Holistic Aeropropulsion Concepts
NASA Aeronautics Research Institute
NASA Aeronautics Research Mission Directorate (ARMD)
2014 Seedling Technical Seminar
February 19-27, 2014
Principal Investigator: Vikram Shyam - GRC/RTT
Ali Ameri - RTT/OSU
Phillip Poinsatte - GRC/RTT
Douglas Thurman - RTT/ARMY
Dennis Culley - GRC/RHC
Peter Eichele - GRC/FTC
Sameer Kulkarni - GRC/RTT
Herb Schilling - GRC/VEO
Christopher Snyder - GRC/RTM
Surya Raghu - Advanced Fluidics LLC
Mike Zelek- GRC/FTC
Adam Wroblewski - GRC/RHI
a Langston 1980 |7J
c. Goldstein and Spores 1988 |8|
d. Wang et al. 1997 |9)
Fig. 1.5 Secondary flow field models from a. Langston (7], b. Sliarma and Butler [1],
Goldstein and Spores [8]. and Wang et al. [9].
(a) Sparrow hawk
(b) Tawny owl
Figure 3: Prepared bird wings used for the presentation of
the results
1
Outline
• Motivation
• Background
• Objectives
• Approach
— Biomimicry
-Autonomous Closed-Loop Flow Control (ACFC)
• Results
• Conclusions
2
NASA Aeronautics Programs
Conduct func
will produce innovative concepts,
tools, and technologies to enable
revolutionary changes for vehicles
that fly in all speed regimes.
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esearch Program
onduct research at an integrated
system-level on promising concepts and
technologies and explore/assess/demonstrate
the benefits in a relevant environment
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research needs for NextGen by
developing revolutionary concepts,
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innovative concepts, tools, and technologies to improve
the intrinsic safety attributes of current and future aircraft.
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comprehensive set of flight and ground-based
research facilities.
FA Program Organization Structure
NASA Aeronautics Research Institute
Fundamental Aeronautics Program Office
Aeronautical
Sciences Project
Fixed Wing
Project
Rotary Wing
Project
High Speed
Project
Aeronautical Sciences (AS)
Enable fast, efficient design &
analysis of advanced aviation
systems from first principles through
physics-based tools, methods, &
cross-cutting technologies.
Fixed Wing (FW)
Explore & develop technologies
and concepts for improved
energy efficiency &
environmental compatibility of
fixed wing, subsonic transports
Rotary Wing (RW)
Enable enable radical changes
in the transportation system
through advanced rotary wing
vehicles concepts & capabilities.
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Enable tools &technologies and
validation capabilities necessary to
overcome environmental &
performance barriers to practical
civil supersonic airliners.
4
NASA Subsonic Transport System Level Metrics
technology for dramatically improving noise, emissions, & performance
NASA Aeronautics Research Institute
TECHNOLOGY
TECHNOLOGY GENERATIONS
(Technology Readiness Level = 4-6)
BENEFITS* **
N+1 (2015)
N+2 (2020")
N+3 (2025)
Noise
(cum margin rel. to Stage 4)
-42 dB
LTO NOx Emissions
(rel. to CAEP 6)
-okTA
-75%
-tsG7o
Cruise NOx Emissions
(rel, to 2005 best in class)
1 -70%
-80%
Aircraft Fuel/Energy Consumption 1
(rel. to 2005 best in class)
cr - 33 % "
-50%
~ -60%
* Projected benefits once technologies are matured and implemented by industry. Benefits vary by vehicle size and mission. N+1 and N+3 values
are referenced to a 737-800 with CFM56-7B engines, N+2 values are referenced to a 777-200 with GE90 engines
** ERA'S lime -phased approach includes advancing "long -pole" technologies lo TRL 6 by 2015
X C0 2 emission benefits dependent on life-cycle CO a per M J for fuel and/or energy source used
5
Outline
NASA Aeronautics Research Institute
• Motivation
• Background
• Objectives
• Approach
— Biomimicry
-Autonomous Closed-Loop Flow Control (ACFC)
• Results
• Conclusions
Sources of Performance Hits
NASA Aeronautics Research Institute
Fan Noise
Compressor Stall HPT cooling
losses
Leakage from
seals, tips
Low-pressure
compressor
Combustor -
Noise, Mixing.
