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3D Aerodynamic Icing Simulation 1 National Aeronautics and Space Administration www.nasa.gov Swept-Wing Ice Accretion Characterization and Aerodynamics Research Plans and Current Status Andy P. Broeren NASA Glenn Research Center 2011 Annual Technical Meeting May 1012, 2011 St. Louis, MO https://ntrs.nasa.gov/search.jsp?R=20150009998 2020-06-01T22:06:44+00:00Z

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Page 1: Swept-Wing Ice Accretion Characterization and Aerodynamics › archive › nasa › casi.ntrs.nasa... · • The Swept-Wing Ice Accretion Characterization and Aerodynamics research

3D Aerodynamic Icing Simulation

1

National Aeronautics and Space Administration

www.nasa.gov

Swept-Wing Ice Accretion

Characterization and Aerodynamics

Research Plans and Current Status

Andy P. Broeren

NASA Glenn Research Center

2011 Annual Technical Meeting

May 10–12, 2011

St. Louis, MO

https://ntrs.nasa.gov/search.jsp?R=20150009998 2020-06-01T22:06:44+00:00Z

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3D Aerodynamic Icing Simulation

2

Swept-Wing Ice Accretion

Characterization and Aerodynamics

Research Plans and Current Status

Andy Broeren

NASA Glenn Research Center

NASA Aviation Safety Program Annual Technical Meeting

St. Louis, Missouri May 10-12, 2011

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3D Aerodynamic Icing Simulation

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Outline

• Introduction

• Background– NASA/ONERA/Illinois Icing Aerodynamics Simulation

Program

– Swept-wing icing research

• Current Situation and Motivation

• Research Plans– Objectives and Approach

– Research Roadmap

– Schedule

– Proposed Research Funding

• Current Status

• Summary

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Introduction

Airframe Icing Technical Challenge

Goal for Airframe Icing Simulation and Engineering Tool

Capability (FY25):• Achieve acceptance of computational and experimental simulation

tools for design and certification of swept-wing configurations over an

expanded range of icing conditions.

Swept-wing ice-accretion characterization and aerodynamics • Experimental ice accretion simulation

– Develop test and model design methods for icing tunnels.

• Computational ice accretion simulation – Provide database of swept-wing ice accretion.

• Experimental aerodynamic simulation – Determine level of geometric fidelity required for accurate aerodynamics.

• Computational aerodynamic simulation– Provide database of iced-swept-wing aerodynamics.

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3D Aerodynamic Icing Simulation

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Introduction

• The AEST goal for “achieving acceptance” of simulation tools for icing

design and certification is based upon past experience with current

simulation tools.

• Past research has focused on airfoil and straight-wing icing and

aerodynamics.

• This large body of work has led to icing simulation tools such as

NASA’s LEWICE code and the Icing Research Tunnel that have a

defined and accepted performance capability.

• Iced-aerodynamics research has led to an understanding of ice-

accretion geometry fidelity and scaling requirements for airfoils.

• The fundamental differences in swept-wing ice accretion geometry

and flowfield require further investigation.

• The Swept-Wing Ice Accretion Characterization and Aerodynamics

research effort is a first step in extending the capabilities of

computational and experimental simulation tools for ice accretion and

aerodynamics to swept-wing geometries including the freezing drizzle

and freezing rain environment.

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Background

• A major part of this research effort is

modeled after a successful

international collaboration initiated

under the first Aviation Safety Program.

• The NASA/ONERA/Illinois Icing

Aerodynamics Simulation Program

investigated aerodynamic effects and

ice accretion simulation for 2D airfoils.

– Ice shapes were classified

according to their effect on the

flowfield.

– A benchmark database of aerodynamic

effects was measured for high-fidelity

ice castings on a full-scale model at

near-flight Reynolds number.

– Methods were developed for designing

lower-fidelity ice shapes for a subscale

model at lower Reynolds number.

x/cy/

c-0.02 0.00 0.02 0.04 0.06 0.08

-0.04

-0.02

0.00

0.02

0.04

0.06

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Background

• NASA/ONERA/Illinois Icing Aerodynamics

Simulation Program Accomplishments:– Provided guidance as to the level of

geometric fidelity required for accurate

iced-airfoil aerodynamic behavior.

– The accuracy to which the full-scale iced-

airfoil aerodynamics (lift and drag) can be

simulated on a subscale model at low-

Reynolds number was quantified.

– Subscale model iced-airfoil aerodynamic

simulation methods validated to a known

degree of uncertainty.

• This work has led to a more complete

understanding of ice contamination

aerodynamic effects on airfoils.

