2. stargel - multi-scale
TRANSCRIPT
Multi-Scale Structural
Mechanics and Prognosis 18 March 2011
Dr. David Stargel
Program Manager
AFOSR/RSA
Air Force Office of Scientific Research
AFOSR
Distribution A: Approved for public release; distribution is unlimited. 88ABW-2011-0794
2
Structural Mechanics
• Structural Health Monitoring
• Non-destructive Evaluation
• Prognostics
• Physics-based Modeling
Thrusts
Novel Flight Structures
Multi-scale Modeling and Prognosis
• Morphing Aircraft
• Flapping Wing Air Vehicles
• Non-traditional Structural Configurations
Structural Dynamics
• Thermo-acoustic Response
• Space Structures
• Penetration Mechanics
ISHM Untested
Flight
System
Making Today’s
Technology Obsolete
3
Structural Mechanics
• Uncertainty/Variability
• Probability of Detection
• Verification & Validation
• Time & Length Scale Couplings
Challenges
Novel Flight Structures
Multi-scale Modeling and Prognosis
• Multi-disciplinary Design Problems
• Non-traditional Structural Configurations
• Student Education
Structural Dynamics
• Computation Cost
• Non-linear Interactions
• Testing Environments
ISHM Untested
Flight
System
4
Novel Flight Structures: Fundamental Research Trends
• “Disruptive” new flight structures concepts and unprecedented
flight configurations
• Reconfigurable adaptive flight structures with on-demand shape
morphing for real-time responce to changing missions demands
and threats
• Hybrid flight structures of dissimilar materials (metallic,
composite, ceramic acting together) under dynamic loads, blast,
and sustained extreme environments:– Ceramic matrix composites
– Multi-material joints and/or interfaces
• Conventional strength-based analysis of metallic structures (TR)
• Multi-scale predictive modeling for combined design of
structures and materials
5
Structural Dynamics: Fundamental Research Trends
• Control of dynamic response of extremely flexible nonlinear flight
structures
• Modeling of unsteady energy flow in nonlinear flight structures at
various flight regimes
• Nonlinear dynamics of thin-wall structures of functionally-graded
hybrid materials with internal vascular networks under extreme
thermo-acoustic loading conditions
• Classical modal analysis and linear vibration control (TR)
• Nonlinear structural dynamics in interaction with air flow, unsteady
heating, directed energy, servo-controls at various regimes
• New modeling methods for guided wave propagation and nonlinear
vibrations (e.g., spectral finite elements; peridynamics; etc.)
6
Multi-scale modeling and prognosis: Fundamental Research Trends
• Stochastic prediction of the structural flaws distribution and
service-induced damage on each aircraft and at fleet level
• Probabilistic analysis that accounts for variability due to
materials, processing, fabrication, maintenance actions,
changing mission profiles typical of Air Force applications
• Conventional fatigue analysis of metallic structures for fixed-
life structural design/prognosis
• On-board health monitoring and embedded NDE of flight
structures: unprecedented sensing methods; compact
structures and material prognosis algorithms
• Prediction of flight structures “hot spots” prone to early in-
service failure and/or degradation
• Prognosis of advanced structures: simultaneous SHM/NDE
and analysis of the interacting material and structural
behaviors under long-term in-service conditions
7
Structural Mechanics Vision of Future Weapon Systems
Past Present Future
Few tests represent
aircraft fleet
CAE supplements
experimental fleet models
Each aircraft has its
own virtual twin
8
Structural Mechanics
• NASA - Ed Glaessgen/Steve Smith
• ARO/ARL - David Stepp/Jim Chang
• ONR - Ignacio Perez/Liming Salvino/David Shifler
• NSF - Glaucio Paulino
• DTRA – Su Peiris
• MURI on Uncertainty – Fariba Fahroo
• Mathematics for Multi-Scale Modeling – Fariba Fahroo
• RB/RX Collaborative Lab Task –Ravi Chona/Tom Eason/Reji John
• MURI on Hybrid Structures –Joycelyn Harrison/Ali Sayir
Collaborations
9
AFOSR/NASA Space Act Agreement
10
Excerpt from NASA Roadmap –A Transition
Future
Each aircraft has its
own virtual twin
11
Multi-Scale Simulation for Structural Reliability
AFOSR RB-RX Collaborative Lab Task: Proposal Plan
AFOSR Program: Multi-scale Structural Mechanics
Program Manager: Dr. David Stargel
28 January 2011
PIs: Ravi Chona*, Tom Eason* and Reji John**
Air Force Research Laboratory, AFRL
*Air Vehicles Directorate, **Materials & Manufacturing Directorate
Wright-Patterson Air Force Base, OH, 45433
Scientific Challenge and Impact
How can material-level damage evolution & accumulation best
inform structural-level reliability assessment … and vice versa?
