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MECHANICS OF
MULTIFUNCTIONALMATERIALS & MICROSYSTEMS
B. L. (Les) LeeProgram Manager
AFOSR/NAAir Force Research Laboratory
AFOSR
18 March 2011
Distribution A: Approved for Public Release. Distribution is unlimited. 88ABW-2011-0793
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NAME: B. L. LeeBRIEF DESCRIPTION OF PORTFOLIO:Basic research forintegrationofadvanced materialsandmicro-systemsinto future Air Force systems requiringmulti-functionality
LIST OF SUB-AREAS:Life Prediction (Materials & Devices);Sensing & Diagnosis;Micro-, Nano- & Multi-scale Mechanics;Multifunctional Design (Shape Change);Multifunctional Design (Property Tuning);Self-Healing & Remediation;Self-Cooling & Thermal Management;Self-Sustaining Systems & Energy Management;Precognition & Neutralization of Threats;Engineered Nanomaterials
2011 AFOSR SPRING REVIEW2302B PORTFOLIO OVERVIEW
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Multifunctional Design
The objective of multifunctionality is improvement in system performance Use system metric(s) to identify functions to combine and quantify gains.
General Rules:
Add functionality to material with most complex function-physics.
Target unifunctional materials/components operating in the mid-to-lowerfunctional performance regimes for multifunctional replacement.
Implement multifunctionality in the conceptual stage of system design.
Performance of multifunctional material/component may not be as good as itsunifunctional counterpart; irrelevant as long as system performance improves.
Strong/weak coupling between the multiple function-physics may or may notexist and/or be important.
Multifunctional potential depends on sub-system interfacing capabilities andfunction compatibility.
RESEARCH ISSUESGuest Lecture by Dr. J. Thomas - 2008 AFOSR M^4 Program Review
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RF-on-Flex
Conformal Load Bearing Arrays
SENSOR PLATFORMSSource: AFRL/RB
Integrate antennafunction into the
structureAntenna structure isload bearing
LO enabling
Reduced maintenance
vulnerability
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization
Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES
Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization
Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scale
Model
Micro- & Nano-Devices
Manufacturing Sci
Neural Network &Information Sci
11
FUNCTIONS OF INTEREST
Active Regulation
Reactive Materials
Mesoporous Networks
Adaptive Fluids/Solids
Self-Regulating
FunctionSelf-Generating
Function
BIO-INSPIRED SYSTEMS:BEYOND CURRENT VISION
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
ReconfigurableSystems
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
Energy fromAerospace
Environ
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PROGRAM INTERACTION
AFOSRStructural MechanicsStructural MaterialsOrganic Chemistry
Biosciences
MicroelectronicsOTHERS
AFRL/RVSpace System
AFRL/RYUAV Antennas
AFRL/RWMicrosystems
AFRL/RXComposites (2)Multiscale Anal
AFOSR MURI 05
Self-Healing
AFOSR MURI 06
Energy Harvesting
EXTRAMURALUNIVERSITIES
INDUSTRY
MECHANICS OFMULTIFUNCTIONAL
MATERIALS &MICROSYSTEMS
AFRL/RBEnergy Mgt
Fund Flow
ArmyNavy
DARPA
GameChanger 07Antenna Integration
Discovery CT 09Reconfigurable
AFOSR MURI 09
Sensing Network
Directors Call 09Energy from Environ
NSFESF
NASA
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NAME: B. L. LeeBRIEF DESCRIPTION OF PORTFOLIO:Basic research forintegrationofadvanced materialsandmicro-systemsinto future Air Force systems requiringmulti-functionality
LIST OF SUB-AREAS:Life Prediction (Materials & Devices);Sensing & Diagnosis;Micro-, Nano- & Multi-scale Mechanics;Multifunctional Design (Shape Change);Multifunctional Design (Property Tuning);
Self-Healing & Remediation;Self-Cooling & Thermal Management;Self-Sustaining Systems & Energy Management;Precognition & Neutralization of Threats;Engineered Nanomaterials
2011 AFOSR SPRING REVIEW2302B PORTFOLIO OVERVIEW
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NAME: B. L. LeeBRIEF DESCRIPTION OF PORTFOLIO:Basic research for integration of advanced materials and micro-systems into future Air Force systems requiring multi-functionality
LIST OF SUB-AREAS:Life Prediction (Materials & Devices);Sensing & Diagnosis;Micro-, Nano- & Multi-scale Mechanics;Multifunctional Design (Shape Change);Multifunctional Design (Property Tuning);
Self-Healing & Remediation;Self-Cooling & Thermal Management;Self-Sustaining Systems & Energy Management;Precognition & Neutralization of Threats;Engineered Nanomaterials
PROGRAM TRENDS
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SCIENTIFIC CHALLENGES &PROGRAM ACHIEVEMENT
Self-healable or in-situ remendable structural materials(1st-everprogram; world lead)
Microvascular composites for continuous self-healingand self-cooling systems (1st-everprogram; world lead)
Structural integration of energy harvest/storagecapabilities (1st-everprogram on structurally integrated multipleenergy harvest capabilities; DoD lead)
Neurological system-inspired sensing/diagnosis/
actuation network (potlworld lead) Mechanized material systems and micro-devices for
reconfigurable structures (DoD lead)
Experimental nano-mechanics (DoD lead)
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Transformational Opportunities
Self-healable or in-situ remendable structural materials Quantum improvement in survivability of aerospace structures*
Microvascular composites for continuous self-healingand self-cooling systems * & Ultimate thermal management
Structural integration of energy harvest/storagecapabilities Self-sustaining UAV and hybrid-powered aircraft
Neurological system-inspired sensing/diagnosis/actuation network Autonomic state awareness in aerospace
Mechanized material systems and micro-devices forreconfigurable structures Morphing wing aircraft
Experimental nano-mechanics Experimental verification ofmulti-scale analysis
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Other Organizations That FundRelated Work
Self-healable or in-situ remendable structural materials ARO (co-funding on thermal remediation; coord with MURI onself-healing chemistry); NSF; industry
Microvascular composites for continuous self-healing
and self-cooling systems NSF (manufacturing process) Structural integration of energy harvest/storage
capabilities AFOSR/ARO/AFRL/ARL/NRL (DoD Task Force)
Neurological system-inspired sensing/diagnosis/
actuation network NSF/ESF (joint workshop, initiative coord) Mechanized material systems and micro-devices for
reconfigurable structures AFRL/RX,RB,RW (joint lab task)
Experimental nano-mechanics ARO (high-rate); Sandia
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PROGRAM COLLABORATION
THE 1ST
MULTIFUNCTIONALMATERIALS FOR DEFENSE
WORKSHOP
Theme 10: Power and Energy
In conjunction with:The 2010 Annual Grantees/Contractors Meeting for
AFOSR Program on
Mechanics of Multifunctional Materials & Microsystems(M^4)
13-14 May 2010Hyatt Regency Reston, Reston, VA
Workshop Co-Chairs:James Thomas (NRL)
Eric Wetzel (ARL/WMRD)William Baron (AFRL/RBSA)
Organizing Committee:B.-L. (Les) Lee (AFOSR), Co-Chair
Bruce LaMattina (ARO), Co-ChairWilliam Baron (AFRL/RBSA)Gregory Reich (AFRL/RBSA)
William Nothwang (ARL/SEDD)Daniel OBrien (ARL/WMRD)
Eric Wetzel (ARL/WMRD)James Thomas (NRL)
Agent for 8 Projects; Concluded
BAA 06-028:
FY07 ARO MURI Topic #24Self-healing Polymer Composites through
Mechanochemical TransductionGrant PI: Jeff Moore (UIUC)
PM: David Stepp (ARO)
Co-PM: Douglas Kiserow (ARO)
WORKSHOP:2006/01/05, Chapel Hill, NC
KICK-OFF:2007/10/03, Aberdeen, MD
BioSensing and BioActuationProposed Research Opportunities/Challenges
1. Hierarchical Organization of Biological SystemsUncover the unifying aspects underlying hierarchical bio-structures and bio-systems and usethem for sensing and actuation; apply to new multi-scale and multi-functional sensor/actuatorconcepts.
