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Copyright © 2015 by Optimal Structures, LLC STRUCTURAL COMPONENT DESIGN OPTIMIZATION FOR ADDITIVE MANUFACTURE Robert Taylor Yobani Martinez Tim McCloskey 2015 Americas Altair Technology Conference May 6, 2015

Structural Component Design Optimization for Additive Manufacture

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Page 1: Structural Component Design Optimization for Additive Manufacture

Copyright © 2015 by Optimal Structures, LLC

STRUCTURAL COMPONENT DESIGN

OPTIMIZATION FOR ADDITIVE

MANUFACTURE

Robert Taylor

Yobani Martinez

Tim McCloskey

2015 Americas Altair Technology Conference

May 6, 2015

Page 2: Structural Component Design Optimization for Additive Manufacture

Introduction

• Objective: Use Solid Thinking Inspire to develop

structural design concepts to leverage additive

manufacturing capabilities

• DFAM Discussion

• Case studies

• Hinge

• Upright

• UAV

• Observations

Page 3: Structural Component Design Optimization for Additive Manufacture

Design for Additive Manufacture

• AM enables

• Low volume (lot size of one)

• Easy design change integration (prototyping, customization)

• Piece part reductions (component combination)

• Complexity

• Geometric shape

• Hierarchical—shape complexity across multiple size scales

• Material—pointwise, layerwise

• Functional—assemblies, mechanisms

• Product performance improvement (design to match physics)

• Multi-functionality (structural and thermal and fluid and…)

Page 4: Structural Component Design Optimization for Additive Manufacture

Design for Additive Manufacture

• Increased geometric shape complexity can improve

structural performance (design to match physics)

• Capability to fabricate layer unrelated to layer shape

• Machining, molding operations limited by tool accessibility, mold

separation requirements

• Extreme complexity possible—mesostructures

• Lattice structures

• Load efficiency interaction

• Bending vs. Torsion

• Focus of current study

Page 5: Structural Component Design Optimization for Additive Manufacture

Aircraft Door Hinge Study

• Compare optimized configuration for conventional and additive manufacturing

• Requirements • Loads

• Bending

• Side loadtorsion

• Constraints • Displacement

• Stress

• Stability

• Topology Optimization • Package Space (design, nondesign)

• Objective: maximize stiffness

• Constraint: volume fraction • Conventional Manufacture (draw direction) vs Additive

Manufacture (no draw direction)

Page 6: Structural Component Design Optimization for Additive Manufacture

Aircraft Door Hinge Study

40% Volume Fraction 30% Volume Fraction

With draw direction—conventional manufacturing

Without hole

With hole

Page 7: Structural Component Design Optimization for Additive Manufacture

Aircraft Door Hinge Study

40% Volume Fraction 30% Volume Fraction

Without draw direction—additive manufacturing

Page 8: Structural Component Design Optimization for Additive Manufacture

Aircraft Door Hinge Study

Surface Definition using Evolve • MeshNURBS to remove data noise

• Complex surfaces—lofts, blends

Page 9: Structural Component Design Optimization for Additive Manufacture

New CAD Part

Conventional Manufacturing Process

• With draw direction constraint

• Total mass 6.8 lbs

Aircraft Door Hinge Study

Page 10: Structural Component Design Optimization for Additive Manufacture

Additive Manufacturing Process

• Without draw direction constraint

• Total mass 4.6 lbs (-33%)

Aircraft Door Hinge Study

Page 11: Structural Component Design Optimization for Additive Manufacture

Formula Race Car Upright Study

• Compare optimized configuration for conventional and additive manufacturing

• Requirements • Loads

• Hard turn

• x-bending

• y-torsion

• Braking

• Z-bending

• Constraints

• Displacement

• Stress

• Stability

Weight 2.68 lbs

Space 12 x 3 x 5.5 in.

Aluminum 6061

Page 12: Structural Component Design Optimization for Additive Manufacture

Formula Race Car Upright Study

• Compare optimized

configuration for

conventional and additive

manufacturing

• Topology Optimization

• Package Space (Design,

Nondesign)

• Objective: maximize stiffness

• Constraint: volume fraction

• Conventional Manufacture (draw

direction) vs Additive

Manufacture (no draw direction)

Page 13: Structural Component Design Optimization for Additive Manufacture

With draw direction—conventional manufacturing

Formula Race Car Upright Study

Volume Fraction 25% Volume Fraction 35% Volume Fraction 45%

Page 14: Structural Component Design Optimization for Additive Manufacture

Formula Race Car Upright Study

Without draw direction—additive manufacturing

Volume Fraction 25% Volume Fraction 30%

Page 15: Structural Component Design Optimization for Additive Manufacture

Min Value .9’’ Min Value .5’’ Min Value .7’’ Min Value .3’’

Formula Race Car Upright Study

Without draw direction—additive manufacturing

• 30 % volume fraction

• Max is double the min

Page 16: Structural Component Design Optimization for Additive Manufacture

Automotive Upright Optimization

for Additive Manufacture

Draw

constraint

No draw

constraint Draw

constraint

Formula Race Car Upright Study

No draw

constraint

Ongoing Work

• CAD update

• Size, shape

optimization

Page 17: Structural Component Design Optimization for Additive Manufacture

UAV Design Study

• Rapidly develop fuselage internal

structural configuration concept for

FDM-printed aircraft

• Thin wall structure

• Determine internal stiffening configuration

• 5 load conditions—bending about 2 axes

Wing

bending

Wing

torsion

Pitch Down

Vector

Pitch Up

Vector

Nose

landing

Page 18: Structural Component Design Optimization for Additive Manufacture

UAV Design Study

• Ongoing work

• Configuration

• Topology interpretation for thin wall structure not always intuitive

• No buckling effects considered

• Sizing

• Strength

• Stiffness

• Stability

Page 19: Structural Component Design Optimization for Additive Manufacture

Observations

• Inspire greatly accelerates topology optimization process

for supported modeling capabilities

• Excellent start, not final design

• Additive manufacturing enables complexity

• Geometric shape can closely match physics (load efficiency

interaction)—weight reduction

• Topology-optimized configuration requires CAD expertise—Evolve

can help

• Increases complexity of downstream shape and sizing optimization

needed to satisfy strength, stiffness, and stability criteria