Needed: A framework for propagating information across length scales
drilling down only as far as absolutely necessary
Fracture
surface
Secon
dary im
ages
Essential to realizing the Digital Twin vision
nano micro meso macro
Long-Term Goal and Objectives
• Goal
– Identify and optimize the linkage of robust models having the
appropriate volume element dimension to predict location
specific properties as a function of temperature, environment,
stress and time
• Objectives
– Explore the sensitivity of structural airframe component models
to the multiscale elements focused on the microscale structural
degradation mechanism
– Identify optimized triggering mechanisms leading to the
appropriate high fidelity model without drilling down to the
atomistic level (unless absolutely necessary)
– Demonstrate feasibility of approach and computational results
via experimental validation• FY17 - Simulate variability in structural scale predictions due to material scale
uncertainties
Accomplishments
FY09-FY10-FY11
A visco-plastic-damage mechanics model
incorporating the effects of oxygen concentration:
• Initiated development of a multiscale computational
framework (Variational Multi-scale Enrichment method)
– Efficient enrichment of structural scale simulations with
information from grain scale (micro-scale) simulations
• Characterized Oxygen enriched region in Ti-6242S at
anticipated use temperatures
– Up to 650°C (1200°F), 420 hours
– Limited data available in this range
• Developed 1D diffusion microstructure-sensitive model
incorporating partial O2 & temperature = f(time)
• Developed 2D microstructure-based finite element
diffusion analysis
– Actual microstructure from high resolution backscattered
image; Grain geometry represented explicitly in 2D
• Developed model to relate critical strain to onset of
widespread cracking under tensile loading
Next (Bridging) Steps
• FY12
– Integrate Oxygen ingress and tensile cracking models into the
Variational Multi-scale Enrichment (VME) method
– Validate ability to predict Oxygen ingress effects at micro and meso
scales
– Initiate development of a coupled isothermal crystal plasticity – oxygen
transport model
– Initiate investigation of effects of non-monotonic, repetitive loading on
Oxygen ingress induced damage
– Develop detailed research work plan for Way Forward
• FY17– Simulate variability in structural scale predictions due to material scale
uncertainties
– Conduct full-scale structural validation
AFOSR-MURI
Functionally Graded Hybrid Composites
17
Synthesis, Characterization and Prognostic
Modeling of Functionally Graded Hybrid
Composites for Extreme Environments
Principal Investigator
Dimitris C. Lagoudas
Department of Aerospace Engineering
Texas A&M University
College Station, TX 77843
Partner Universities
Texas A&M University
University of Illinois at Urbana-Champaign
Virginia Polytechnic Institute and State University
Stanford University
University of Dayton Research Institute
http://muri18.tamu.edu
AFOSR-MURI
Functionally Graded Hybrid Composites
Goals
A comprehensive research program coupling thermal-
acoustic-mechanical flight loads to guide the design of
multi-functional Functionally Graded Hybrid Composite
(FGHC) systems with integrated sensing capabilities for
extreme environments.
multi-scale simulations
multi-scale characterization
Target operating environment: 250 °C - 1000 °C, with a durability
envelope of 1000 hours exposure at 550 °C and 300 thermal
cycles
18
AFOSR-MURI
Functionally Graded Hybrid Composites
Mn+1AXn Phases (n = 1, 2 and 3)
211 312 413
Easy to form and machine
Stiff (320 GPa) and tough
Good thermal and electrical conductor
Thermal shock and fatigue resistant
Oxidation resistant (in air up to 1400°C).