2. Sensor Informatics Guided by LifeCreate new knowledge that will be exploited in novel bio-inspired data mining and dynamiccontrol, including capabilities to monitor, assess, and control living and engineered systems in
sensor-rich environments.3. Multifunctional Materials and Devices for Distributed
Actuation and SensingUnderstand biological systems and mechanisms that lead to their ability to exhibit fault-tolerant
actuation with a wide dynamic range, the production of practical means for producing artificialstructures that exhibit similar behaviors, and their incorporation into useful engineered systems.
4. Forward Engineering & Design of Biological/BiomedicalComponents & SystemsSynthesize hybrid synthetic-living systems through systems-level integration of biological andengineered components that sense, actuate, compute, regenerate and efficiently allocateresources in order to achieve desired responses and functions.
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
ReconfigurableSystems
Energy fromAerospace
Environ
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
PIs & Co-PIs:
Scott White(UIUC)Jeffrey Moore(UIUC)Nancy Sottos(UIUC)Sia Nemat-Nasser(UC San Diego)Markus Buehler(MIT)Scott White(UIUC)*Jeffrey Moore(UIUC)*
Nancy Sottos(UIUC)*Jennifer Lewis(UIUC)*Philippe Geubelle(UIUC)*Kenneth Christensen(UIUC)*Jonathan Freund(UIUC)*Chris Mangun(CU Aero)Tom Darlington(Nanocomposix)
Tony Starr(SensorMetrix)Tom Hahn(UCLA)
^ YIP; * MURI
THREE APPROACHES
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THREE APPROACHESFOR SELF-HEALING
MICRO & NANOCAPSULES
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SEM of 20wt% functionalized capsules in Epoxy (EPON 828/DETA)
10 um
Shell wall
1 m
100 nm
Microtome Epoxy
(3-glycidoxypropyl)trimethoxysilane(GLYMO) to limit aggregation andimprove dispersion
SiO2
PUF
Core09: MICRO & NANOCAPSULESFOR SELF-HEALING (UIUC: Sottos)
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All fibers coated by dip-coat method All concentrations determined by TGA
15 m
Successfully deposited capsules onto bothglass and graphite fibers using a solution dipcoating procedure
Capsule Deposit On Fibers
MICROVASCULAR COMPOSITES
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Objective:
DoD Benefit:
Technical Approach:
Budget:
$K
Major Reviews/Meetings:
FY05 FY06 FY07 FY08 FY09 FY10
504,311 1,242,709 1,047,076 1,115,244 1,057,424 500,920
To achieve synthetic reproduction of autonomicfunctions, such as self-healing and self-cooling,for aerospace platforms through creation andintegration of complex materials systemscontaining microvasculararchitectures.
(a) Natural models of microvascular systemsare studied to guide the engineering design ofoptimal networks for self-healing and self-cooling structural composites. (b) Thesenetworks are fabricated using direct-writeassembly techniques while integrating materialcomponents that realize the desired multi-
functionality. (c) A full compliment ofexperimental and analytical techniques areemployed to demonstrate system efficiency.
The advances in self-healing and self-coolingcomposite structures will lead to the increaseof reliability and responsiveness of aerospacevehicles allowing longer flight time and
reduced chance for unexpected failure.
30 August 2006: Seattle, WA 20 August 2007: Urbana, IL21 August 2008: Arlington, VA31 August 2009: Urbana, IL
Nature01
MICROVASCULAR COMPOSITES(UIUC/Duke/UCLA: White et al)
MURI 05
PM:B. L. Lee (NA); Co-PM:Hugh Delong (NL)
Mi l H li
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Microvascular HealingPerformance Comparison
Optimal pressure profiles for dynamic pumping enable 100%
healing efficiency for repeated healing cycles
MURI 05
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Pressure Driven Flow Oscillation
Qualitative match between experimental and simulation results
Simulation of pump driven oscillation in a T-junction Experiment with pump driven oscillation in a 25 m simulated crack
Simulation
Experiments
Interface folding Packet of well mixed
fluid
MURI 05
Engineering Design Of
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Multiple Network:2 part epoxy(Toohey et al. Adv. Func. Mat. 2009)
Interpenetrating Network:2 part epoxy(Hansen et al., Adv. Mat. 2009)
Single Network:DCPD/Grubbs(Toohey et al, Nature Materials, 2007)
Engineering Design OfMicrovascular Network
MURI 05
3D Microvacular Composites Via
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3D Woven Preform Integration of Sacrificial Fibers Resin Infusion
3D Woven Composite Fiber Removal 3D Vascular Composites
3D Microvacular Composites ViaSacrificial Fibers
MURI 05
5 mm
Development of Sacrificial
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Treatment of PLA fibers by solvent-assisted catalyst diffusion
Drying
Development of SacrificialPolylactide (PLA) Fibers
When exposed to high temperature, a catalyst treated PLA fiber depolymerizes
into gaseous monomer thereby making the evacuation process very easy.