LPT -Weight
Low Re problems
Noise from aft stages
http://en.wikipedia.0rg/wiki/File:Turbofan_operation_lbp.svg
7
Incidence, Low Re Problems
NASA Aeronautics Research Institute
Horseshoe
vortex
Incidence angle
(d) -20“
Separation due to
adverse pressure
8
Flow Control
NASA Aeronautics Research Institute
• F I o w co nt ro I atte m pted
- Requires power
- Local effects that could be detrimental elsewhere
- Cannot adjust to changing environment
- VGJs extensively researched
- Blowing into BL is common
• Design compromise by averaging over mission
• Noise reduction by blowing into wake costs 5% compressor
bleed - unacceptable
• Sensing of flowfield and thermal field requires sensors/power
- trades performance for weight and cost
Biomimicry
• Imitating Life
• Using natural multi-parameter multi-objective
optimization to solve aeropropulsion
challenges
— Get something for almost nothing
• Challenges
— Geometric/ fluid dynamic scaling
- Identifying relevant physics to incorporate
10
NASA Aeronautics
Institute
X (mm) X (mm) X (mm)
Tamai et al., “Aerodynamic Performance of a Corrugated Dragonfly Airfoil Compared with Smooth Airfoils at Low Reynolds Numbers”
Known Bio-inspired Solutions
stream wise
velocity (m/s)
(a) Sparrowhawk
(b) Tawny owl
100
80
60
40
20
0
-20
-40
-60
streamwise
velocity (m/s)
5.0 m/s
80
60
40
20
0
-20
-40
-60
Fish et al., “The Tubercles on
Humpback Whales’ Flippers:
Application of
Bio-Inspired Technology” .
100
60
i 20
Geyer et al., “Silent Owl Flight, Experiments in the
Aeroacoustic Wind Tunnel”
streamwise
velocity (m/s)
« -5000HI
CM
■I 1 . I
• • • k i ••••»» ♦
11
Harbor Seal
NASA Aeronautics Research Institute
12
Harbor Seal
PIV on vibrissae at U of Rostock. Witte et al. 2012. Figure shows Q-criterion
• 40% mean drag coefficient reduction over cylinder
• 90% reduction of unsteadiness
13
Outline
NASA Aeronautics Research Institute
• Motivation
• Background
• Objectives
• Approach
— Biomimicry
-Autonomous Closed-Loop Flow Control (ACFC)
• Results
• Conclusions
Objectives - Fundamental Aero
| NASA Aeronautics Research Institute
• Use a holistic approach to
— Achieve a fuel burn reduction of approximately 3%
- Achieve noise Reduction of at least 2 db
]
Through
a. Passive Biomimicry
b. Autonomous Closed-Loop Flow Control (ACFC)
• Biomimetics enables more aggressive design that will
benefit further from ACFC
• While many applications have been studied, infinite
possibilities remain
15
Outline
NASA Aeronautics Research Institute
• Motivation
• Background
• Objectives
• Approach
-Biomimicry
-Autonomous Closed-Loop Flow Control (ACFC)
• Results
• Conclusions
16
Biomimetic Features
• Achieve delayed separation like seal whisker at
High Re
• Achieve distributed wake like seal whisker
• Keep profile drag at or below baseline
• Keep pressure side flow largely unaffected to
increase lift/power
17
Biomimetic Concept
Institute
a
• Create span-wise pressure gradient on suction side using
span-wise undulations
• Push adverse gradient to valleys near trailing edge
• Trailing edge valleys occur at span-wise location of leading
edge peaks
Peaks transition to valleys at crown location
Amplitude based on LE
radius
Pitch from Seal Whisker
18
Feasibility Study of Biomimetic Concept
| NASA Aeronautics Research Institute
• Potential flow solutions using MATLAB to understand span-
wise pressure gradients
• Unsteady 3D CFD using Glenn-HT
- Cp distribution at various span-wise locations
- Average wake pressure-loss coefficient 10% chord
downstream of TE
- Multiple incidence angles
• Wind tunnel testing
- SW2 cascade facility
- Total pressure surveys at 10% chord downstream of TE
- Hotwire surveys at 10% chord downstream of TE
- Multiple incidence angles
Outline
NASA Aeronautics Research Institute
• Motivation
• Background
• Objectives
• Approach
— Biomimicry
—Autonomous Closed-Loop Flow Control
(ACFC)
• Results
• Conclusions
20
ACFC Concept
NASA Aeronautics Research Institute
Use suction at the hub to divert BL from horseshoe vortex region and deliver it to
regions of separation and TE. This needs to be accomplished without moving
parts or external power.