Low friction
AFOSR-MURI
Functionally Graded Hybrid Composites
Joining PMC
w/ GCMeC,
embedded
SHM sensors
Fundamentals of FGHC
Multi-scale
Characterization
Multiscale Structural
Modelling
Structural
Health
Monitoring
Fabrication
PMC
GCMeC
1000C
300-400C
• Initial material
parameters
• Validation
experiments
AFOSR-MURI
Functionally Graded Hybrid Composites21
Research Thrusts
Development and Fabrication Develop multifunctional FGHC
with multiple layers: a ceramic thermal barrier layer, a graded ceramic/metal
composite (GCMeC) layer and a high-temperature polymer matrix composite
(PMC) layer.
Multi-scale Characterization Develop and apply experimental
techniques to obtain mechanical andphysical properties of GCMeC and PMC
layers and of the hybrid interfaces.
Insitu NDE/SHM Integrate of SHM capabilities through networked
sensor/actuator arrays,diagnostic algorithm development, control theory and
fabrication optimization.
Multi-scale Modeling Develop of novel material systems for use in
extreme environments: design FGHC microstructure, develop experiments
and interpret data to obtain basic material properties.
Exciting New Initiatives
Transformation Computing in
Aerospace Science & Engineering
Future, 2025…
Tomorrow, 2015
Today, 2011
PMs: David Stargel & Douglas Smith
(T–CASE)
• To create transformational approaches in computing for aerospace science and engineering
• Multi-disciplinary approach including novel computer architectures, system software, and mathematical algorithms
• Emphasis on• Multi-scale modeling & structural
mechanics• Complex flow physics modeling & control
Novel micro-architectures?
Hybrid/complementary
photonic methods?
Quantum-based systems?
Bio-computing?
Neuro-morphic computing?
25
Structural Mechanics Summary
Past Present Future
Few tests represent
aircraft fleet
CAE supplements
experimental fleet models
Each aircraft has its
own virtual twin
• Three core thrusts with the integrating vision of a
Virtual Twin Concept
•Vision is expanding across other organizations
• Program is coordinated and actively collaborating
with other government agencies and within AFOSR
• Joint Roadmap Development with NASA
• Exploring new transformational capabilities
• AFOSR is leading the way
• Questions??