MURI 05
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Journal Covers
INTERACTIONS WITH
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University of BristolMultifunctional Materials Group
Ian BondHollow fiber delivery
EPFL Laussane
Laboratoire de technologie des composites et polymresJan-Anders Mnson, Vronique MichaudShape memory + self-healing
AFRL/RXPolymers and Composites Branches
Jeff Baur, Rich Vaia, Ajit RoySacrificial wax fibers, permeability testing, composites design
INTERACTIONS WITHOTHER RESEARCH GROUPS
Delft UniversityCentre for Materials
Sybrand van der ZwaagShaped encapsulation vesicles
MURI 05
Technology Transfer:
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Transitioning of capsule technology for self-healing composites, adhesive & coating
Key challenges are size scale and integration method
Technology Transfer:
SELF-HEALING MATERIALS
2006-2009: STTR (AF) on self-healingaerospace composites
2009: STTR (Army) on self-healing, self-diagnosing multifunctional composites
Self-healing coatings for electronics
Application development for adhesive
MURI S i ff STTR08 THERMALLY
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O
O
O
O
O
Mendomer 401
O
O
O
O
O O
Mendomer 602
Goals:
Less brittle and lower glass transitiontemperature (Tg) for better adhesionand conformal coating
MURI Spin-off>>STTR08: THERMALLYREMENDABLE COMPOSITES
19
HEAT
THERMALLY REMENDABLEPOLYMERS (UCLA: Wudl)
C O O
O
O
4
N
N
O
O
3
O+ N
O
O
O
N
O
OPolymer
N N
O
OO
O
MURI05
4th DAMAGE 4th HEALING
5th HEALING5th DAMAGE
Healing ofDelamination
StrainEnergy (mJ)
HealingEfficiency (Time)
Virgin 10.04
1st healing 8.68 86.4% (1 hr)
2nd healing 8.88 88.4% (2 hr)
3rd healing 9.82 97.8% (3 hr)
4th healing 9.42 93.8% (3 hr)
Crosslink bonds of Diels-Alder cyclo-addition
polymers are thermally reversible and can bereestablished after separation (unlike epoxy)
Fabricated CFRPs with thermally remendablematrix materials and resistive heating network ofcarbon fiber reinforcement
Demonstrated multiple rounds of healing ofdelamination and microcracks
Resistive heating is dependent on layuporientation and most uniform with surfaceelectrodes laid at 45 relative to fibers Structural properties of CFRPs are comparableto traditional epoxy based CFRPs
Core10: BIO INSPIRED STRUCTURAL
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Core10: BIO-INSPIRED STRUCTURALREMODELING (UIUC: White/Moore)
Regeneration in biology: New approach: Dynamic polymers
+ inert scaffolds
*Dynamic polymers can be reversibly changedfrom liquid to solid and vice versa due todynamic covalent bond that can be triggered to
disassociate by an activating agent.
*
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
PIs & Co-PIs:
Abraham Stroock(Cornell U)Noel Holbrook(Harvard U)Patrick Kwon(Mich St U)Vikas Prakash(Case Western)Scott White(UIUC)*Jeffrey Moore(UIUC)*Nancy Sottos(UIUC)*
Jennifer Lewis(UIUC)*Philippe Geubelle(UIUC)*Kenneth Christensen(UIUC)*Jonathan Freund(UIUC)*Ajit Roy(AFRL/RXBT)Jeff Baur(AFRL/RXBC)
* MURI
Multi-physics Optimization of
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Multi-physics Optimization ofMicrovascular Network
Multi-objective constrained genetic algorithms Generalized finite element method for fluid/solid thermal problem
2D and 3D implementation for network optimization
Initial grid Optimal network
MURI 05
Enhancing Heat Transfer with
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Heat-TransferEnhancement >Increased pressuredrop
Enhancing Heat Transfer withWavy Microchannels
Serpentine microchannel
Flow direction
2a
Secondary flows due to waviness drawhot fluid from wall into main flowstreamCrest Trough
Efficiency of serpentine (wavy) channels in enhancingconvective heat transfer studied computationally todetermine optimal waviness and flow rates.
Various a/ studied (a=amplitude;=wavelength of waviness).
Bulk heat transfer in wavy channels comparedto that of a straight microchannel of equivalenthydraulic diameter.
Efficiency, :
MURI 05
PLANT-MIMETIC HEAT PIPES
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Robust heat transfer in the presenceof large gravitational and inertial
stresses.
Plant mimetic use of liquids at large
negative pressures within a microfluidic
heat pipe.
Fundamental understanding of
thermodynamics and transport
processes in this regime. Insights into plant strategies for the
management of negative pressures and
recovery from cavitation.
Objectives:
MEMS platform
Achievements:
Plant physiology
Elucidation of structure and
biochemistry xylem elements
implicated in autonomic refilling. Physical, chemical, and molecular
biological characterization of refilling.
Figure: AFM image of bordered pit
membrane.Fabrication.
Development of wick membrane in
silicon platform with unprecedented
stability (down to -200 bars - Figure). Development of MEMS sensor for
measuring pressures down to -500
bars.
Figure: Development and testing of
inorganic wick membrane. Stability
limit of liquid water. Complete stability
to -3 MPa (-30 bars). Absolute limit:
-20 MPa (-200 bars).
Perspectives:
Foundation of technical approachesand physical and biological
understanding to enable robust
engineering with liquids at negative
pressures.
Efficient, passive heat transfer with
small form factor and weight for
avionics cooling.
0%
20%
40%
60%
80%
100%
0 10 20 30
%intact
Pressure ( -MPa)
cavitatedintact
silicon solgel
PLANT-MIMETIC HEAT PIPES(Cornell U / Harvard U: Stroock)
THERMAL MANAGEMENT OF
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ACCOMPLISHMENTS:
Developed molecular dynamics (MD) computationaltools to study the effect of CNT side wallfunctionalization with CH2 molecules on the interfacethermal conductance at the atomistic scale
Simulated two axially aligned CNTs embedded inepoxy polymer, one is being heated and thermalenergy taken out through the other.
The temperature drop between the CNT decreaseswith increasing functionalization, but the interfaceresistance does not diminish to zero even with
saturation of the functionalization
MD simulation ofCNT embedded inpolymer network
Effect of CNT polymerfunctionalization on interface
thermal resistance
b c d e
THERMAL MANAGEMENT OFINTERFACE (AFRL/RX: Roy)
BACKGROUND:
Lack of knowledge in materials design for improvingthermal conductivity of fiber reinforced composites
At least 20x improvement of through-the-thicknessthermal conductivity (to ~ 7-10 W/mK) is desired
OBJECTIVE:
To establish multiscale modeling for multifunctionaldesign integrated with processing of materials
To enhance thermal conductivity of composites byusing nano-constituents on carbon fibers to form athermal pathway network through the matrix phase
DoD BENEFITS:
Establishment of fiber reinforced composites withenhanced through-the-thickness thermal properties
for aerospace platforms Transition of the computational modeling capability
for innovative thermal interface design of composites
S O P
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
PIs & Co-PIs:
Gregory Huff(Texas A&M)Akira Todoroki(Tokyo Tech)fu-Kuo Chang(Stanford U)*Peter Peumans(Stanford U)*Boris Murmann(Stanford U)*Philip Levis(Stanford U)*Andrew Ng(Stanford U)*
Rahmat Shoureshi(U Denver)*Robert McLeod(U CO)*Greg Carman(UCLA)*Yong Chen(UCLA)*Frank Ko(U Brit Columbia)*Somnath Ghosh(Ohio St U)*^John L. Volakis(Ohio St U)Roberto Rojas(Ohio St U)^Stephen Bechtel(Ohio St U)^Dick James(U MN)^Max Shtein(U Mich)^Nick Kotov(U Mich)^Ben Dickinson(AFRL/RWGN)Greg Reich(AFRL/RBSA)Jeff Baur(AFRL/RXBC)
* MURI; ^ GameChanger
BUILT-IN SENSING NETWORK
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Stretchable Matrix
Autonomous System
Multi-Scale Design,Synthesis & Fabrication
Sensors(temperature,
pressure,strain, etc)
Local neurons(processor, memory,
communicationdevices)
BUILT-IN SENSING NETWORK(Stanford/UC/DU/UCLA: Chang et al)
MURI 09
Synaptic Circuits
Synapse:
Cognition and decision-making aredetermined by a relative level ofcumulative signal strength with respectto the synapse threshold values
Biological sensory systems
rely on large numbers ofsensors distributed overlarge areas and arespecialized to detect andprocess a large number ofstimuli. These systems arealso capable to self-organizeand are damage tolerant.