Three Components:
1 .
2 .
3.
Source for flow control
• Slot upstream of LE on hub
• Positioned for maximum suction
• Positioned for maximum secondary flow
reduction
Performance improvement
• Pulsed flow at TE and SS
• Spanwise distributed pulsing slots at TE
based on owl feathers.
Fluidic control of flow
• Diverters and pulsing fluidics
• Manages flow from and to components
21
Feasibility Study of ACFC
NASA Aeronautics Research Institute
• 3D unsteady CFD
- Suction slot upstream of horseshoe vortex saddle point
- 3D simulation of fluidic actuators
• Wind Tunnel Tests
- Trailing edge pulsing with hotwire survey
• Fluidic actuator testing using bench-top tests
- Demonstrate repeatable consistent control
— Demonstrate versatile control of single fluidic actuator
using input signals
]
• Models created using FORTUS 250mc
22
Fuel Burn Sensitivities
-25
NASA Aeronautics Research Institute
-20
-10% SFC Reduction
-15
% Fuel Burn
Reduction
Estimate based on
Phase 1 results -
LPT
Predicted
at start of
Phase 1
o
-5% SFC Reduction
-10
-20
% Engine Weight Reduction
» This was previous work for a 300 PAX aircraft
» Benefits might be slightly lower for N2A (7 67 class) aircraft
Contents
NASA Aeronautics Research Institute
• Motivation
• Background
• Objectives
• Approach
— Biomimicry
-Autonomous Closed-Loop Flow Control (ACFC)
• Results
• Conclusions
24
Biomimicry
Hanke et al., “Harbor seal vibrissa morphology suppresses vortex-induced vibrations”, The Journal of Experimental Biology 213, 2665-2672 © 2010
25
Bq$4Ip*"ip
Biomimicry - Seal Blade
NASA Aeronautics Research Institute
Rolls Royce VSPT
Seal Blade
Noise reduction
through wake
control
Cpt
0.623
'
0 000
Cpt
SINE_2_R_1 (40 degs.)
m 0.628
0 00 0
Fuel burn
reduction due to
elimination of
separation
Total pressure loss coefficient
Biomimicry - Performance Improvements
NASA Aeronautics Research Institute
Incidence tolerance over
wide range leads to fuel
burn reduction
50% improvement in
pressure recovery leads to
fuel burn reduction
0.25
-40 -30 -20 -10 0 10
Incidence angle
VSPT Seal 1 Seal 2 Seal 3 Seal 4
Loss Coefficient at +5°
27
Biomimicry - Seal Blade at 0° Incidence
NASA Aeronautics Research Institute
Separation
Shifts loading in
span-wise
direction to
prevent
separation.
VSPT Blade - no
modifications
28
NASA
'Autonomous Closed-Loop Flow Control
- ACFC
NASA Aeronautics Research Institute
29
ACFC - BL Suction
> 1 0% span
near hub has
improved
loading.
Weight
Reduction
eronautics Research Institute
tagnation press IPLOT3DJ
40 degrees
agnation press. (PL0T3D]
40 degrees Suction
No suction
horseshoe
With suction
ACFC - Fluidic Devices
NASA Aeronautics Research Institute
• Showed that for FI, repeatable consistent control is
possible
• If port 2 is closed, port 1 controls jet exit such that
flow always exits at 2 unless port 1 is closed
• If ports are both open, both control ports can be
used to switch flow
Control port 1 y Control port 2
Exit 1
Exit 2
\
Exit indicator
ACFC - Trailing Edge Pulsing
Testing in progress
SW-2 cascade
Numerical
for Flow Control. Gokoglu, Suleyman ; Kuczmarski, Maria ;
Culley, Dennis ; Raghu, Surya, 2011
Helmholtz sweeping fluidic device
New idea - testing in progress
Frequency independent of pressure ratio across
device
Advanced Fluidics Inc. device with rapid
switching. Inventor- Surya Raghu.
