 1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic

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0 deg

Axial Radial

Typical flow for a 90°bend

Radial flow magnitude can be 2/3 of the axial mean flow so the secondary

flow can be quite strong.

45 deg

Axial Radial

90 deg

Axial Radial

1D downstream

Axial Radial

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Typical flow for a 90°bend

Velocity Turbulent Kinetic Energy

Proudman Acoustic Power

Proudman Acoustic Power

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Parts tested

Do: 55 mm

Do: 50 mm

Do: 45 mm

Straight pipes Bent pipes

Do: 57 mm, Rc/r: 3.2

Do: 45 mm, Rc/r: 4.2

Do: 45 mm, Rc/r: 3.6

Do: 45 mm, Rc/r: 3.0

Do: Outer pipe diameter

r: Inner pipe radius

Rc: Radius of curvature of bend

Rc/r: Bend ratio Rc

r

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Comparison of test data to Proudman analogy

Straight pipe Do: 45mm

With the Proudman correction [3], the correlation is excellent

Flow rate (SCFM)

So

un

d P

ow

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(dB

)Test

Proudman

Proudman corrected

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Comparison of test data to Proudman analogy

For all straight pipes

Proportional relationship between sound power and Mach Number for

straight pipes

Mach number

So

un

d P

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(dB

)Test

Proudman corrected

Page 15: Multi-source Aeroacoustic Noise Prediction Methodmdx2.plm.automation.siemens.com/.../Presentation/...Mar 12, 2013  · 1 Issue 01 APR2012, RCO-F-DSE-4051 Multi-source Aeroacoustic

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Comparison of test data to Proudman analogy

For the bent pipes

Using Proudman with correction [3] and integrating over the whole region

(Total), the sound power is always underpredicted

1 2 3 4 5 6 7 8

Case number

So

un

d P

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(dB

)

Test

Wake

Total

Average Δ ~ 2 dB

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Comparison of test data to Proudman analogy

For the bent pipes

Integrating separately for each source region and applying an adjustment to the

bend source strength [4] the average difference was reduced to less than 1 dB

1 2 3 4 5 6 7 8

Case number

So

un

d P

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(dB

)

Test

Wake

Total with bendadjust

Average Δ < 1 dB

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CFD predictions for a range of sizes available

from our prototype shop

Populate the range of sizes from our prototype shop, now we can create a

design guideline to reduce flow noise based upon bend ratio

Bend ratio

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d P

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(dB

)

Do: 45 mm, Angle: 60 deg

Do: 45 mm, Angle: 90 deg

Do: 57 mm, Angle: 60 deg

Do: 57 mm, Angle: 60 deg

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Conclusions

Aero-acoustics prediction within 1 dB using the Proudman analogy and two small correction factors

Quantifying the contribution of each source is easy to implement via field functions

Design guideline was populated so that we can minimize aero-acoustic noise

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Future

Additional sizes from our prototype shop need to be added to the

design chart

Further testing required to understand how the distance between the

pipe bend and tailpipe exit affect the sound power

INCE paper, submission pending

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Questions

???