PM:B. L. Lee (NA); Co-PM:Hugh Delong (NL)
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SENSORS/ACTUATORS FOR MAV
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Flow Sensing Hairs - Principles of bio hairs
understood, but translation to engineered
system with similar performance is not
Models - Models for hair feedback control
have not been examined
Materials - Silicon or polymer hairs with
optical, piezoresistive, or capacitive
transduction shown Carbon nanotube (CNT)
gauge factor to 1000 for single-CNT devices,
~2 for traditional gauge factors, limited work
on CNT array strain sensing, even less on fiber
Artificial Hair Concept - CNT arrays on
rigid fibers have the required hair rigidity/
dimension, displacement sensitivity, material
robustness, and design flexibility to enable
integrated flow sensing to detect gust
alleviation and enable complex maneuvering
Model - Hair length vs. boundary layer
thickness can be optimized for increased
sensitivity
Materials - CNT array mechanics are highly
dependent on morphology, but vertically
aligned CNT (VACNT) sensor yields nearly
linear resistance change with strain
MAIN ACHIEVEMENTS:
Artificial Hair Model - Developed viscoelastic, nonlinear
fluid reaction hair sensor model Explored design
geometry & material for individual hair performance
Materials - Characterized morphology effect of VACNT
array mechanics Developed and characterized first
VACNT-based electromechanical flow/strain sensor
HOW IT WORKS: Model - Numerically solve hair sensor governing
equations to explore and optimize design
Materials - Compression reorients CNTs, reducing
electrical resistance Force imparted to hair converted toelectrical signal within sensor pore
ASSUMPTIONS AND LIMITATIONS: Model - Assume 1-way interaction (flow to hair) with
parallel surface, small deflections, rt circular X-section
Materials - Repeatable and uniform CNT deposition
Robust adhesion of CNTs to carbon fiber with
environmental changes
Current Impact Optimal hair lengths are 50-100% of (d99)
boundary layer thickness for steady flow
Pore sensitive to depth, not width with 1.5-
3 micron level deflections expected
Planar VACNT sensor gauge factor of 30
Planar flow sensor created on copper
substrate (difficult)
Planned Impact Test CNT sensor in wind tunnel (Eglin AFB)
Enhance sensor gauge factor
Extend to fuzzy fiber for artificial hair
Extend model to oscillatory flow
Eval. sensor impact on vehicle performance
Research Goals Model & validate artificial hair model
Understand parameter space for optimal
sensor performance
Understand and model physics of
electromechanical response of CNT array
Demonstrate flow sensing capability inside
wind tunnel
CNT-Based Artificial Hair Airflow Sensor
STATEOFTHEART
END-OF-PHASEGOAL
QU
ANTITATIVEIMPACT
NEWINSIGHTS
Nanoindentation of foam-like and beam-like VACNT arrays
Schematic of proposed CNT-coated carbon fiber sensor
Planar CNT Flow Sensor Prototype on DMA
Localized CNTBuckling
SENSORS/ACTUATORS FOR MAV(RW: Abate; RB: Reich; RX: Baur)
LOAD-BEARING ANTENNAS
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Ohio State University / College of Engineering
CHANGING COURSE FOR UAVS
Ohio State electrical and computer engineers have solved a radar and surveillanceproblem for unmanned aerial vehicles (UAVs) with the help of atypicalcollaborators: embroidery experts.
The UAVs ranging in size from more than 40 feet long to ones that could beeasily confused with hi-tech Frisbees can serve many functions, fromsurveillance to data collection. However, their relatively small size cannot
accommodate the large antennas necessary for long-distancecommunication. So the engineers are developing new technology to weavesensor and communication antenna systems into the structure of the UAVs.
This research is part of the three-year, $3.5 million GameChanger program, now inits final year and funded by the Air Force Defense Research Sciences Program.
The GameChanger philosophy involves a different perspective on aircraft design:Instead of mechanical and aerospace engineers designing a plane foraerodynamics, in this case electrical and computer engineers dictate the initialform of the plane based on its radar or surveillance function.
To weave the sensor and communication systems into the structure of the aircraft so the UAV itself becomes the antenna researchers needed lightweight,load-bearing, flexible materials that could conform to the aircrafts surface.Polymers fit the required criteria, but first researchers had to determine how to printantennas on them, as polymers are not mechanically compatible with traditionalconductors.
News in Engineering
antenna layer:microstrip patches,dipoles, bowties and etc.
feeding layer:feeding networks,impedance tuning stubs
circuits layer:filters, mixers,LNAs and etc.
LOAD BEARING ANTENNAS(OSU/U Mich/U MN/UCLA: Volakis)
LOAD-BEARING ANTENNAS
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Design next generation antennas (broadband and narrowband) that are
structurally ruggedized, reconfigurable and sufficiently miniaturized forUAV applications.
Develop a new class of materials for load-bearing/conformal/light-weightantennas (incl. ferroelectric, ferromagnetic, multi-ferroic, bondable polymercomposites, 3D textiles and nanomaterials).
Develop analytical techniques for tractable electro-magneto-thermo-mechanical theory from fully coupled 3-D equations.
Integrate new antenna designs into a lightweight structure and developfigures of merit (design rules) for structural integration.
Objectives:
Main Achievements:
Developed new technology by embroidering metal coated electronic fibers(e-fibers) on polymers for conformal load bearing antennas.
Designed and tested volumetric and planar woven antennas based on e-fibers and polymer composites
Demonstrated the feasibility of first everCNT antenna whose gain isequivalent to the perfectly conducting (but rigid) patch antennas.
Developed coupled multi-physics & multi-scale models for electro-magnetic composite materials undergoing mechanical excitation.
Developed models to tune antenna via ferroelectrics materials undermechanical and thermal loads
Developed fully overlapping Domain Decomposition Technique for FiniteElement Modeling of small features in large media
antenna layer:microstrip patches,dipoles, bowties and etc.
feeding layer:feeding networks,impedance tuning stubs
circuits layer:filters, mixers,LNAs and etc.