Frequency varies with pressure ratio and
geometry
32
32
ACFC - Concept Diagram
33
Combination of Biofoils and ACFC for
Higher Loading
• A slot upstream of the Leading edge at the hub for suction
• Plenum to remove incoming signals
• Fluidic network to direct traffic and manage frequency content
• Biofoils to manage separation and incidence tolerance as well as regulate passage
vortex and reduce noise
• Trailing edge slots with spanwise pulsing (adjacent slots pulse out of phase)
Institute
NASA Aeronautics
34
Outline
NASA Aeronautics Research Institute
• Motivation
• Background
• Objectives
• Approach
— Biomimicry
— Autonomous Flow Control
• Results
• Conclusions
35
a
Conclusions
| NASA Aeronautics Research Institute
• Feasibility of Biomimetic geometry shown for Fuel burn
reduction
• Feasibility of Autonomous Closed-Loop Flow Control concept
shown (waiting on TE pulsing results)
• Major benefit of this system is that no external power or
electronics is required
• The system self-adjusts to changing flow conditions.
• At least 3% Fuel burn reduction and 2db noise reduction are
possible
• More can be achieved by applying to fan, compressor,
airframe
36
m
Patents Pending
• Holistic system concept
- Endwall flow control
- Wake noise reduction
- Fluidic network concept
• Seal-type aerodynamic surface design
- Electric cables, helicopter rotors, tail, turbine engine components
- Parameters for optimization
• Helmholtz Fluidic switcher
• Porous owl-type aerodynamic surface
- Mimicking of owl wing using virtual airfoil - LE and porous flow
- Low noise fan using synthetic owl feathers
- Compliant wall for subsonic and supersonic flow control
• Novel flow visualization technique using water
control
37
Broader Applications
• Fan blades - wakes, geometry
- Owl type blades, porous blades
• Compressors - apply similar strategy for stall control
• Turbines
- Porous trailing and LE. Possible to make a breathing airfoil to eliminate
combustor tone?
• Combustor
- Use fluidic to eliminate tone at source
• Sensors and probes
• Real-time flow measurement and visualization
• Landing gear, struts
• Electrical cables
• External flow - Landing Gear, Struts, Road Signs
Institute
38
Path to Infusion
SI
• Raise to TRL 3 in Phase 2
- Include effect of rotation
- Apply biomimetics to fan and compressor blades
- Pulsed blowing for fan noise reduction
- Fabricate and test complete fluidic network on benchtop
- Test fluidic network within RR VSPT blade in SW-2
- CW-22 testing at matched Re and Mach
- Optimization of geometry using COMSOL/MATLAB/Solidworks
- Extend Seedless Velocimetry measurement methods
- Testing of biomaterials in SW-2, water table
• Elements are of interest to
- Fixed Wing - propulsion efficiency, acoustics
- Aerosciences - Flow Control, Novel measurement techniques
Institute
39
i
n
L
lASi
' J
Flow Visualization for Phase 2
NASA Aeronautics Research Institute
a
• Water table set up in SE-1 facility
• Instrumentation installed - XBOX Kinect, IR camera, scales for
depth measurement
• Further upgrades in progress
Inlet
Cascade
40
Dye Injection - Visible
[ NASA Aeronautics
Institute
IR camera view
Horseshoe
location
41
Infrared Flow Vis.
NASA Aeronautics Research Institute
Real-time Quantitative Flow Vis.
NASA Aeronautics Research Institute
Cascade
XBOX Kinect and projection system
43
Phase 2 Collaboration - External
NASA Aeronautics Research Institute
• Microsoft
• Harp technology
• Advanced Fluidics
• Georgia Tech
• Cleveland State University
• Marine Mammal Center, San Diego
• Cleveland Zoo
• GLBio
44
Building a Biomimicry Discipline
BIOMIMICRY 3.8
Corporate Biomimicry Sponsors
Sherwin
Williams,
ROSS
Parker
Biomimicry Operationalizes Sustainability
Acknowledgements
NASA Aeronautics
li&fehUsllI
Institute
• Trong Bui, Albion Bowers, Jennifer Cole (NASA
DFRC)
• Ali Ahmadi (Cal Poly, Pomona)
• Jim Heidmann, Gwynn Severt, Jerry Welch,
Michael Hathaway, Dennis Huff, D.R. Reddy,
Mark Celestina, Milind Bakhle (NASA GRC),
GVIZteam, Ed Envia, Brian Fite, Dan Sutliff,
Danielle Koch, Chris Miller, Colin Creager
(SLOPE team)
• Krish Ahuja (Georgia Tech)
46
NASA Aeronautics Research Institute
Seal Blade Flow Visualization
NASA Aeronautics Research Institute
VSPT - 0 incidence |R Setup Seal Blade - 0 incidence
48
Pressure Pressure
r
N
ASA
L
pr
/
ACFC Suction Results
NASA Aeronautics Rese.
