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    Noise from Forced Mixers

    Funded by the Indiana 21st

    Century Research andTechnology Fund

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    Correlating RANS Computed

    Mean Flow with Forced Mixed

    Jets

    C. Wright, G. Blaisdell, A. Lyrintzis

    School of Aeronautics & Astronautics

    Purdue University

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    Goals of Project

    The primary goal is to develop a greater

    understanding of the how noise from

    forced mixed jets may be correlated to the

    RANS calculated mean flow field.

    The ultimate goal is to develop quantitative

    correlations that could be used as input for

    a semi-empirical model

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    Approaches

    Careful selection of numerical tools such as theturbulence model and CFD code are veryimportant. Validation should concentrate on adetailed comparison of flow contours rather thanintegrated quantities.

    Grid development and validation should likewiseconcentrate on the details of the flow.

    Qualitative trends and observations regardingthe relationship between noise data and CFDresults should be investigated before attemptingto quantify the results.

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    Internally Forced Mixed Jet

    By

    pass

    Flow

    Mixer

    Core

    Flow

    Nozzle

    Tail Cone

    Exhaust

    Flow

    Exhaust / Ambient

    Mixing Layer

    Lobed Mixer

    Mixing Layer

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    Forced Mixer

    H

    Lobe Penetration

    (Lobe Height)

    H:

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    3-D Mesh

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    WIND Code options

    2nd order upwind scheme

    1.7 million/7 million grid points

    8-16 zones 8-16 LINUX processors

    Spalart-Allmaras/ SST turbulence model

    Wall functions

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    Grid Dependence

    1.7 million grid points 7 million grid points

    Density

    Vorticity

    Magnitude

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    Spalart-Allmaras and and Menter SST at

    Nozzle Exit PlaneSpalart SST

    Density

    Vorticity

    Magnitude

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    Vorticity Magnitude at Nozzle Exit

    ( Scale Geometry)

    Low Penetration Mid Penetration High Penetration

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    Turbulent Kinetic Energy at Nozzle Exit

    ( Scale Geometry)Low Penetration Mid Penetration High Penetration

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    High Penetration Mixer Flowfield

    Case is for a high throttlesetting at Mach 0.2

    Used Menter SSTTurbulence Model

    Good overall agreementwith experiment. TKE is alittle low for X/D = 1.0 andX/D = 2.0. CFD resultstend to be overly sharp anddefined.

    CFD and experiment bothshow a substantial amountof interaction between thefree shear layer and thestreamwise vortices.

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    Medium Penetration Mixer Flowfield

    Case is for a high throttlesetting at Mach 0.2

    Used Menter SSTTurbulence Model

    The agreement between theCFD and the experiment isabout the same as for thehigh penetration case.

    The free shear layer and thestreamwise vortices exist asseparate and distinct flowstructures through at leastX/D = 1.0.

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    Experimental Results (1/4 Scale Model)

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    Experimental Results (1/4 Scale Model)

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    Current State of Project

    Finishing up CFD runs. Using WIND and MenterSST turbulence model.

    Currently studying noise data along with RANS

    results and PIV experiments (including lowpenetration case not shown).

    Have identified some interesting trends, and arepreparing more CFD runs to finalize these

    comparisons. Specifics of research is being published in a

    paper for the AIAA Reno conference (Jan. 2004).

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    Development of a Semi-EmpiricalJet Noise Model for Forced Mixer

    Noise Predictions

    L. Garrison, Purdue University

    W. Dalton, Rolls-Royce Indianapolis

    A. Lyrintzis and G. BlaisdellPurdue University

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    Four-Source Model Comparisons Four-Source method implementation

    Predictions for the confluent mixer

    Two-Source Model Formulation

    Optimization procedure

    Optimized results for the 12 lobe mixers

    Optimized parameter correlations

    Outline

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    Practical Configuration Geometry

    Secondary Flow

    Primary Flow

    Flow Mixer

    Nozzle Wall

    Tail Cone

    (Bullet)

    Final Nozzle Exit

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    Dual Flow Configurations

    Four-Source method

    developed for acoplanar, coaxial jet

    The configuration for the

    practical case has a

    buried primary flow in a

    convergent nozzle with a

    center body (tail cone orbullet)

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    Based on an Equivalent Coaxial Jet

    Approach developed by B. Tester and M.Fisher

    Define primary and secondary jets at the

    final nozzle exit plane Assumptions

    Isentropic flow in the nozzle

    Primary and secondary flows do not mix in thenozzle

    Static pressure of the two flows at the exitplane are equal

    Single Jet Property Calculation

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    Single Jet Property Calculation

    Jet Areas at the Final Nozzle Exit

    GuessAp

    CalculateAs

    Calculate Mexit

    Calculate Pstatic

    Iterate until the primary and secondary static

    pressures are equal

    pns AAA

    121

    2

    2

    1

    2

    2

    1

    1

    1

    cs

    exit

    exit

    cs

    cs

    exit

    M

    M

    M

    M

    A

    A

    12

    2

    11

    exit

    static

    oM

    P

    PJ

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    Four-Source Method Implementation Primary and Secondary Jet Properties

