Linear Methods Results for AePW-2

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Linear Methods Results for AePW-2 02/Jan/2016 Guilherme Begnini & Cleber Spode

Transcript of Linear Methods Results for AePW-2

Page 1: Linear Methods Results for AePW-2

Linear Methods Results for AePW-2

02/Jan/2016

Guilherme Begnini

&

Cleber Spode

Page 2: Linear Methods Results for AePW-2

This information is the property of Embraer and must not be used or copied without written authorization.

Case 2

Page 3: Linear Methods Results for AePW-2

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Case 2 – Linear Methods

• AIC-based: NASTRAN & ZTRAN

• NASTRAN with Generalized Aerodynamic Forces from CFD (AERO – Euler_Linearized)

• Time-Domain CFD (AERO – Euler_Linearized)

• Nonlinear Analysis (for comparison):

• Time-Domain CFD

today: AERO – Euler

tomorrow: AERO - RANS

Page 4: Linear Methods Results for AePW-2

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Case 2 – AIC-Based Methods

• Solvers: Nastran (DLM) – corrected and uncorrected

ZTRAN (TDLM)

• Flutter Prediction: Nastran (PKNL method)

ZTRAN (g-method)

• Set of Reduced Frequencies: 0.03, 0.04, 0.05, 0.06, 0.07

• Panels Aspect Ratio = 2 (No. Chordwise Panels = No. Spanwise Panels)

• Surface Mesh: 40x40 panels

• No Structural Damping considered

Page 5: Linear Methods Results for AePW-2

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Case 2 – Aerodynamic Meshes

Surface Mesh:

ZTRAN = NASTRAN

Volume Mesh:

ZTRAN only

Airfoil Mesh:

ZTRAN only

Page 6: Linear Methods Results for AePW-2

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Case 2 – Nastran Aerodynamic Correction

Steady Correction - correction for k=0 used for k≠0

• CLa & Cmy correction (CLa&Cmy)

- matches wing global CLa and Cmy

• Pre-Multiplying Diagonal Matrix (Pre-Diag)

- try to match chordwise dΔCp/da, spanwise Cla and Xac distributions, and global coefficients (factors limited to 3.0)

Unsteady Correction – different corrections for each k

(uses Pre-Multiplying Diagonal Matrix correction)

• Pitch Mode Adjust (Unsteady - Pitch)

Page 7: Linear Methods Results for AePW-2

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Case 2 – Steady CFD Data for Aerodynamic Correction

• Steady CFD data obtained from CFD++ (medium mesh)

• dΔCp/da distribution computed for a pair of angles of attack: (-0.25 & 0.25 deg.)

• Reference values for global CLa and CMa (30% mac) obtained from the slope of the following curves

0.1000.110

0.1200.1300.140

0.1500.1600.170

0.1800.1900.200

0.2100.2200.230

0.2400.250

-0.50 -0.30 -0.10 0.10 0.30 0.50

Alpha

CL

-0.09

-0.085

-0.08

-0.075

-0.07

-0.50 -0.30 -0.10 0.10 0.30 0.50

Alpha (deg)

CM

y

CLa = 5.075 [1/rad]CMa (30% mac)= 0.351 [1/rad]

12

12

CpCp

d

Cpd

Page 8: Linear Methods Results for AePW-2

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Case 2 – dΔCp/da Distribution at k=0

• Strip 60%

Page 9: Linear Methods Results for AePW-2

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Case 2 – dΔCp/da Distribution at k=0

• Strip 95%

Page 10: Linear Methods Results for AePW-2

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Case 2 – Spanwise CLa Distribution at k=0

0

1

2

3

4

5

6

7

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9

Span (m)

CL

a

CFD

DLM

DLM_Pre_Diag

ZTRAN

Page 11: Linear Methods Results for AePW-2

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Case 2 – Spanwise Xac Distribution at k=0

CLa

CMaXac

10

12

14

16

18

20

22

24

26

28

30

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9

Span (m)

XC

A (

%) CFD

DLM

DLM_Pre_Diag

ZTRAN

Page 12: Linear Methods Results for AePW-2

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Case 2 – Aerodynamic Coefficients Verification

Method CLaDifference

CLaCmy (30% mac) Difference Cmy

CFD++ (medium) 5.075 Ref. 0.3508 Ref.