(1- Stagnation press. [PLOT3D]‘)/[.293)
.0.800
0.000
(l-'Stagnation press. [PLOT3D]'>/(.293)
. 0.800
0.000
0 . 9 _
0 8_
0 6_
0 . 9 _
3 7
0 6_
With
Suction
Without
Suction
49
ACFC Prototype Demo
NASA Aeronautics Research Institute
50
Fluidic Tests
NASA Aeronautics Research Institute
51
Engine/Aircraft Sizing Primer
NASA Aeronautics Research Institute
• Engines can impact an aircraft’s fuel burn through 2 means
» Improved Efficiency (i.e., reduced SFC)
» Reduced Engine (Pod) Weight
• Efficiency improvements typically have greater impact on large,
long range aircraft
» 1 % SFC improvement = -1 .67% block fuel reduction (300 PAX)
» 1 % SFC improvement = -1 .33% block fuel reduction (RJ)
» 1 % SFC improvement = -1 .20% block fuel reduction (LCTR2)
(25% larger impact on Large Twin vs. Regional Jet, 40% larger vs. LCTR2)
• Engine weight reduction can also provide important fuel burn
savings as aircraft size increases
» 5% engine wt reduction = -1% block fuel reduction (300 PAX)
» 5% engine wt reduction = -0.6% block fuel reduction (RJ)
» 5% engine wt reduction = -0.5% block fuel reduction (LCTR2)
(57% larger impact on Large Twin vs. Regional Jet, twice [2x] vs. LCTR2)
• Turbofan engines on larger aircraft typically have higher bypass ratios which reduces weight
fraction of turbine blade/vanes, effect even more pronounced for turboshaft engines
NASA
/ Weight Breakdown on LCTR2 Advanced Engine
jpr “standard” 2-stage power turbine (PT)
NASA Aeronautics Research Institute
All turbines
(~1/4 of eng wt.)
Power Turbine
1 6% of eng
wt.
/ Weight Breakdown on LCTR2 Advanced Engine
4-stage Variable-Speed Power Turbine (VSPT)
NASA Aeronautics Research Institute
In turboshaft engines, Turbines are major weight components
All turbines
(-40% of eng
wt.)
Power Turbine
-31% of eng
wt.
Fuel Burn Sensitivities
NASA Aeronautics Research Institute
-25
0 -10 -20 -30
% Engine Weight Reduction
» This was previous work for a 300 PAX aircraft
» Benefits might be slightly lower for N2A (767 class) aircraft
Fuel Burn Sensitivities
NASA Aeronautics Research Institute
% Fuel Burn
Reduction
» This is for the LCTR2 baseline vehicle
» Shorter mission range reduces benefits seen from 300pax
Notional vehicle characteristics
NASA Aeronautics Research Institute
EIS = 2025 (2018
tech)
TOGW =89k Ibm
Payload = 90 pass.
Engine = 4x5,200
HP
Fuel = 9,500 Ibm
Range > 1,000nmi
Cruise > 300 knots
Cruise altitude
28k-ft
Cruise L/D * 12
Rotor tip speed
650 fps hover
Drawing / dimensions are from previous iteration, but are representative 350 fps cruise
NASA
LCTR “Design” Mission Profile (similar to Regional aircraft)
NASA Aeronautics Research Institute
Climb to cruise
altitude @ MCP
Cruise @ best range
velocity to mission range
3 min. idle,
Takeoff + 2 min.
hover (OGE)
> lOOOnm @ > 300 knots
(about 3 hours)
Convert to “airplane"
mode. Reduce rotors
to cruise rpm
+ 100 nm for
diversion
Descend at best range
velocity (no range credit)
+ 30 min. @
5,000 ft,
ISA+20° C
1 min. hover
OGE + landing
Mission is Climb/Cruise dominated =80% fuel
Modeled in NDARC — NASA Design and Analysis of Rotorcraft
Johnson, W„ “NDARC, NASA Design
and Analysis of Rotorcraft,” NASA TP
2009-215402, December 2009