LOAD BEARING ANTENNAS(OSU/U Mich/U MN/UCLA: Volakis)
GameChanger07PM:B. L. Lee (NA); Co-PM:Arje Nachman (NE)
VISION EXPANDED
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
ReconfigurableSystems
PIs & Co-PIs:
Ray Baughman(U Texas Dallas)Nicolas Triantafyllidis(U Mich)John Shaw(U Mich)Shiv Joshi(NextGen)Sharon Swartz(Brown U)Nakhiah Goulbourne(VA Tech)Benjamin Shapiro(U MD)
Elisabeth Smela(U MD)Patrick Mather(Syracuse U)H. Jerry Qi(U CO)Martin Dunn(U CO)Minoru Taya(U WA)Frank Ko(U Brit Columbia)Hiroyuki Kato(Hokkaido U)Xin Zhang(Boston U)C. T. Sun(Purdue U)Thomas Siegmund(Purdue U)Aaron Dollar(Yale U)A. John Hart(U Mich)Greg Reich(AFRL/RBSA)Richard Vaia(AFRL/RXBN)
^ YIP
VISION EXPANDED
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VISION: EXPANDED
site specific
autonomic
AUTONOMICAEROSPACE
STRUCTURES Sensing & Precognition
Self-Diagnosis & Actuation
Self-Healing
Threat Neutralization Self-Cooling
Self-Powered
Biomimetics
Design for CoupledMulti-functionality
Nano-materials
Multi-scaleModel
Micro- & Nano-
Devices
Manufacturing Sci
Neural Network &Information Sci
Energy fromAerospace
Environ
PIs & Co-PIs:
Max Shtein(U Mich)+Henry Sodano(U FL)Dan Inman(VA Tech)Sven Biln(Penn St U)Michael Strano(MIT)Greg Carman(UCLA)Gleb Yushin(GA Tech)
Minoru Taya(U WA)*Paolo Feraboli(U WA)*Martin Dunn(U CO)*Ronggui Yang(U CO)*Kurt Maute(U CO)*Se-Hee Lee(U CO)*Y. Sungtaek Ju(UCLA)*Tom Hahn(UCLA)*
Dan Inman(VA Tech)*Ioannis Chasiotis(UIUC)*Carl Schulenburg(PowerMEMS)Tim Fisher(Purdue U)Benji Maruyama(AFRL/RXBN)Thuy Dang(AFRL/RXBN)Michael Durstock(AFRL/RXBN)
+ PECASE; ^ YIP; * MURI
INTEGRD ENERGY HARVESTING
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Objective:
To develop self-powered load-bearingstructures with integrated energy harvest/storage capabilities, and to establish new multi-functional design rules for structuralintegration of energy conversion means.
DoD Benefit:Self-powered load-bearing structures withintegrated energy harvest/storage capabilitieswill provide meaningful mass savings andreduced external power requirements over awide range of defense platforms includingspace vehicles, manned aircraft, unmanned
aerial vehicles, and ISR systems.
Technical Approach:
(a) A combination of experimental andanalytical techniques are employed to advancethe efficiency of the energy conversion means(as an integral part of load-bearing structures)and to optimize their multifunctionalperformance and ability to cover larger areas.
(b) Multifunctional composites are created with
individual layers acting as photovoltaic/thermo-electric/piezoelectric power harvesting andelectrochemical power storage elements.
Budget:
$K
FY06 FY07 FY08 FY09 FY10 FY11
693,335 1,169,560 1,180,608 1,219,324 1,179,991 568,571
Major Reviews/Meetings: 29 August 2007: Seattle, WA 5 August 2008: Boulder, CO
11 August 2009: Blacksburg, VA18 August 2010: Los Angeles, CA
polymersolar cells
thermo-electrics (TE)antenna system underthe wing with TE
polymerbattery cells
INTEGR D ENERGY HARVESTING(U WA/U CO/UCLA/VPI: Taya et al)
MURI 06
PM:B. L. Lee (NA);
Co-PMs: Joan Fuller (NA), David Stargel (NA)
INTEGRD ENERGY HARVESTING
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Year 4 Highlights
Developed new anti-reflection surface coating inspired bymoth eyes for solar cells with higher transmittance
Process scale-up of dye-sensitized solar cells (DSSC) Integrated the DSSC onto a quasi-wing structure and
confirmed the endurance under 44,000+ bending cycles Shrink-fit integration and FGM electrodes for linear TE
modules with increased durability Microwave synthesis of nano-particles of Bi2Te3 Design of scalable and stretchable thin-film Li ion
batteries for UAV structures Modeling of electrochemical and mechanical response of
solid-state electrolyte and their morphology effects
Simulations predicting onset of mechanical failure leadingto capacity fade in agreement with experiments
Experimental characterization of cracking and twining in Sianode with Li ion insertion (first-everobservation).
Assessed battery survivability in co-curing environment UAV test bed at U Colorado
INTEGR D ENERGY HARVESTING(U WA/U CO/UCLA/VPI: Taya et al)
MURI 06
4-Point Bending Test
DSSC
e
e
e
e
e
e
e
e
Li+
Li+Li+
Li+
Li+
A
e
e
e
e
e
e
e
e
Li+
Li+Li+
Li+
Li+
A
Fe-SMA
Cu-SMA
SCIENTIFIC CHALLENGES &
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SCIENTIFIC CHALLENGES &PROGRAM ACHIEVEMENT
Self-healable or in-situ remendable structural materials(1st-everprogram; world lead)
Microvascular composites for continuous self-healingand self-cooling systems (1st-everprogram; world lead)
Structural integration of energy harvest/storagecapabilities (1st-everprogram on structurally integrated multipleenergy harvest capabilities; DoD lead)
Neurological system-inspired sensing/diagnosis/actuation network (potlworld lead)
Mechanized material systems and micro-devices forreconfigurable structures (DoD lead)
Experimental nano-mechanics (DoD lead)
PROGRAM TRENDS
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NAME: B. L. Lee
BRIEF DESCRIPTION OF PORTFOLIO:Basic research for integration of advanced materials and micro-systems into future Air Force systems requiring multi-functionality
LIST OF SUB-AREAS:
Life Prediction (Materials & Devices);Sensing & Diagnosis;Micro-, Nano- & Multi-scale Mechanics;Multifunctional Design (Shape Change);Multifunctional Design (Property Tuning);
Self-Healing & Remediation;Self-Cooling & Thermal Management;Self-Sustaining Systems & Energy Management;Precognition & Neutralization of Threats;Engineered Nanomaterials
PROGRAM TRENDS
EXPERIMENTAL NANOMECHANICS
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Cracks were imaged in nanometer
scale by AFM to obtain their geometryand the grain structure at the crack tip.
Doping caused a drop in fracturetoughness of laminated polysiliconwhile it increased the toughness of
coarse grain polysilicon films
10 m
Edge crack
Substrate
Specimen
150 m
25 m long sharp cracks created in 2 mthin polycrystalline silicon specimens bynanoindentation near free edge
Crack tip
500 nm
EXPERIMENTAL NANOMECHANICS(UIUC: Chasiotis)
MULTISCALE ANALYSIS:
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U SC S SOn-Going Research
72
Cracks were imaged in nanometerscale by AFM to obtain their geometryand the grain structure at the crack tip.
Doping caused a drop in fracturetoughness of laminated polysilicon
while it increased the toughness ofcoarse grain polysilicon films
10 m
Edge crack
Substrate
Specimen
150 m
25 m long sharp cracks created in 2 mthin polycrystalline silicon specimens bynanoindentation near free edge
Crack tip
500 nmEXPERIMENTAL NANOMECHANICS(UIUC: Chasiotis)
36
MAIN ACHIEVEMENTS:
HOW IT WORKS: The non-linear mechanical response of hierarchical
structure of proteins is caused by the structural transition
mechanisms during deformation.