Nastran4.450 -12.3% 0.3499 -0.3%

Nastran - Unsteady-Pitch

Nastran - Cla&Cmy 5.075 0.0% 0.3508 0.0%

Nastran - Pre-Diag 5.070 -0.1% 0.3932 12.1%

ZTRAN 4.183 -17.6% 0.3596 2.5%

Page 13: Linear Methods Results for AePW-2

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Case 2 – dΔCp/da Distribution at k=0.03

• Strip 60%

Page 14: Linear Methods Results for AePW-2

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Case 2 – dΔCp/da Distribution at k=0.03

• Strip 95%

Page 15: Linear Methods Results for AePW-2

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Case 2 – Generalized Aerodynamic Forces

• Real Part

Page 16: Linear Methods Results for AePW-2

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Case 2 – Generalized Aerodynamic Forces

• Imag Part

Page 17: Linear Methods Results for AePW-2

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Case 2 – Flutter Results: V-g-f Plots

2.0

2.5

3.0

3.5

4.0

4.5

5.0

5.5

6.0

0 50 100 150 200 250

q (psf)

Fre

qu

en

cy (

Hz)

DLM

DLM

DLM - Cla&Cmy

DLM - Cla&Cmy

DLM - Pre-Diag

DLM - Pre-Diag

DLM - Unsteady-Pitch

DLM - Unsteady-Pitch

ZTRAN

ZTRAN

AERO - QHH

AERO - QHH

-0.10

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0 50 100 150 200 250

q (psf)

Aero

dyn

am

ic D

am

pin

g

DLM

DLM

DLM - Cla&Cmy

DLM - Cla&Cmy

DLM - Pre-Diag

DLM - Pre-Diag

DLM - Unsteady-Pitch

DLM - Unsteady-Pitch

ZTRAN

ZTRAN

Experiment

AERO - QHH

AERO - QHH

Page 18: Linear Methods Results for AePW-2

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Case 2 – Flutter Results

Method

Flutter

Frequency

(Hz)

Difference

(Freq)

Flutter

Dynamic

Pressure

(psf)

Difference

(Dyn. Pres.)

Experiment 4.30 Ref. 168.8 Ref.

Nastran 4.28 -0.5% 165.0 -2.2%

Nastran - Cla&Cmy 4.28 -0.5% 144.8 -14.2%

Nastran - Pre-Diag 4.37 1.7% 131.5 -22.1%

Nastran - Unsteady-Pitch 4.13 -4.0% 159.1 -5.8%

ZTRAN 4.31 0.2% 160.7 -4.8%

AERO – Euler_Linearized Qhh 4.14 -3.8% 175.1 3.7%

AERO – Euler_Linearized Time Domain 4.11 -4.4% 179.2 6.2%

AERO – Euler Nonlinear Time Domain 4.09 -4.9% 176.8 4.7%

Page 19: Linear Methods Results for AePW-2

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Case 2 – Effect of DLM Mesh Refinement

& Structural Damping

• Analysis Default: Mesh = 40 x 40, g=0

150

152

154

156

158

160

162

164

166

168

170

10x10 20x20 30x30 40x40 50x50

Mesh Refinement

Qf

(psf) DLM (g=0)

DLM (g=0.2%)

Experiment

Page 20: Linear Methods Results for AePW-2

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Flutter Results – Additional Cases

Ref: Heeg, J. et al., Plans and Example Results for the 2nd AIAA Aeroelastic Prediction Workshop,

SciTech 2015.

80

100

120

140

160

180

200

0.4 0.5 0.6 0.7 0.8 0.9

Mach

Flu

tter

Dyn

am

ic P

ressu

re (

psf)

Experimental - AoA: -0.3-0

DLM

Experimental - AoA = 1.3

Experimental - AoA: 5.3-5.5

• Mesh = 50 x 50, g=0.2%

• Most results within 5% error (except those for AoA ~ 5)

Page 21: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

Euler linearized around Static Aeroelastic position for each Q

Page 22: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

Euler around Static Aeroelastic position for each Q

Page 23: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

CPU time consumed

(wall time)

Euler = 8200 s

Euler Linearized = 700 s

168 CPUs

1,867,297 Tetra elements

432,456 nodes

Embraer mesh.

Perturbed in pitch mode velocity

Page 24: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

Euler flutter Q = 176.8 psf

Euler Linearized flutter Q = 179.2 psf

Page 25: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

Euler flutter Q = 176.8 psf

Euler Linearized flutter Q = 179.2 psf

Page 26: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

Euler flutter Q = 176.8 psf

Euler Linearized flutter Q = 179.2 psf

Page 27: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

Euler flutter Q = 176.8 psf

Euler Linearized flutter Q = 179.2 psf

Page 28: Linear Methods Results for AePW-2

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Flutter Results – Time Domain Simulations

Euler flutter Q = 176.8 psf

Euler Linearized flutter Q = 179.2 psf