The Future for Advanced Structural Materials and Computational ...

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The Future for Advanced Structural. Materials and Computational Design. Frank Doerner,. Vice President – Materials, Processes & Structures Technologies.
The Future for Advanced Structural Materials and Computational Design Frank Doerner, Vice President – Materials, Processes & Structures Technologies Boeing Research & Technology

05 October 2011

Discussion Topics • Background • Complexity driving costs and development cycle time • Computational methods applications • Increased computational methods for materials & structures • Need holistic system

Key Drivers for Aerospace Structures • Affordability – Technology development costs – Design and non-recurring costs – Operations costs • Reduce weight - Lower fuel burn • Maintenance - Repair

– Environmental – carbon footprint to build, operate and dispose

• Performance – Safety – Payload & range

• Speed to market – Leverage new technology

Aerospace Complexity

LU 2 in NDI

Complexity Driving Longer Development Cycles 767

Launch Order – 1978 Delivered – 1982 777

Launch Order – 1990 Delivered – 1995 787

Launch Order – 2004 Delivered – 2011

Complexity Drives Analysis Demands for Airframe Structure 70 M&P 60

Weights

50

Stress

Non-recurring Analysis 40 Hours / lb of30 Airframe 20 10 0

Time

Complexity Drives Increased Building Block Testing to Provides Data for Structural Analysis ~ size of structural test programs

1980s

Tier 3

Fullscale tests

Tier 2

Structural elements tests

Design-value development

Allowable development

Tier 1

2

2

2

15

25

2,500

500

10,000

5,000

100,000

Analysis validation

Component tests

Sub-component tests

2000s

Material specification development Material property

evaluation Material screening and selection

Major growth in cost & time

Performance (weight reduction)

Expanding Design Space is Rapidly Increasing Complexity

Today

Isotropic “One Choice”

100’s of Choices

Traditional Structural Methods & Tools Can’t Keep Up with Expanding Design Space “Billions” of Choices

Material Combinations, Fiber Orientations, Manufacturing Techniques, . . .

Going Forward

Computational Methods Widely Used in Other Engineering Disciplines

Computational Effect on Product Design Cycle 90% Drawing Release

2000

1993 1997

Effort

Elapsed Time

1990

Certify and Qualify New Materials & Structures Faster Traditional Test Supported by Analysis Approach

A

Time to Insertion Readiness

Goal is to Provide a Modeling, Simulations and Analysis Approach Supported by Experience, Test and Demonstration

A A

Time to Insertion Readiness Reduced by 55%

Atoms to Aircraft – Applying Computational Methods Down the Structural Value Chain Materials & structures designed, analyzed, and qualified in digital form, with requirements driven by system & life-cycle requirements • Reduced time and cost • Increased design space • Increased performance

Sub-Component Designs

Vehicle Full Scale

Component Designs

Virtual Testing & Sim

Element Design Computational Design Values

Material Configurations Constituent Design

Computational Allowables Material Models

Molecular Modeling • Material Development • Process Development

Failure Modeling

• Producibility • Accept/Reject • NDT Standards

• • • •

Mechanical Props Knock-downs Environmental Effects of Defects

• Design Values • DaDT • Analysis Validation

• Structural Performance • Damage Tolerance • Static & Fatigue • Analysis Validation

• Static • GVT • Fatigue • Flight

Atoms to Aircraft

Vehicle Full Scale Sub-Component Designs

Component Designs Virtual Testing & Sim

Element Design Computational Design Values Material Configurations Constituent Design

Computational Allowables Material Models

Molecular Modeling • Material Development • Process Development

Failure Modeling

• • • •

Producibility Accept/Reject Assembly NDT Standards

• • • •

Mechanical Props Knock-downs Environmental Effects of Defects

• Design Values • DaDT • Analysis Validation

• Structural Performance • Damage Tolerance • Static & Fatigue • Analysis Validation

• Static • GVT • Fatigue • Flight

Molecular Modeling & Predictive Laminate Performance

0.21

0.18

Simulation

Experimental

Stress, GPa

0.15

0.12

0.09

0.06

0.03

0 0

0.02

0.04

0.06

0.08

0.1

0.12

Strain, in/in

0.14

0.16

0.18

0.2

0.22

Structural Materials also Need Multi-Functional Performance

Structural

Electrical

Thermal

Acoustic

Manufacturing Processing Effects

• Producibility limits • Inspection Standards • Quality & Effects of Defects • Process Tolerances • Manufacturing Scale-up • Assembly Tolerances

Linking Modeling & Simulation of Other Effects • Assembly Tolerances Buildups – GD&T • Quality & Effects of Defects

• Producibility • Inspection Standards • Quality & Effects of Defects • Process Tolerances

Full Scale Sub-Component Designs

• Electromagnetic effects • Effects of Lightning Strikes Material Configurations

• Material Development • Process Development

• Producibility • Accept/Reject • NDT Standards

Virtual Testing & Sim

Computational Design Values Failure Modeling

Computational Allowables Material Models

Molecular Modeling

Component Designs

Element Design

Constituent Design

Vehicle

• • • •

Mechanical Props Knock-downs Environmental Effects of Defects

• Design Values • DaDT • Analysis Validation

• Structural Performance • Damage Tolerance • Static & Fatigue • Analysis Validation

• Flammability Performance

• Static • GVT • Fatigue • Flight

Summary • Complexity drives increased costs and longer development • Computational methods must be extended to routinely handle complex application design spaces • Material properties must be linked to structural simulations seamlessly

• Modeling and simulation activities should be linked into a more holistic system

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