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Optimization Framework for Design of Morphing Wings Jian Yang, Raj Nangia & Jonathan Cooper Department of Aerospace Engineering, University of Bristol, UK & John Simpson Fraunhofer IBP, Germany AIAA Aviation 2014 Atlanta 16-20 July 2014

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Page 1: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Optimization Framework for Design of Morphing Wings

Jian Yang, Raj Nangia & Jonathan Cooper

Department of Aerospace Engineering, University of Bristol, UK

&

John Simpson Fraunhofer IBP, Germany

AIAA Aviation 2014 Atlanta 16-20 July 2014

Page 2: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Traditional Aircraft Design • Single point for the

design • Minimum weight • Maximum CL/CD • Suboptimal elsewhere

Page 3: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Aircraft Morphing Morphing, when applied to aerospace vehicles, is a technology or set of technologies applied to a vehicle that allow its characteristics to be changed to achieve better performance or to allow the vehicle to complete tasks it could not otherwise do.

Jason Bowman, AFRL/VSSV

3

Page 4: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Configuration Morphing • Change in planform

– Aircraft control

– Aircraft performance

• Change in mission

– High aspect-ratio glide

– Attack mode

4

MFX 1, Span & Sweep

Page 5: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Configuration Morphing

5

Baseline

(Joshi et al., 2004, AIAA)

Page 6: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Performance Morphing

• Change in structural properties

– Stiffness

– Camber

– Leading / trailing edge shape

• Aircraft control

• Aircraft performance

– Lift / drag

– Roll control

– Loads

6 NASA, Active Aeroelastic Wing (AAW)

NASA, Active Flexible Wing (AFW)

Page 7: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Variable Stiffness Morphing

• Range of different adaptive stiffness methodologies to be explored

• Vary EIx, EIy, GJ, flexural axis using changes in internal structure

• Changes to spar orientation, rib position, spar cap position – used in several previous EU projects

– 3AS, SMorph, NOVEMOR

7 7

Page 8: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Aims • Develop an inverse design approach

- optimise internal wing stiffness distribution - morphing capability.

• Meet optimal aerodynamic shape throughout the

flight envelope • Define the required changes in stiffness / elastic axis • Minimize the amount of morphing • Minimize the weight • Satisfy any other constraints – to be defined

progressively

Page 9: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Inverse Design Approach

9

• Define required aerodynamic distributions

• Define required wing shapes – Twist / camber / bending

• Optimise weight to determine stiffness distributions

• Evaluate required stiffness changes

• Determine morphing concept(s) to achieve stiffness changes

Page 10: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

0 0.5 1 0

2

4

6

8

10

0

0.5

1

y

x/cchor

dwis

e lo

adin

g Wing Aerodynamic shape

Via Lifting Surface VL or DL (lattice) (Lamar) mean camber for minimum drag

wing

Aspect ratio (AR) 12

Taper ratio 0.5

Sweep angle 10 degrees

Semi-span 20 meters

• Planform dimensions

0 0.2 0.4 0.6 0.8 1

0

0.05

0.1

x/c

z/c

Mean camber lines

0 5 10 15 20

0

5

x

y

vortex panels

Camber lines required to achieve M0.74 loading

Page 11: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Aerodynamic shape design

- Lifting Surface, Mach Effect

0 0.25 0.4 0.6 0.74 10

0.5

1

1.5

2

Mach number

Required C

L

CL vs Mach

• ΔCp distributions

0

0.5

1 0 0.2 0.4 0.6 0.8 1

0

0.5

1

1.5

2

2.5

3

y/sx/c

C

p M=0.74

00.5

1 0

0.5

10

1

2

3

y/sx/c

C

p M=0.6

00.5

1 0

0.5

1

0

1

2

3

y/s

x/c

C

p

M=0.4

Design for 4 different test cases – thin lifting surface

Page 12: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Aerodynamic shape – Super-Critical (twist & Camber)

- Panel & Euler (AR=12, Ma=0.74)

0 5 10 15 20

0

5

x

y

vortex panels Non-D

Page 13: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

0

0.5

1 0 0.2 0.4 0.6 0.8 1

0

0.5

1

1.5

2

2.5

3

y/sx/c

Cp

Euler

Panel

Lifting

Surface x/s

Aerodynamic shape Different approaches, 0.5 CL

01

23 0

5

10

-2

-1

0

1

y

M0.74, pressure distribution

x

Cp

Page 14: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Structural model

Cross section

𝑡𝐿

𝑡𝑅

𝑏𝑐

𝑑

𝑡𝐻

Page 15: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Weight Optimisation Minimize weight

• Consider deflection/stress constraints & minimum gauge of

design variables.