BACKUP CHARTS
Initial Approach
• Explore the incorporation of
time and location specific
properties on component life
via modeling
• Investigate refining life
models using reasonable
multi-scale feedback /
communication approaches
• Validate results via sub-scale
laboratory structural testing
Define needed framework by identifying critical elements and the
interplay of sensitivity and triggering mechanisms
• Understand the role of
microstructure variation
• Develop damage evolution
physics and short crack growth
initiation and growth
understanding via the use of
limited laboratory sub-scale
coupon tests
• Enable subscale model feedback
mechanism from macroscopic
model
Demonstrate this framework using a metallic system (Ti-6242S)
subjected to thermal-mechanical fatigue
The Way Forward
• FY13– Develop a coupled isothermal crystal plasticity – oxygen transport model that
accounts for different phases (alpha, beta, grain boundary) and temperature
cycle effects
• FY14– Incorporate geometric nonlinearity into the Variational Multi-scale Enrichment
(VME) framework and implement highly-parallelizable computational strategies
– Understand effects of fatigue loading, tension vs. compression, partial O2
pressure on oxygen ingress
• FY15– Conduct structural scale isothermal validation
– Implement adaptive VME approach to track critical oxygen concentration front
– Develop 3D microstructure-based diffusion model
– Develop mechanistic model to predict remaining ductility and life
• FY16– Conduct structural scale thermal-mechanical fatigue validation
– Add field discontinuities (e.g., cracks) to VME framework
– Enhance oxygen ingress model to account for thermal cycles, gradients, stress
level, and presence of damage
• FY17– Simulate variability in structural scale predictions due to material scale
uncertainties
– Conduct full-scale structural validation
AFOSR-MURI
Functionally Graded Hybrid Composites29
Multi-scale Characterization
INTERFACES AND BONDED JOINTS
Thermal Impedance
Interfacial Delamination
cm
nm
mm
mm
Graded Ceramic/Metal Matrix Composites
Polymer/Matrix Composites
Local Strain Fields/Damage Initiation
CHARACTERIZATION OF COMPOSITE LAYERS
STRUCTURAL PERFORMANCE
Impact Response
Vibration Analysis
AFOSR-MURI
Functionally Graded Hybrid Composites
High Temperature SHM/NDE
In-situ characterization of the integrity of FGHC
Sensors & Sensing Network
Diagnostic Algorithms
Modeling
Integration & Characterization
AFOSR-MURI
Functionally Graded Hybrid Composites
Multi-scale Modeling Wide Range of Scales
Expedite mechanical & thermal design
Predict performance of material & components
Develop strategies for joining parts
Define in-flight mechanical & thermal loads
AFOSR-MURI
Functionally Graded Hybrid Composites
SPARK PLASMA SINTERING SYSTEM
Impact on the MURI project:
• Rapid synthesis of GCMeC;
• Better control of phase distribution in GCMeC;
• Lowering the co-sintering temperature of GCMeC;
• Gradual phase transition in GCMeC;
• Homogeneous and fully dense GCMeC;
• SPS has been proven to be successful technique for
co-sintering composites and functionally graded
composites with MAX phases.
Ti2AlC-TiAl composite
fabricated by SPS1.
1Y. M. Luo, P. Wei, S. Q. Li, R. G. Wang, J. Q. Li, Materials Science and Engineering A, 2003, 345, 99.
2 B. Mei, o. Y. Miya, Materials Chemistry and Physics 2002, 75, 291.
Ti2AlC-TiAl composite
fabricated by SPS2.
AFOSR-MURI
Functionally Graded Hybrid Composites
MATERIALS
Ceramic MAX Phase Metal Composites
Ti2AlC
Ti – Ti2AlC
Ni50Ti50 - Ti3SiC2(Ti2AlC)
GCMeC
PROCESSING & CHARACTERIZATION
Karaman, Radovic, Lagoudas
MODELING Lagoudas, Whitcomb, Gao, Reddy, Ochoa
AFOSR-MURI
Functionally Graded Hybrid Composites
Mn+1AXn Phases (n = 1, 2 and 3)
211 312 413
Easy to form and machine
Stiff (320 GPa) and tough
Good thermal and electrical conductor
Thermal shock and fatigue resistant
Oxidation resistant (in air up to 1400°C).
Low friction
AFOSR-MURI
Functionally Graded Hybrid Composites
Powder Mixing
Cold Pressing
Sintering at 1400 OC – 4 hrs
Sintered Ti2AlC
Sintering of Ti2AlC CeramicsPorosity of Ti2AlC samples after sintering at
1400°C for 4 hrs Under 96% H2, 4%Ar
Porosity due to pressure-less sintering
AFOSR-MURI
Functionally Graded Hybrid Composites
Oxidation of Ti2AlC
Oxide Layer
XRD and EDS analysis on the oxidized surfaces
show formation of mainly protective Al2O3 with
some traces on TiO2 on the surface, which
subsequently controls further oxidation
Oxidation kinetics of the self-healing protective oxide on ceramic
Ti2AlC
Oxidation in air
1200°C 72 hrs
Al
C
O
Ti
EDS Map 0
200
400
600
800
1000
1200
1400
20 30 40 50 60In
ten
sit
y (
a.u
.)