The alterable structure enables proteins to combine
disparate material properties (flexible, strength,
robustness).
The structural and mechanical property of
intermediated filaments are altered by point mutation.
Current engineering materialsRemain limited in their ability to
combine disparate properties such
as high strength, robustness,
self-healing, mutability
Biological materials and structures Show intriguing material properties combine
disparate properties in a single material
De novo materials design Requires bottom-up structural design, from nano
to macro need to understand structure-property
links in biological materials
Multi-scale analysis of biological
structures Intermediated filaments, found in cells nuclear
envelop, provide intriguing mechanical properties
provide great extensibility, strength, mechanical
robustness, and ability to self-heal structural
analysis reveals a intricate design, from atomistic to
macroscopic.
IMPACT Provide the first atomic
mechanism and condition
of the stiffening behaviorof alpha-helical materials.
Developed model to link
the microscopic structural
transition with the
macroscopic behavior.
Enables to seek the
mechanical property of
protein materials with
mutation.
TRANSITIONS New MURI project for fiber design PI visitedAFRL in 2010 (Wright-Patterson AFB) PI
awarded PECASE
FUTURE RESEARCH GOALS Facilitate merger of structure, material
property and function through the bottom-up
multi-scale design, from atomic to macroscopicbehavior.
Quantitatively understand the assembling
process of protein materials and factors to
affect the material property of those assembled
structures.
Quantitatively understand the cascaded
activation of mutations and their effect on
material performance.
Provide basis for new engineering paradigm
to functionalize the hierarchical structural
materials (e.g. new composites or polymers
combine high flexibility, ultimate strength, self
healing and robustness): novel materials for
advanced Air Force technologies
Multi-scale approach to understand biological protein materials & translate design concepts into engineering applications
STATUS
QUO
END-OF-PHASEGOAL
QUANTITATIVEIMPACT
NEWINSIGHTS
Study of nuclear lamina
(meshwork of filaments).
Discovered the flaw
tolerance of this structure is
caused by non-linear
mechanical response of
intermediate filaments.The adhesion energy of
the lamin tail is changed
due to mutation, leading
to altered mechanical
response of filaments
Mechanism of the - transition caused by mechanical force.
Structural transition related
Non-linear mechanical property
Qin, Kreplak, Buehler, PRL, 2010, PLOS ONE, 2009
Qin, Buehler, PRL, 2010
Example of hierarchical structure of lamin at nuclear
lamina.
Materials science paradigm
applied to the hierarchical
structure of protein
materials.
Buehler,Nature Nanotechnology,1
STRUCTURAL HIERARCHIES INPROTEIN MATERIALS (MIT: Buehler)
MULTISCALE ANALYSIS:
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U SC S SJoint ARO/AFOSR/NSF Workshop
72
Cracks were imaged in nanometerscale by AFM to obtain their geometryand the grain structure at the crack tip.
Doping caused a drop in fracturetoughness of laminated polysilicon
while it increased the toughness ofcoarse grain polysilicon films
10 m
Edge crack
Substrate
Specimen
150 m
25 m long sharp cracks created in 2 mthin polycrystalline silicon specimens bynanoindentation near free edge
Crack tip
500 nmEXPERIMENTAL NANOMECHANICS(UIUC: Chasiotis)
36
MAIN ACHIEVEMENTS:
HOW IT WORKS: The non-linear mechanical response of hierarchical
structure of proteins is caused by the structural transition
mechanisms during deformation.
The alterable structure enables proteins to combine
disparate material properties (flexible, strength,
robustness).
The structural and mechanical property of
intermediated filaments are altered by point mutation.
Current engineering materialsRemain limited in their ability to
combine disparate properties such
as high strength, robustness,
self-healing, mutability
Biological materials and structures Show intriguing material properties combine
disparate properties in a single material
De novo materials design Requires bottom-up structural design, from nano
to macro need to understand structure-property
links in biological materials
Multi-scale analysis of biological
structures Intermediated filaments, found in cells nuclear
envelop, provide intriguing mechanical properties
provide great extensibility, strength, mechanical
robustness, and ability to self-heal structural
analysis reveals a intricate design, from atomistic to
macroscopic.
IMPACT Provide the first atomic
mechanism and condition
of the stiffening behaviorof alpha-helical materials.
Developed model to link
the microscopic structural
transition with the
macroscopic behavior.
Enables to seek the
mechanical property of
protein materials with
mutation.
TRANSITIONS New MURI project for fiber design PI visitedAFRL in 2010 (Wright-Patterson AFB) PI
awarded PECASE
FUTURE RESEARCH GOALS Facilitate merger of structure, material
property and function through the bottom-up
multi-scale design, from atomic to macroscopicbehavior.
Quantitatively understand the assembling
process of protein materials and factors to
affect the material property of those assembled
structures.
Quantitatively understand the cascaded
activation of mutations and their effect on
material performance.
Provide basis for new engineering paradigm
to functionalize the hierarchical structural
materials (e.g. new composites or polymers
combine high flexibility, ultimate strength, self
healing and robustness): novel materials for
advanced Air Force technologies
Multi-scale approach to understand biological protein materials & translate design concepts into engineering applications
STATUS
QUO
END-OF-PHASEGOAL
QUANTITATIVEIMPACT
NEWINSIGHTS
Study of nuclear lamina
(meshwork of filaments).
Discovered the flaw
tolerance of this structure is
caused by non-linear
mechanical response of
intermediate filaments.The adhesion energy of
the lamin tail is changed
due to mutation, leading
to altered mechanical
response of filaments
Mechanism of the - transition caused by mechanical force.
Structural transition related
Non-linear mechanical property
Qin, Kreplak, Buehler, PRL, 2010, PLOS ONE, 2009
Qin, Buehler, PRL, 2010
Example of hierarchical structure of lamin at nuclear
lamina.
Materials science paradigm
applied to the hierarchical
structure of protein
materials.