• Use optimality criteria method

Page 16: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Application: Aero design

16

camber ∆Cp Cp√x

Mach 0.74

Mach 0.6

Mach 0.4

Mach 0.25

Page 17: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

∆Cp (using M0.74 camber)

17

∆Cp

Cp√x

Mach 0.6 Mach 0.4 Mach 0.25

Page 18: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Spanwise loadings - effect of M

18

Xcp

Enlarged

Non-D by CL

CLL c/cav

0.74M camber. Evaluated at different test cases

Page 19: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Local AoA required to achieve reference loading of M0.74

with M0.74 camber

19

Page 20: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

∆Cp Distributions

before --- & after adding twist ---

20

Mach 0.25

-30%

Mach 0.6 Mach 0.4

∆Cp√x

∆Cp

Note -30%

Page 21: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Structural Optimisation, 0.74M solution process

21

0 50

2

4

6

8

10

12

14

16

18

20

x

y

(b) (a)

1 2 3 4 5 6 7 8 9 103000

3500

4000

4500

5000

Iteration number

weig

ht

(kg)

Convergence

Initial design

Flex. axis varies as function of tR / tL

Weight Convergence - fast

Page 22: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Predicted Jig shapes & Twist, different M

22

Mach 0.6

Mach 0.25

Mach 0.74

Mach 0.4

Using M0.74 camber Achieving M0.74 pressure dist using wingbox twist only

Page 23: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Morphing required (Twist only example from half span)

23

GJ Elastic twist ∆GJ

Page 24: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Morphing required (Twist & camber morphing example)

24

GJ Elastic twist ∆GJ

Page 25: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Morphing required (Twist & camber morphing example)

25

GJ Elastic twist ∆GJ

GJ Elastic twist ∆GJ

Twist & camber

Twist

Note Strong Reduction

Page 26: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Camber morphing case • TE Morph: to achieve desired spanwise loading and reduce

RBM

26

0 5 10 15 20

0

2

4

6

x

y

LE area

TE area

Wingbox area

Page 27: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

LE morphing effects

• LE Morph: to reduce leading edge suction and flow separation

27

Page 28: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

LE morphing

28

Page 29: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Mean camber shape

• Variations from M 0.74 to M 0.25 case

29

Page 30: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Conclusions • Multiple point design useful for enhancing aircraft

efficiency

• Adaptive wing / morphing concepts reviewed

• An inverse design approach to optimise the internal stiffness distribution & morphing capabilities

• Application to a regional aircraft wing

• Weight reductions achieved via structural optimisation

• Required morphing examined to meet the multi-design points

• Need a lot of twist morphing to achieve required shape over flight envelope

• Use of camber morphing reduces the amount of required twist

30 30

Page 31: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Ongoing Work

• Continue with aerodynamic shape determination – Configuration / flight conditions (Panel, Euler)

– Winglet

– Controls

• Implement inverse approach on coupled-beam model, using more advanced Aero – Panel & Euler, Bodies

• Determine required stiffness variations in terms of morphing approaches

• Investigate reasonable morphing requirements

31 31

Page 32: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

0

1

2

30

510

-0.2

-0.1

0

0.1

0.2

yx

z

PANAIR Results

• M0.25, varying twist

0

1

2

3 0

5

10

-3

-2

-1

0

1

yx

Cp

Page 33: Optimization Framework for Design of Morphing Wings › docs › results › 270 › 270640 › final1-maws-… · Optimization Framework for Design of Morphing Wings Jian Yang, Raj

Euler results

33

Design M 0.74 Off-design, Mach 0.6