• This is an important building block, but a

fundamental question remains as to how

relevant 2D data are to 3D swept-wing

geometries. (deg)

-6 -4 -2 0 2 4 6 8 10 12 14 16 18 20-0.8

-0.6

-0.4

-0.2

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

-0.08

-0.06

-0.04

-0.02

0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

0.16

0.18

0.20

Cm

Cl

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Some Swept-Wing Aerodynamics Testing

• Bragg et al. (c 1990) low AR straight and swept wing with simulated ice,

– Pressure, balance, flow viz, LDV data, low Re in Illinois tunnel

• NASA Langley/Lewis Iced Scaled Jet Transport Program (c 1996)

– 1/8-scale twin jet at low Re

– Balance, pressures, flow viz

• Papadakis et al. Swept Wing Icing Research (c 2003)

– GLC 305: IRT icing and WSU aero testing at low Re

– Balance pressures, flow viz, many simulated ice shapes

• NASA TIP in Ames 40 by 80 and WSU tunnel

• NASA Business jet icing scaling testing (c 2005)

– Full-scale, 1/12-scale, and 5/12-scale semispan wing

– Langley Full-Scale and Illinois tunnel, Re= 0.15 to 4.2x106

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Summary of Swept-Wing Icing

• There are no experimental aero-performance and flowfield

data on the effect of ice on swept-wing aerodynamics at

high-Reynolds number in the public domain.

• There are no full-scale, high-Reynolds number research

quality ice accretion data on complex 3D geometries in the

public domain.

• There are some good low-Reynolds number aerodynamic

data by Papadakis, Ratvasky, Lee, Bragg, and others.

• We have a basic understanding of swept-wing ice

accretion from IRT experiments, but mostly at small scale.

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Current Situation & Motivation

• Simulation tools such as NASA LEWICE 3D and

other icing codes are being developed for swept-

wing ice accretions but the validation data are

limited, particularly for large-scale wing

geometries.

• An understanding of icing effects on swept-wing

aerodynamics is critical to evaluating the

accuracy to which ice accretions must be

predicted by computational tools or simulated in

aerodynamic testing.

• An understanding of scale effects including

Reynolds and Mach number is needed to

develop/validate lower cost aerodynamic test

techniques for iced swept wings.

• Aerodynamic data are needed for validation of

computational flow simulation (CFD) codes for

iced-wing configurations.

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Research Plan

Overall Goal• Improve the fidelity of experimental and computational

simulation methods for swept-wing ice accretion formation and

resulting aerodynamic effect.

Objectives• Generate a database of 3D ice-accretion geometry for icing-

code development and validation and for aerodynamic testing.

• Develop a systematic understanding of the aerodynamic effect

of icing on swept-wings including: Reynolds and Mach number

effects, important flowfield physics and fundamental differences

from 2D.

• Determine the level of geometric fidelity required for accurate

aerodynamic simulation of swept-wing icing effects.

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Research Plan

Research Approach Overview

• Design and select wing geometric parameters including

airfoil section to establish a baseline swept-wing model.

• Classify ice accretion on swept wings based upon

governing flowfield physics.

• Conduct icing-tunnel testing over a range of conditions to

develop a database of swept-wing ice accretions.

• Adapt commercial 3D laser scanning and other methods

to measure highly 3D ice accretion.

• Conduct high-Reynolds number aerodynamic testing– Develop artificial ice shapes from icing-tunnel testing.

– Varying the geometric fidelity of the artificial ice shapes.

– Measure aerodynamic effects over a large range of Reynolds and

Mach number.

– Document important flowfield features where possible.

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Research Plan

Research Approach Overview

• Develop low-cost, low-Reynolds number test capability– Validate against the high-Reynolds number data.

– Investigate ice-shape parametric effects such as size, location,

surface roughness, etc.

– Identify critical cases.

• Conduct a second high-Reynolds number aerodynamic

using critical configurations.

• Update the ice classifications based upon these results.

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Research Plan

Research Products

• Database of swept-wing ice accretion.

• Database of high-Reynolds number aerodynamic data for

swept-wing ice accretion.

• An understanding of the geometric fidelity required for

accurate aerodynamic simulation of swept-wing ice

accretion.

• A validated low-cost, low-Reynolds number test capability

for evaluation of performance characteristics and

aerodynamics of iced-swept-wing geometries.

• Improved methods for quantifying ice accretion geometry

and developing high-fidelity artificial ice shapes.

• Improved computational and experimental simulation tools

for swept wings.

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Research Roadmap

Program organized into six phases:

• Phase I: Ice-Shape Classification

• Phase II: Ice-Accretion and Aerodynamic Measurement

Methods Development

• Phase III: Ice-Accretion Testing

• Phase IV: High-Reynolds Number Aerodynamic Testing

• Phase V: Low-Reynolds Number Aerodynamic Testing

• Phase VI: High-Reynolds Number Validation Testing

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Research Roadmap

• Phase I: Ice-Shape Classification– Develop simulation requirements.

– Classify ice shapes according to unique iced-wing flowfield features.

• Phase II: Ice-Accretion and Aerodynamic Measurement

Methods Development– Design and select a baseline swept-wing geometry (airfoil, sweep

angle, taper ratio, aspect ratio, span, high-lift devices, control surfaces,

etc.) representative of modern transport wing.

– Adapt and validate commercial 3D laser scanning methods for

measuring ice accretion geometry.

– Define fabrication methods for ice-shape simulations using 3D laser

scan data.