    Calculated at the final nozzle exit

    Mixed Jet and Effective Jet Properties

    1

    1TT

    1

    ))(1(1DD

    1

    1VV

    pm

    2

    1

    2pm

    2

    pm

    p

    s

    p

    s

    p

    s

    A

    A

    V

    V

    pe

    1/22

    pe

    pe

    TT

    1DD

    VV

    7dBe

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    Current Prediction Method Comparisons

    Four-Source / Single Jet / Experimental

    Data Comparisons Confluent Mixer, Low Power Operating Point

    ARP876C Method used for all single jetnoise predictions

    Bass and Sutherland correction for atmosphericattenuation

    Four-Source coaxial jet prediction Based on equivalent coaxial jet properties

    Single jet prediction Based on fully mixed flow at the final nozzle exit

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    Current Prediction Method Comparisons

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    Forced Mixer Experimental Data

    Four Mixer Configurations

    Confluent Mixer (CFM)

    Low Penetration 12 Lobe Mixer (12CL)

    Mid Penetration 12 Lobe Mixer (12UM)

    High Penetration 12 Lobe Mixer (12UH) Low Power Operating Point

    H

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    Forced Mixer Experimental Data

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    Objective:

    Match the experimental data SPL spectrum at all

    angles and all frequencies using two single stream

    jet sources.

    Formulation:

    s s s s 1 s0 USPL ( , ) SPL(V ,T ,D , , ) 10lo Bg ( dF , )cf ff f

    Single Jet

    Prediction

    Source

    Strength

    Spectral

    Filter

    Variable Parameters:

    m m m m 1 m0 DSPL ( , ) SPL(V ,T ,D , , ) 10lo Bg ( dF , )cf ff f

    s m

    Spectral Filter Cut-off Frequency

    , Source StrengtdB hs )d BB (d

    cf

    Two-Source Model

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    Two-Source Model

    dB

    dB

    fc

    fc

    Variable Parameters

    1/3 Octave Band Number 1/3 Octave Band Number

    1/3OctaveSP

    L[dB]

    1/3OctaveSP

    L[dB]

    Effects of Variations in dB Effects of Variations in fc

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    Optimization Procedure For a given geometry and operating condition,optimize the source strength parameters

    (dbs, dbm) for a range of cut-off frequencies

    Find the set of optimized parameters that

    minimize the prediction error for all operating

    conditions

    Correlate the final set of parameters to the

    changes in the mixer design

    Two-Source Model Optimization

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    Optimization Challenges

    Optimum Criterion Maximum Error

    Average Error

    Weighted Error

    Solution Non-Uniqueness Local Minima

    Non-Linear Behavior

    Optimization Tools

    Nonlinear Least Squares

    MATLAB: lsqnonlin (LevenbergMarquadt Optimization

    Method )

    Two-Source Model Optimization

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    Two-Source Model Optimization

    15 Microphone locations (90 to 160 in 5 increments)

    1 Sound Pressure Level (SPL) spectrum per microphone

    27 Frequency Bands per spectrum (1/3 Octave Bands)

    405 SPL values per data point

    Microphone Locations

    Jet80observer

    J

    r

    D

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    Two-Source Model Optimization

    Optimum Criterion

    Based on a OASPL type weighting

    At each observer angle:

    Weighted error values:

    exp exp

    max

    0.1 SPL , SPL ,

    , 10i if f

    w iE f

    , , , ,w exp pred Error f E f SPL f SPL f

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    Two-Source Model Results Test Case

    Low Penetration Mixer Low Power Operating Point

    Two-Source Model Upstream Source: Secondary Jet

    Downstream Source: Mixed Jet

    Prediction

    Method

    Maximum

    Error [dB]

    Average

    Error [dB]

    Weighted

    Error [dB]

    Four-Source 13.18 2.56 0.41

    Single Jet 12.02 2.53 0.64

    Two-Source 8.35 1.29 0.36

    O ti i d T S R lt

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    Optimized Two-Source Results

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    Optimized Two-Source Results

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    Current jet noise predictions do notaccurately model the noise from jets withinternal forced mixers

    Forced mixer jet noise can be modeled by

    a combination of two single jet sources Optimized Two-Source model source

    strengths and cut-off Strouhal numbersappear to correlate linearly with theamount of lobe penetration

    Summary

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    Fisher, M.J., Preston, G.A., and Bryce, W.D., A Modelling of the

    Noise from Simple Coaxial Jets Part I: With Unheated PrimaryFlow, Journal of Sound and Vibration, 209(3):385-403, 1998

    Fisher, M.J., Preston, G.A., and Mead, C.J., A Modelling of the

    Noise from Simple Coaxial Jets Part II: With Heated Primary Flow,

    Journal of Sound and Vibration, 209(3):405-417, 1998

    ARP87C: Gas Turbine Jet Exhaust Noise Prediction, Society ofAutomotive Engineers, Inc., November, 1985.

    Bass, H.E., Sutherland, L.C., Zuckerwar, A.J., Blackstone, D.T., and

    Hester, D.M., Atmospheric Absorption of Sound: Further

    Developments, Journal of the Acoustical Society America,

    97(1):680-683, 1995

    References

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    Two-Source Model Optimization

    SPLexp - SPLpredSPLexpSPLexpmax