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PMMS Center R. Byron Pipes John L. Bray Distinguished Professor of Engineering School of Materials Engineering, Purdue University [email protected] 1 NASA Technology Road Map: Materials and Structures

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Page 1: bpipes@purdue - Home | National Academiessites.nationalacademies.org/cs/groups/depssite/... · Model Loads Joints Laminate Geometry Lamina 1 Lamina 2 Lamina n Fiber Failure Matrix

PMMS Center

R. Byron PipesJohn L. Bray Distinguished Professor of Engineering

School of Materials Engineering, Purdue University

[email protected]

1

NASA Technology

Road Map: Materials

and Structures

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R. Byron Pipes, NAE

Purdue: John L. Bray Distinguished Professor of

Engineering; Director of Defense Programs

U. Akron: Goodyear Professor of Polymer Engineering

NASA Langley: Visiting Distinguished Scientist

Rensselaer: President

University of Delaware: Director of the NSF ERC Center

for Composite Manufacturing Science and Engineering;

Provost, Dean of Engineering

General Dynamics FW: Senior Structures Engineer

2

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Aerospace Ages

• Age of Flight

• Jet Age

• Space Age

• Information Age

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After 40 years of progress in composites

research

• Commercial aircraft are a reality

• Defense aerospace composites are

pervasive

• The world-wide failure analysis proved to no

comprehensive failure model has been

developed to date

• Yet we design successfully

• We do so with significantly conservative

approaches based on experimental tests

4

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Carbon laminate

Carbon sandwich

Other composites

Aluminum

Titanium

Composites

50%

Aluminum

20%

Titanium

15%

Steel

10%

Other

5%

787 Program and Technology Integration

Boeing 787 Composite Structure

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Hexcel IM7-8552 Prepreg Microstructure, Vf=0.57

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What has Changed in 40 years?

• Computational power has increased by a factor

of 10,000,000,000 since 1970, the year of the

first flight of composite structure – F-111

horizontal stabilizer

• Certification of composite materials and

structures is dominated by experiments aided by

analysis

• Once certified, materials changes are

economically impossible

• We have the computational power to change the

paradigm

7

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PMMS overall goals

8

Computational materials design aided by experiments

Computational materials certification aided by experiments

Stephen Christensen

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Force

FieldAtom 1

Atom 2 Confor

mation

Consta

nts

Pressure

Molecular

Structure

EnergyEnviron

ment

Molecular Model

Deform

Molecular Modeling for Polymer Matrix Structure

10-9 10-7 10-6

Scale, m

Polymer

Behavior

10-10

Atom n

10-3

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Lamina

1

Fiber

Matrix

Lamina

2

Lamina

n

Joints

Laminate

GeometryEnviron

ment

Structural Model

Loads

Homogenization in Modeling Composite Structure

10-3 10-1 100

Scale, m

Structural

Deformations

10-6 101

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Environment

Structural

Model

Loads

Joints

Laminate

Geometry

Lamina

1

Lamina

2

Lamina

n

Fiber

Failure

Matrix

Failure

Dehomogenization in Modeling Failure

10-610-310-1101

Scale, m

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PMMS Center Approach

Nanometrology

Characterization

Molecular Dynamics

Finite

Elements

s 13

Phase field

micromechanics

Vision: predictive, validated

models can help design and

certify new materials

12

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Boeing-Purdue Atoms to Aircraft

13

Homogenized

strain fields

Onset

criteriaPropagationMicromechanics

enhancement

Loca

l st

rain

fie

lds

AFM Non-linear

viscoelastic model

Physics-based – no

fitting parameters

Molecular modeling

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Local variations in fiber volume fraction explains experimental

variations in fracture angle

Uncertainty quantification in model validation

14

PD

F

MME vf =60%

MME vf =60±10%

Fiber volume fraction distribution

% vf

PD

F

[10-5]

MME vf=60±10%

Maximum value of J’2 in the sample

(deg.)

PD

F

MME vf =60%

MME vf=60±10%

Experiments

t

Angular location of maximum J’2

MME vf =60%

vf =60±10%

Variability in local strains key to

experimental validation and

certification

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Quantification of margins and uncertainties

15

Onset

criteriaMicromechanics

enhancement

Homogenized

strain fields

QMU key for validation and certification

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Materials Modeling and simulation vision

16

A computational/experimental approach to:

Simulation driven materials and structures certification

Demonstrate a significant reduction in the number of

experiments needed for certification via simulations with

rigorous uncertainty quantification and validation

Simulation driven materials and structures design

Enhance the predictive capabilities of our modeling effort

driven by two goals:

i)Improve accuracy certification models (narrower margins),

ii)Design of new materials and structures with improved

performance

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What are the benefits?