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Research Roadmap

• Phase III: Ice-Accretion Testing– Design models and experiments for ice accretion testing. Evaluate

icing simulation capability for full-scale swept wing sections in the

NASA IRT.

– Design and build NASA IRT models.

– Design NASA IRT test matrix.

– Conduct ice-accretion testing in NASA IRT

• Phase IV: High-Reynolds Number Aerodynamic Testing– Design and build high-Reynolds number aerodynamic model for

ONERA F1 tunnel.

– Select ice accretions to be simulated based upon classifications

developed in Phase I.

– Design and build artificial ice shapes with varying geometric fidelity.

– Conduct aerodynamic testing.

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Research Roadmap

• Phase V: Low-Reynolds Number Aerodynamic Testing– Design and build low-Reynolds number aerodynamic model.

– Design and build artificial ice shapes based on high-Re test.

– Conduct low-Reynolds number test campaign to baseline model and

ice-shape aerodynamic effects.

– Quantify differences in aerodynamic coefficients between low- and

high-Reynolds number testing.

– Conduct ice-shape sensitivity test to explore range of ice shape

aero effects and identify critical configurations.

• Phase VI: High-Reynolds Number Validation Testing– Conduct a second high-Reynolds number ONERA F1 test

campaign.

– Confirm aerodynamic penalties associated with most sensitive ice

shape parameters derived from low-Reynolds number testing.

– Update ice-shape classifications and quantify aerodynamic

uncertainty associated with varying levels of geometric fidelity,

including Re and M effects.

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Swept-Wing Icing Research Roadmap

DEVELOP

SIM

RQMTSA

How

good is

good

enough?

DEVELOP

TESTING

TECH

CLASSIFY

ICE

SHAPES

IDENTIFY

BASELINE

MODEL

3D laser

scanning

Artificial ice

shape

fabrication

ICE

AC

CR

ET

ION

DO

CU

ME

NT

AT

ION

CA

PA

BIL

ITY

Airfoil

Sweep, taper,

twist

Control surfaces,

flaps, slats, etc.

IDENTIFY

LOW-RE

AERO

TUNNEL

DEVELOP

ICING

TEST

RQMTS

Model(s)

Test conditions,

scaled?

Hybrid

model?

ICE

AC

CR

ET

ION

DA

TA

BA

SE

DEVELOP

ICE

SHAPES

CONDUCT

ICING

TESTING

CONDUCT

HIGH-RE

AERO

TESTS

Span, MAC

SIM

RQMTS

MET?

SW

EP

T-W

ING

CIN

G A

ER

O S

IMU

LA

TIO

N C

AP

AB

ILIT

Y

DECLARE

CAPABILITY

Y

N

DEVELOP

ICE

SHAPES

CONDUCT

LOW-RE

AERO

TESTS

SIM

RQMTS

MET?

SEN-

SITIVITY

TESTING

Y

N

MOST

CRIT.?

Y

N

Phase I

Phase II

Phase II

Phase III Phase IV

Phase V

Phase VI

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Schedule

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Phase I

Phase II

Phase III

Phase IV

Phase V

Phase VI

FY2012 FY2013 FY2014 FY2015 FY2016

• Phase I: Ice-Shape Classification

• Phase II: Ice-Accretion and Aerodynamic Measurement

Methods Development

• Phase III: Ice-Accretion Testing

• Phase IV: High-Reynolds Number Aerodynamic Testing

• Phase V: Low-Reynolds Number Aerodynamic Testing

• Phase VI: High-Reynolds Number Validation Testing

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Proposed Research Funding

Total Estimated Project Cost = $7.0M (USD)• Major budget drivers:

– People

– Wind-tunnel models and artificial ice shapes

– Total wind tunnel occupancy time (assume NASA IRT, ONERA

F1 and 7x10 size low-Re tunnel)

– Other costs include travel and equipment such as 3D laser

scanner

Estimated Budget Allocations• NASA = $2.8M

• FAA = $2.1M

• ONERA = $2.1M

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Current Status

Collaboration• NASA and FAA have mutual commitment to carrying out this research.

• FAA currently funding University of Illinois to support this research.

• Proposed work presented to ONERA colleagues, currently awaiting their

response.

• Proposed work presented to industry colleagues for comment and in-

kind support.

• Supporting NRA topic has been written, awaiting release of solicitation.

Phase I: Ice-Shape Classification• Initial literature review and draft classifications have been developed.

• Expect initial document release for review and comment by end of

FY2011.

Phase II: Ice Accretion and Aerodynamic Measurement Methods• Currently evaluating commercial 3D scanning technology for use in

NASA IRT.

• More details in the following presentation by Sam Lee.

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Summary

• A significant effort within the Airframe Icing Technical

Challenge of the AEST project is dedicated to improving

computational and experimental simulation methods for

swept-wing icing.

• Multiple ice accretion and aerodynamic experiments are

planned to develop the experimental simulation capability

and provide validation databases for the development of

computational simulation capabilities.

• This is a collaborative effort among NASA, FAA, ONERA,

Univ. of Illinois and industry partners.