Buehler,Nature Nanotechnology,1
STRUCTURAL HIERARCHIES INPROTEIN MATERIALS (MIT: Buehler)
2-5 May 2011, Arlington, VA
WORKSHOP ONMULTISCALE EXPERIMENTS
Ioannis Chasiotis (U Illinois), Chair
WORKSHOP ONMULTISCALE ANALYSIS FOR
MULTIFUNCTIONAL DESIGNSomnath Ghosh (Johns Hopkins U), Co-Chair
Tom Hahn (UCLA), Co-Chair
WORKSHOP ONCOMPUTATIONAL MULTISCALE
MATERIALS MODELINGSomnath Ghosh (Johns Hopkins U), Chair
Joint Organizing Committee:Bruce LaMattina (ARO), Co-Chair
B.-L. (Les) Lee (AFOSR), Co-ChairGlaucio Paulino (NSF), Co-Chair
3 Workshop ChairsJeff Baur(AFRL/RX)Ajit Roy (AFRL/RX)
John Beatty (ARL/WMRD)Ernest Chin (ARL/WMRD)Eric Wetzel (ARL/WMRD)
James Thomas (NRL)
NANOMATERIALS FOR
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Engineered Nanomaterials for
Multifunctional Structures: Shape Memory AlloyNano-rodsfor Actuation
Carbon Nanotube(CNT) Grown on Graphite Fibers
CNT-BasedContinuous FiberReinforcement
Layer-by-Layer(LBL) Assembled CNT Composites
Alignmentof Nanoreinforcement
Graphite / Bi2Te3 / Bi2Se3 / MoSe2Nano-platelets
Gecko"AdhesionUsing Ordered Arrays of CNTs
Self-Healing ViaNanoscale Capsules
Reactive CNTfor Active Armors ExperimentalNanomechanics
U Wisconsin U Michigan Brown U U Delaware Stanford U U IllinoisCarbon Solutions Case Western CU Aero3Tex UC San Diego MIT U Texas Dallas UCLA
STRUCTURES: 06 INITIATIVE
NANOMATERIALS FOR
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Engineered Nanomaterials for
Multifunctional Structures: Shape Memory AlloyNano-rodsfor Actuation
Carbon Nanotube(CNT) Grown on Graphite Fibers
CNT-BasedContinuous FiberReinforcement
Layer-by-Layer(LBL) Assembled CNT Composites
Alignmentof Nanoreinforcement
Graphite / Bi2Te3 / Bi2Se3 / MoSe2Nano-platelets
Gecko"AdhesionUsing Ordered Arrays of CNTs
Self-Healing ViaNanoscale Capsules
Reactive CNTfor Active Armors ExperimentalNanomechanics
U Wisconsin U Michigan Brown U U Delaware Stanford U U IllinoisCarbon Solutions Case Western CU Aero3Tex UC San Diego MIT U Texas Dallas UCLA
STRUCTURES: 06 INITIATIVE
PIs & Co-PIs:
Nancy Sottos (UIUC)Vikas Prakash (Case Western)Ajit Roy (AFRL/RXBT)Frank Ko (U Brit Columbia)*Ray Baughman (U Texas Dallas)A. John Hart (U Mich)Michael Strano (MIT)
Greg Carman (UCLA)Ronggui Yang (U CO)*Se-Hee Lee (U CO)*Tim Fisher (Purdue U)Ioannis Chasiotis(UIUC)John Kieffer(U Mich)Nicholas Kotov(U Mich)Jimmy Xu(Brown U)Erik Thostenson(U Del)Mrinal Saha(OK St U)Alexander Bogdanovich(3Tex)Yuntain T. Zhu(NC St U)Kelechi Anyaogu(Nico)David L Carnahan(NanoLab)
^ YIP;* MURI
SUMMARY
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SUMMARY
The program is fully focused on the establishment of advanced
multi-functional aerospace structures. A major progress has been made in pursuing a new vision for
autonomic systems and providing research support for baselinemultifunctional materials and microsystems.
Three initiatives for autonomic aerospace structures are highlysuccessful: microvascularcomposites(MURI 05),structurally integrated energy harvest/storage capabilities
(MURI 06) and load bearing antennas(GameChanger 07).
Three new initiatives are implemented for reconfigurablemultifunctional structures,energy harvesting from aerospace
environment and neurological system inspired sensorynetwork(MURI 09).
A new initiative is planned for multiscale analysis for multi-functional designin close collaboration with AFRL TD PIs,
AFOSR PMs and the colleagues at other funding agencies.
Back-Up Slides
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Back Up Slides
Modeling and Simulation for
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Electro-Thermo-MechanicalComputational Tools
Domain Decomposition
Techniques to Model Nanowires
Inside Polymer Composites
OBJECTIVES
Develop integrated multi-scale multi-physics computational model for analysis and
design of load bearing antenna.
Robust finite element for coupled electro-magnetic and mechanical structural response Multi-scale effects through the incorporation of semi-analytical methods
Homogenization methods for continuum constitutive models to be inserted in
macroscopic analysis
Methods for microstructural design to facilitate optimal property distribution
ACCOMPLISMENTS High-performance parallel computational framework
Electro-magnetic code for solving Maxwells equations
Finite deformation model/code for structural mechanics under dynamic loading with
hyper-elastic material model Coupling of EM and Dynamic Codes
Multi-time scaling algorithm for coupling mechanical and EM solutions in real time
CHALLENGES
1. Large matrix system needed for highprecision;
2. Ill -conditioned matrices haveconvergence difficulty;
3. Repetitive re-meshing for in situdesigns
Modeling Small UWB Antennas
on UAV Platform
Feed
50 x
y
z
Planar Spiral
Mesh on Planar
Spiral
Detailed Mesh Background Mesh
gConformal Load Bearing Antennas
ACTIVE MATERIALS FOR
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48
To design better actuators/morphingdevices using shape memory alloyhoneycomb which combines benefits ofcellular structures and monolithic SMAs
Objectives:
After non-uniformity due to structurallevel instabilities at moderate strains, thedeformation pattern becomes uniformagain upon further straining .
This morphing behavior reverses underunloading.
CELLULAR SHAPE MEMORY
STRUCTURES (U Mich: Triantafylli)
47
Forest-drawn carbon nanotube sheets
have higher specific strength than steel.
Charge injection of carbon nanotubesheets produces giant width-directionactuation (>3.3 X) from 80 to 1900 K.
Sheets CONTRACT in nanotubedirection by up to 2% during actuation.
Generated stress is 32 times the stressgeneration capability of natural muscle.
Motor
Nanotube Forest
Mandrel
Meterlongcarbonnanotubesheet
Forest
Sheet (right) being spun
from nanotube forest (left)
Side view of above sheetspinning from forest
300 K, 0 kV
300 K, 5 kV
1500 K, 5 kV
NANOTUBE ARTIFICIAL MUSCLE(U Texas Dallas: Baughman)
ADAPTIVE STRUCTURES
BAT-INSPIRED MORPHING WING
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CURRENTSTAT
E
NEWINSIGH
TS
QUANTITATIVEIMPACT
END-OF-PHASEGOAL
MAIN ACHIEVEMENTS (Contd): Current Impact
Inertial Measurement (IM)
Acceleration and angular velocities recorded forstraight and obstructed flights Dorsal mount miniature wireless IM Unit (IMU)
Mechanical Characterization of Bat Membrane Strain experiments Constitutive modeling
-Fiber bundle dist.-Fiber bundle comp.-Base matrix corrugation
Result satisfy materialanisotropy property
MAIN ACHIEVEMENTS:
Skeletal Assembly Bones assembled in CAD CAD model guides
mechanical design
Robotic Wing 4 DOF
High flapping frequency
Data Smoothing, Motion Trajectory
Motion capture dataimproved
Motion trajectory definedfor humerus and radius
High-fidelity models forcomponents and integratedstructure representative of a
bat-wing
Quantitative evaluation offlight performance, energyconsumption and efficiency
Estimates of weight, volumeand geometry of a roboticbat-wing
Guidelines to develop an
autonomous, hovering, highlymaneuverable, bat-like MAV
Reconfigurable hovering ultra-maneuerablebat technologies (RHUMBAT) offers
potential benefits in operational robustness. Most research has focused on recreating
three degrees of freedom (DOFs) assoc
with this motion: flap, lag, and feather Small vehicle size and low inertia make fine-
scale control required for envisionedmissions difficult.