• Significant reduction in the cost of materials

development

• Rapid certification of new materials innovations

• Significant reduction in the cost of new materials

certification

• Insertion of new materials innovations in existing

aerospace structures once barred by certification

costs

• $100 million shift in certification costs

• More platforms certified to meet specific needs

17

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Pervasive composites knowledge and learning

• Anisotropy and heterogeneity are the norm

• Robust prediction capability

• Manufacturing science simulation

• Active models and data in archival publications

• Virtual laboratories: “Connect, click and control”

• Internet based learning

• Composites communities of learning

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NASA Perspectives

NASA serves two masters: Space and Aeronautics

The technology issues are not the same for both:

Space missions require unique solutions and

missions involve “special environments.”

Aeronautics is pervasive: 28,600 new aircraft will be

needed in the next 20 years at $2.84 billion.

Human safety is a central issue for both.

The economics and technology drivers are different, but:

The engineering technology is common to both.

The materials systems and structural configurations

are drawn from the same industrial base.

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Criteria

Would the technology provide game-changing,

transformational capabilities in the timeframe of

the study?

What other enhancements to existing capabilities

could result from development of this

technology?

20

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Total Program

21

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Inter-related fields

Materials: Cross-cutting:

Lightweight structures NDE and sensors

Computational design materials Model-based certification

Flexible material systems Loads and environments

Environment

Special materials

Structures: Manufacturing

Lightweight concepts Manfg. processes

Design and certification Intelligent integrated Mfg.

Reliability and sustainment and cyber physical syst.

Test tools and methods Electronics and Optics

Innovative multifunctional concepts Sustainable Mfg.

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Micro Design Models

Develop first-of-kind life prediction methods for thin metallic materials and

PMC damage progression models. Lightweight Composite Overwrapped

Pressure Vessel with thin metallic liners.

Understanding PMC microcracking, fiber failure and their influence on

damage progression. Needed to design composites that retard permeability.

Human and Science Exploration.

TRL 3-4; No fracture mechanics methods for life assessment of thin metallic

liners. Little understanding of PMC microcracking and progression in

extremely constrained configurations. Microcracking currently a constraint on

composite tanks. Thin liner model by 2013 and robust modeling by 2015.

Microcracking damage progression model by 2015

23

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Modeling and Simulation Advancements

PHYSICS BASED LAMINA MODELS

Lamina materials models. Design of complex multifunctional or hybrid composites.

All Missions

TRL 3-5; Design practices are ad-hoc and rely on extensive testing of specific

configurations. Develop analyses of critical interfaces by 2015

MOLECULAR DESIGN MODELS

Design and produce PMC resin with predicted enhanced constitutive properties.

Proof of concept for computational design of structural PMCs. All Missions

TRL 2-3; Predictive capabilities for PMC properties in early stage. Capabilities

maturing 2020 to 2025.

ATOMISTIC DESIGN MODELS

Design and produce simply alloy with predicted enhanced constitutive properties.

Proof of concept for computational design of structural alloy. All Missions

TRL 2-3; Predictive capabilities for alloy properties are in very early stage.

Capabilities maturing 2020 to 2025

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Design and Certification Methods

Virtual Digital Certification

Systematic validation and verification (V&V) of models of pristine and

degraded structure at all scales in the building block development

pyramid with Test Tools and Methods (2.2.4d). Reduction of costly

physical testing, improved confidence for combined environments

that cannot be simulated in test. All Missions

TRL 2; Ongoing efforts to incorporate realistic physics to improve

reliability and ease of structural analysis techniques at NASA and

elsewhere. Test validation of large scale response and damage

progression predictions. Development of relevant criteria for

certification.

25

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Model-Based Certification and Sustainment

PHYSICS BASED DESIGN MODELS

Physics-based multiscale modeling that are validated (coupled) with macro /

micromechanical scale test measurements and NDE.

Significant weight savings for primary structure and lower building-block test

costs. All Missions

TRL2-4, Linear models are standard practice, nonlinear response models

used in special cases, a variety of failure models (both empirical and

theoretical) exist but no comprehensive multi-scale architecture exists.

Varies with application (e.g., predictive design allowables, shell collapse

predictions.

26

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Manufacturing Processes

Smart Materials Production

Development/creation of new manufacturing methods.

Adaptability of structures, health monitoring and self-healing.

TRL 3 Limited NASA activity, generally led by industry and academia

Significant long-term effort for realization of production ready

processes

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Sponsors

MARCO focus center on

Materials Structures and

Devices

DoE-BES

DoE-NNSA ASC

Network for Computational

Nanotechnology