2Theta
0
500
1000
1500
2000
2500
20 30 40 50 60
Inte
nsi
ty (
a.u
.)
2Theta
TiO2
Ti3AlC2
Ti2AlC
TiC
Al2O3
Oxide Surface
0
300
600
900
1200
1500
20 30 40 50 60
In
ten
sit
y (
a.u
.)
2Theta
0
500
1000
1500
2000
2500
20 30 40 50 60
Inte
nsi
ty (
a.u
.)
2Theta
TiO2
Ti3AlC2
Ti2AlC
TiC
Al2O3
Oxide layer after slight surface
grinding
TiO2
Ti3AlC2
Ti2AlC
TiC
Al2O3
TiO2
Ti3AlC2
Ti2AlC
TiC
Al2O3
AFOSR-MURI
Functionally Graded Hybrid Composites
500 mm
100% Ti2AlC100% Ti
Graded Ti – Ti2AlC Composite
Sintered at
1000OC for
4 hours
* The color figure is optical
image, and the grayscale
figures are BSE
AFOSR-MURI
Functionally Graded Hybrid Composites
Processing Porous MAX Phase
PreformsTi2AlC-35%
Porous
Disadvantages of processing porous MAX
samples without pore formers:
• Small pore size.
• Low green body strength of the samples
sintered at lower temperatures.
AFOSR-MURI
Functionally Graded Hybrid Composites
Highly Reflective TBCof Nano-Porous Aluminum Oxide
M∞
x
Emission and reflection
Thermal
radiation from
hot gas
Blunt body
Bow shock
Th
erm
ally
gro
wn
oxid
e
Bo
nd
co
at
Functionally
graded material
Incident
radiation
Convection
Absorption
Reflection and
emission
Conduction
Ceramic
coating
Transmission
Multi-layer coating to increase
reflectivity TBC
Supersonic
flow
High radiative and convective heat flux on high speed airplane structures
Thermal barrier coating (TBC) with high reflectivity and low thermal
conductivity protects the base structure
AFOSR-MURI
Functionally Graded Hybrid Composites
Ni50Ti50 - Ti3SiC2 or Ti2AlC Composite
Ni50Ti50
Interface ~20 mm
Ti₃SiC₂
controlling the interface thickness
Ti₃SiC₂
Ni50Ti50
Interface ~50 mm
Ti2AlC
4
5
6
7
8
9
Interface ~20 mm0
5
10
15
20
Hardness(GPa)
Interface
NiTi
Ti3SiC2 1
2
3
4710
1316
19
AFOSR-MURI
Functionally Graded Hybrid Composites
Polyimid Based
Actively Cooled
MATERIALS
High Temperature
Polymer Matrix Composites
PROCESSING & CHARACTERIZATION
Ounaies, Sottos, White
MODELING
Geubelle, Ochoa
AFOSR-MURI
Functionally Graded Hybrid Composites
Ti-Polyimide Adhesion
Joining GCMeC and PMC: Focus on Titanium and
Polyimide as a first step
In order to achieve favorable adhesion the following parameters
are investigated with SLS tests
Cure cycle of polyimide
Surface treatment of Ti
Substrate Length = 4” (100.16mm)
Substrate
Thickness =
0.063” (1.6mm)
Overlap Length =
1” (2.54mm)
Adhesive Thickness =
10-30 μm
AFOSR-MURI
Functionally Graded Hybrid Composites
Curing Effect on SLS Results
Cure Cycle Max Load /
Area
Standard 409.4 psi
Short B-Stage 334.4 psi
Long B-Stage 254.6 psi
•Standard cure was chosen as curing method.