Our unique approach considers actuatorsthat are distributed across the structure.
We provide detailed analysis for selection ofactuation DOF using motion capture andrevealing complex morphologies of joints.
Wing membrane characterization showsthickness inhomogeneities to be consideredin materials selection.
In depth understanding of
bat skeletal structure andskeletal dynamics duringflight
Materials analysis forstructural and aerodynamicsurfaces
Translation of bat dynamicsto robotic system
Biological Experiments Examined wing fiber
under polarized light Guides constitutive
model development
IMU
Right wing assembly
Preliminary design
Wing fibersImproved suturing and biaxial setup
Simulated Stress-Strain CurveBiaxial loading
Strain analysis
(NextGen/Brown U/VPI: Joshi)
REVERSIBLE SHAPE MEMORYS CO
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Commonly Used Shape Memory
Polymers (SMP) One-way shape memory (SM) effects Not
being able to recover the temporary shape
No design tools available
Two-way Shape Memory Polymers Two-way SM effects using switching
between two stable states No two-way SM
due to intrinsic material property change
Two-way SMPs Applications Require combinatorial methods for
material synthesis, modeling, and design.
Two-Way SMP by the Concept of
Opposing Microstructural-Scale
Spring Two opposing spring can generate motions
if one or both of them can change properties
as temperature changes Opposing spring
can be realized through material/structure
design at micro-scale.
MAIN ACHIEVEMENTS: Demonstrate two-way shape memory effects assisted by
external force.
Fabricate reversible free-standing two-way shape
memory polymer composites.
HOW IT WORKS: Stretched induced crystallization (SIC) can relax the
stress Opposing microstructural-scale spring creates
reversible free-standing two-way SMP Shape memory
effect is fully reversible.
Current Impact First free-standing two-way SMP based onintrinsic material property change Large
reversible actuation strain
Planned Impact Two-way SMPs for multifunctionalstructural Design tools that enhance robust
design Novel applications based on two-
way SMP
Research Goals Complete understanding of material
behaviors Design tools for novel
applications of these materials Explore
other polymer-based shape memory
materials Explore applications with AFRL
STATUSQUO
END-OF-PHASEGO
AL
Q
UANTITATIVEIMPACT
NEWINSIGHTS
Proposed applications: a) Rotational actuation
in shear to enable autonomous rotation for
mirror motion, wing joints. b) Reversible
blistering of two-way SMPs for variable
boundary layer aircraft control surfaces.
Ki Ks(T)Ki Ks(T)
The spring on
the left has a
constant
stiffness Ki and
the stiffness of
right spring Ksdepends on the
temperature.
SMPin shearStator
Rotor
Reversible TorsionVia SMP Shear
to mirror(a)
(b)
SMPin shearStator
Rotor
Reversible TorsionVia SMP Shear
to mirror
SMPin shearStator
Rotor
Reversible TorsionVia SMP Shear
to mirror(a)
(b)
Two-way shape
memory effect
assisted by an
external force
2W-SMP 2W-SMP is
stretched at
high T, then
cooled to low T
2W-SMP is
laid on top
of the
polymer
A polymer
layer is photo-
synthesized
on top.
0mn 1min 2min 3min 4min 5min 6min 7min
Heating Cooling
(Syracuse U / U CO: Mather)
Thermoelectric Module IntegrationMURI 06
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TE design
Analysis results
Phi TE Linear TELinear TE w/ FGM
and shrink-fit (1.25mm)Linear TE w/ FGM
and shrink-fit (2.5mm)Linear TE w/ FGM
and shrink-fit (2.5mm)
Generated temperature gapacross TE element (deg C)
338 344 344 346 394
Maximum normal stress onelectrode (Mpa)
-1100 -1200 -535 -591 -642
Maximum shear stress on
electrode (MPa) 146 617 329 311 337Maximum shear stress on TE
element (MPa)125 71 34 43 56
Power density (W/cm2) 0.80 0.87 0.87 0.89 1.15
Module efficiency (%) 12.8 13.3 13.3 13.4 14.8
Fe-SMA
Cu-SMA
Fe-SMA
Cu-SMA
Grazing material(Ag)
CNT
SMA
Electrode (Cu)
n-type: Mg2
Si0.96
Bi0.03
In0.01
p-type: Si0.93Ge0.05B0.02 Heat source side: Fe-SMA
Heat exhaust side: Cu-SMA
CNT in grazing material gives: locking Ag reducing the creep strain
Fe-SMA
Cu-SMA
450C
50C
Thermoelectric Module IntegrationMURI 06
Modeling and Simulation ofL d B i Li I B i
MURI 06
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e
e
e
e
e
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Li+
Li+Li+
Li+
Li+
AMacro-scale (1D)
Micro-scale (1/2/3D)
input
discharge current
porosity
temperature
mech. loads
input
material system
particle geometry
outputcapacity (utilization*)
voltage (electric power)
Li concentration*
chemical eigenstrains*
deformation*& stress*
temperature*
output
particle Li concentration*
particle deformation*
particle stress* (degradation)
* as function of space and time
Multiscale framework allows connection between microscale behavior, e.g.,stress development, as a function of actual battery operating conditions
gLoad Bearing Li Ion Batteries
MURI 06
STTR10: HYBRID ENERGY HARVEST(P MEMS)
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Paramagnetic State
(Heating)
Ferromagnetic State
(Cooling)
OscillationAmplitude
Bi-Directional
Magnetic Force
SpringForce
SpringForce
MagenticForce
Perm-magnet Perm-magnet Perm-magnet
Force
FerromagneticState
ParamagneticState
StateTransition
Tcurie
Tcurie -1C Tcurie +1C
Temperature
Bi-directional
Extract work from phase transitions
Pairing solar panels with magneto-thermoelectric
power generator as active thermal backplane forsolar panel cooling and hybrid energy harvest
(PowerMEMS)
magneto-thermoelectricpower generator(STTR07)
ENERGY HARVESTING ONSPACECRAFT (P St t Bil )
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PROJECT SUMMARY
ACCOMPLISHMENTSAPPROACH
Objectives:
Team:
Develop system concepts for use of ElectrodynamicTethers (EDT) on an array of spacecraft in variety oforbits and for various missions
Address EDT performance parameters
Evaluate various system components required
Explore energy storage devices
Sven Biln, PI, and Jesse McTernan, Penn StateBrian Gilchrist, Co-PI, and Iverson Bell, Univ. MichiganRob Hoyt, Nestor Voronka, Co-Is, TUI, Inc.
Explore EDT system architecturesfor energy harvesting and storage
Employ tether simulation toolsTeMPEST and TetherSim forverifying performance
Develop and extend simulationtools to include energy harvestingmodes and new components
Define new architectures fori l i i d
ChipSat system concept development andfeasibility study
CubeSat system concept development andsolar panel comparison study
Large spacecraft system conceptdevelopment and voltage and currentmagnitudes study
Work underway to implement an energystorage module for TeMPEST
EDTs can be used toharvest energy andprovide propulsion
SPACECRAFT (Penn State: Bilen)