nasa’s pursuit of low-noise propulsion for low-boom

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1 NASA’s Pursuit of Low-Noise Propulsion for Low-Boom Commercial Supersonic Vehicles James Bridges, Clifford A. Brown, Jonathan Seidel NASA Glenn Research Center AIAA SciTech 08 January 2018 Supported by NASA Advanced Air Vehicles Program/Commercial Supersonic Technology Project And by many, many researchers working with NASA on supersonic aircraft noise.

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NASA’s Pursuit of Low-Noise Propulsion for Low-Boom Commercial Supersonic Vehicles

James Bridges, Clifford A. Brown, Jonathan SeidelNASA Glenn Research Center

AIAA SciTech 08 January 2018

Supported byNASA Advanced Air Vehicles Program/Commercial Supersonic Technology ProjectAnd by many, many researchers working with NASA on supersonic aircraft noise.

2

Airport Noise—A Commercial Supersonics ChallengeCu

m E

PNdB

re C

hapt

er 3

Concorde60

30

0

-30

-601970 1980 1990 2000 2010 2020

Year of Certification

NASA Supersonics N+2 Goal“Stage 4 – 10 EPNdB”

For Lockheed 1044 aircraft, Stage 4 – 10 EPNdB equates to 92.7 EPNdB at Lateral observer. This is our Noise Goal.

3

NASA’s Supersonic Low Noise Propulsion Technical Challenge

Exit Criteria: Creating design tools and innovative concepts for integrated supersonic propulsion systems with noise levels of 10 EPNdB less than FAR 36 Stage 4 demonstrated in ground test. • Built on years of jet noise reduction exploration, prediction tool development• Based on Lockheed-Martin 1044 airframe (aero performance, sonic boom)

• 70 PAX, 145-tonne, low boom, 1.6 Mcruise

• Explored propulsion cycle/nozzles; focused on installed jet exhaust noise• Validated designs in scaled model rig test with simulated planform

LM 1044 vehicle

NASA propulsion system studies

Experimental validation

4

Innovative Nozzle Concepts Explored

2011 2012 2013 2014 2015

Mixer-Ejector Twin Jet Shielding 3-Stream Offset Split Velocity Profile

Plasma Excitation High Aspect Ratio Inverted Velocity Profile

Acoustic benefits documented in databases for modeling used in design.

5

Broad Range of Noise Prediction Tools

• NASA supported development of cutting edge jet noise prediction tools, from empirical models for system-level predictions, to large eddy simulations.

RANS-based noise prediction

Fun3D

PIV

Validation of RANS and LES

LES for jet noise

Stanford U

Ma=0.9, cold Twin Jets at Z4Strouhal Number = 0.33

D S

PL (d

B)

-3

-2

-1

0

1

2

3

3

2

1

0

-1

-2

-3

DdB

Empirical models

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90

95

100

105

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3-En

gine

Lat

eral

EPN

L, N

omin

al N

ozzl

e

Range

Variable Cycle Engine

Conventional

Early exploration of Variable Cycle Engines (VCE)Noise vs range

• Exercise NPSS numerical model for VCE and mixed flow turbofan (MFTF) designs.• Dominant design parameter for noise is Fan Pressure Ratio (FPR).• At low FPR, both engines have large losses in range for noise benefit.

100 nmi

Fan

Pres

sure

Rat

io

MFTF

7

Early exploration of Variable Cycle Engines (VCE)Noise vs Fan Diameter• Fan diameter as surrogate for sonic boom.• Lower FPR, larger engine diameter. Bad for boom, range.• VCE engines have smaller diameter, more weight for given FPR.

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5 6 7 8 9 10

3-En

gine

Lat

eral

EPN

L, N

omin

al N

ozzl

e

Fan Diameter (ft)

Variable Cycle Engine

Conventional

Fan

Pres

sure

Rat

io

MFTF

Single-Stage Fans

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Early exploration of Variable Cycle Engines (VCE)Fan stage count

• Increasing FPR produces smaller engines, more range.• As FPR further increases, fan losses become prohibitive—add fan stages.• As fan stages increase past 2, engine weight increases and max range suffers.• Two-stage VCE significantly better range than two-stage MFTF.• At FPRs where jet noise is tolerable, the mixed flow turbofan gives comparable

or better range.

Fan

Pres

sure

Rat

io

9

Acoustic Impact of Nozzle typeTSS models for noise of three-stream nozzles

• Empirical noise models for various three-stream nozzles developed from model-scale aeroacoustic tests.

• Applied as ‘corrections’ to basic Stone jet noise model in NASA’s Aircraft Noise Prediction Program (ANOPP).

Internal Mix Conventional

3StreamExt

Split

1

3StreamExtOffset

Inverted

Three-stream nozzle types in TSS

Three-stream test rig

Correction to basic jet noise spectral directivity prediction

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Iso16 Test: Nozzle Type Validation Results

• Noise prediction codes applied to VCE designs, tested on six nozzle types in isolation.

• Direct comparison of nozzles on same engine cycle.• Results compared at spectral directivity and EPNL levels.• Only separate flow nozzle significantly different.• Most cases predicted within expected uncertainty of ±1 EPNdB.