•B-Stage cure can be used to minimize thermal residual stresses.
0
200
400
600
800
1000
1200
1400
1600
1800
2000
0.000 0.050 0.100 0.150 0.200 0.250
Fo
rce (
N)
Displacement (mm)
Standard Cure - B
5 hour) D
12 hour) A
AFOSR-MURI
Functionally Graded Hybrid Composites
Etching Effect on SLS Results
The acid etching increased the maximum tensile force
that an SLS sample could sustain before failing.
0
500
1000
1500
2000
2500
3000
3500
4000
4500
0.000 0.100 0.200 0.300 0.400 0.500 0.600
Fo
rce (
N)
Displacement (mm)
0 min. Acid Etch
30 min. Acid Etch1 hour Acid Etch
0
100
200
300
400
500
600
700
800
900
1000
0 minutes 30 minutes 1 hour 6 hourA
vera
ge M
ax S
tress (
psi)
AFOSR-MURI
Functionally Graded Hybrid Composites
AC-PMC
Sacrificial fibers in red integrated within the 3D preform weave
are removed during post-cure to form microvascular networks
Active cooling is provided by coolant flow through embedded
network
Concept of Active Cooling
AFOSR-MURI
Functionally Graded Hybrid Composites
Evacuated Microchannel
Solid Fiber
Development of SF Prototypes
Embedding Fibers Fiber Evacuation
1-D Specimen Mold
2-D Specimen Mold
Shell Wall of Evacuated Microchannel
100%
Evacu
atio
n
Curing Process
1-D and 2-D molds for
embedding sacrificial fibers
Fiber evacuation by two step
heating at 220°C (12 hrs) and
250°C (2 hrs) in vacuum
Material System
EPON 828/EPIKURE 300
Ratio { 100 : 22.7 }
Room temperature
curing for 24 hours
followed by curing for
90 mins at 82°C and
90 mins at 150°C
Chloroform can clean residue in the channels
AFOSR-MURI
Functionally Graded Hybrid Composites
3-D Woven Composite Prototype
with embedded microchannels
a) 3-D woven glass fiber mat containing sacrificial PLA fibers (pink)
a) Optical image of evacuated microchannels partially filled with
fluid (blue) (scale bar = 5 mm)
a) MicroCT image showing 3D microstructure of embedded
microchannels in a 3D woven composite (scale bar = 10 mm)
AFOSR-MURI
Functionally Graded Hybrid Composites
Analysis Tools
FEM Solution +
Genetic Algorithms (NSGA-II)
conduction
qm.
→
convection
Objective functions:
Maximum solid temperature
Void volume fraction
Pressure drop
Constraint:
Connected networks
Fluid temperature
Analysis Options:
Constant inflow rate
Constant power
Constant inflow rate design sample
Constant power design sample
Design of Micro channels
AFOSR-MURI
Functionally Graded Hybrid Composites
Impact of Cooling
AFOSR-MURI
Functionally Graded Hybrid Composites
FUNCTIONAL INTEGRATION
PROCESSING & CHARACTERIZATION
Chang, Lafdi, Lagoudas, Seidel,
MODELING
Chang, Lagoudas, Ochoa, Seidel, Whitcomb
SHM Network
Sensors
Interfaces
AFOSR-MURI
Functionally Graded Hybrid Composites
High Temp In-Situ SHM/NDE
Development of high temperature sensors and sensor networks (maximum
temperature 1000°C)
Manufacturing of hybrid composites (IM7 or IM6) integrated with our sensor
network (maximum temperatures 300°C)
Diagnostics
Develop a sensor network that can be fabricated at the micro-scale
and be expanded to the macro-scale and that can stand working
temperatures up to 1000C
+-+ ++--
AFOSR-MURI
Functionally Graded Hybrid Composites
Diagnostics
Input Signal Output SignalSimulation
Wave propagation simulation using
SEM
Adhesive layer
PZT
Modeling of PZT and adhesive layer
Future steps: Test panels to examine signals at elevated temperatures (below
maximum temperature that the network can stand)
AFOSR-MURI
Functionally Graded Hybrid Composites
Developing HT Sensors
With proper tolerance factors, perovskite structures around
morphortropic phase boundary can exhibit both high Tc and high
piezoelectric properties.
