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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. 


Integrated 
Systems 
esearch Program 


onduct research at an integrated 
system-level on promising concepts and 
technologies and explore/assess/demonstrate 
the benefits in a relevant environment 






Airspace Systems Program 

Directly address the fundamental ATM 
research needs for NextGen by 
developing revolutionary concepts, 
capabilities, and technologies that 
will enable significant increases 
in the capacity, efficiency and 
flexibility of the NAS. 



Aviation Safety Program 

Conduct cutting-edge research that will produce 
innovative concepts, tools, and technologies to improve 
the intrinsic safety attributes of current and future aircraft. 





Aeronautics Test Program 


Preserve and promote the testing capabilities of 
one of the United States’ largest, most versatile and 
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. 


High Speed (HS) 

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