-4

-3

-2

-1

0

1

2

3

50 60 70 80 90 100 110

Pred

ict -

Dat

a (d

EPNd

B)

% thrust

EPNL Prediction Error

InternalMixConventionalExternMixInvertedSplitExternOffset

80

82

84

86

88

90

92

94

1.4 1.5 1.6 1.7

Sing

le, u

nins

talle

d je

t-com

pone

nt E

PNL

Nozzle Pressure Ratio

MFTFConventionalInvertedSplit3StreamExtOffset

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JSI Tests: Effect of Installation on Jet Noise

• Early simple experiments documented effect of shielding/reflection for simple round jet, and the addition of a trailing edge dipole source.

• Simple models developed for installation effect, but did not include impact of multiple stream nozzles, limited planform size, or flight.

StDj

1/12

Oct

ave

PSD

(dB

)

10-2 10-1 100 101

ShieldReflectIsolated

633273986859

5 dB

Shielding Effect

Jet / SurfaceInteraction Noise

Reflected Noise

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JSI1044 Test: Installation Impact

• Impact of installing engines underwing and overwing• Static (no flight stream) test• First jet-surface interaction test with multi-stream nozzles, realistic geometry

98

100

102

104

106

108

2.1 2.2 2.3 2.4 2.5

EPNL

Fan Pressure Ratio

Underwing

Isolated

Overwing

Static, xE/D~6, JSI1044 test

Jet E

PNL

2 dB

More shielding benefit possible from tailored nozzles—future tech development.

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90

92

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100

EPN

L, 3

-eng

ine,

jet c

ompo

nent

, 100

%

Range

Conventional

Inverted

Split

InternalMix

Ch4-10 goal

Selected

Engine/Nozzle Final Design for Validation

• VCE coupled with LM1044 aerodynamic model and new noise prediction codes to predict mission range and Lateral EPNL.

• Designs that maximize range while meeting noise goal selected for demonstration

• Also selected designs requiring Programmed Lapse Rate (PLR) to demonstrate design sensitivities.

Nozzle

100 nmiFPR=1.8

FPR=2.0

Internal Mix

Conventional

Split

Inverted

14

JSI16 Integrated Propulsion Test

• Ground test conducted on selected engine/nozzles to demonstrate that noise goal was met with integrated propulsion system.

• Test conducted at GRC Aero-Acoustic Propulsion Lab, an anechoic wind tunnel with engine simulator.

• Four nozzle types, seven engines, three installation variations, center top-mounted and outboard underwing installations assessed at multiple flight speeds.

Bridges, J. “Aeroacoustic Validation of Installed Low Noise Propulsion for NASA’s N+2 Supersonic Airliner”, AIAA SciTech 2018 Monday AM

15

Installation Effect—Mount Location

• EPNL for each engine as seen by Lateral observer• Grouped by engine/nozzle (plot) and cycle (color)

76

78

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50 60 70 80 90 100 110

Com

pone

nt E

PNL

(EPN

dB)

Throttle (%)

IVP44

S60R60R300S60R60R300

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50 60 70 80 90 100 110

Com

pone

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PNL

(EPN

dB)

Throttle (%)

IVS19

S60R60R300S60R60R300

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50 60 70 80 90 100 110

Com

pone

nt E

PNL

(EPN

dB)

Throttle (%)

IM01

S60R60R300S60R60R300

78

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90

50 60 70 80 90 100 110

Com

pone

nt E

PNL

(EPN

dB)

Throttle (%)

CVP01

S60R60R300

Split

Conventional

Inverted

Internal Mix

FPR=1.8

FPR=2.0

FPR=1.8

FPR=2.0

FPR=1.8

FPR=1.8

FPR=2.0

16

Comparisons of Design Predictions and Data

• JSI16 test Data plotted against design Predictions.• Predictions match Data within 1EPNdB, expected uncertainty of prediction

method.

90

92

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98

100EP

NL,

3-e

ngin

e, je

t com

pone

nt, 1

00%

Range

PredictionDataCh4-10 goal

Data Prediction

Conventional

Inverted

Split

InternalMix

Ch4-10 goal

100 nmi

Significance: We have valid design tools for propulsion noise and know what must be done to meet airport noise regulations. This is not yet a closed design.

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Summary

• NASA-supported research has helped develop significantly improved jet noise prediction methods.

• New tools allow strong insight into physics of jet noise generation, and design of exhaust systems for noise.

• NASA-supported research has explored many low-noise nozzle concepts brought forward by noise community.

• Acoustic performance of concepts shown to reliably reduce noise captured in system-level tools and used to validate physics-based methods.

• Installation effects on exhaust noise explored and modeled.• System-level propulsion studies used new noise tools to explore variable

cycle engine concepts and find best designs that meet LTO noise requirements for a low-boom, 70 pax, supersonic aircraft.

• Study results for noise validated in model-scale acoustic test.

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• While formally the Low-Noise Propulsion Tech Challenge was successfully met, there were caveats.

– Although the fidelity of the range calculations were rough, the range of the acoustically successful designs were not satisfactory for commercial airliners.

– The original LM1044 aircraft did have a low boom signature, but the larger engines would have necessitated a redesign of the flow lines to regain low boom status.

• Significant lessons learned for future development of commercial supersonic aircraft

– Airport noise will be a problem even if the vehicle does not fly supersonic over land.– Smaller aircraft than the 70PAX, M 1.6 LM1044 would be closer to subsonic fleet.– VCEs not significantly better than mixed-flow turbofans given noise restrictions.– Alternate operating procedures during landing and takeoff could help noise immensely.– Installation effects are very significant and should be take advantage of.

• LTO noise will have to be a major design requirement for successful design– Adequate noise levels cannot be obtained by nozzle design or engine cycle alone.– Acoustic benefits from propulsion installation will be required.

But there’s more work to be done…