(1-x) BiScO3 – x PbTiO3 (x~0.63), which has a relatively high
piezoelectric coefficient and high thermal depoling resistance, can be a
good candidate for the SHM sensor network.
Use screen printer to fabricate thin (10~100 μm) BSPT high Tc
piezoelectric sensors
Control the grains/domains of these thin BSPT sensors
AFOSR-MURI
Functionally Graded Hybrid Composites
ABO3
High Piezoelectric Effect :
Perovskite Structure
Perovskite Tolerance Factor
of ABO3:
(1-x) ABO3-(x) PbTiO3
Another morphortropic
phase boundary (MPB) A
O B
ri : ionic radius of atom i
Perovskite structures with composition
around MPB exhibit high piezoelectric
properties!
AFOSR-MURI
Functionally Graded Hybrid Composites
Thermal Depoling Test
Fabricated ultrasonic sensors BS-PT (x=0.63) and compared with PZT.
All samples were measured at room temperature after a 2-hour exposure at specific
set temperatures.
AFOSR-MURI
Functionally Graded Hybrid Composites
CNT Based Fuzzy Interface
6mm
Ceramics
Metal
Composite
Aligned CNT
Fuzzy Fiber
SHM
Curly CNT
AFOSR-MURI
Functionally Graded Hybrid Composites
Sensor Development: Fuzzy Fiber
Conductivity changes
Strain, damage
CNTinclude viscoelastic effects and
damping frequency response
CVD CNT grown on
glass & carbon fiber
AFOSR-MURI
Functionally Graded Hybrid Composites
Wedge RVE for Glass-CNT Fiber
wedge of the full volume
apply a combination of
periodic and symmetry
boundary conditions
Obtain effective properties
to compare with those
acquired by multi-layer
composite cylinder method.
AFOSR-MURI
Functionally Graded Hybrid Composites
CNT on T650-8H Fabric LayerFracture Toughness
Fabricated laminates
with fuzzy midplane
Conducted DCB tests
Improvement is 2X
over traditional (w/o FF)
AFOSR-MURI
Functionally Graded Hybrid Composites
CNT grown on Ti
AFOSR-MURI
Functionally Graded Hybrid Composites
CNT - Thermal Impedance Study the effect of thermal contact resistance on heat transfer
capability and the effectiveness of CNT as thermal interface materials.
CVD on quartz-- aligned CNTs with
thickness ranging from several micrometers
to about 200 um with a narrow diameter
distribution around 10 nm
AFOSR-MURI
Functionally Graded Hybrid Composites
Damping & Modulus of Ti2AlCOberst Beam Method
62
Almost doubles the damping
Determined material and
damping properties of Ti2AIC on
an Al substrate (ASTM Standard E756-05)
estimated static Young’s
modulus of 5.52 GPa
loss factor of 0.0349
AFOSR-MURI
Functionally Graded Hybrid Composites
MULTI-SCALE
STRUCTURAL RESPONSE
CHARACTERIZATION
Goulbourne, Inman, Lafdi, Ochoa, Lagoudas
MODELING
Inman, Whitcomb, Lagoudas, Reddy, Cizmas,
Ochoa
AFOSR-MURI
Functionally Graded Hybrid Composites
3-D X-ray Tomography & FEA
Obtain microstructure
images
Porous NiTi
GCMeC
Translate into FE mesh
Study of failure of metal-ceramic composite with
detailed consideration of microstructure
Ti-Ti2AlC composite
(2D SEM image)
Porous SMA
(3D CT image)
finite element analysis of
representative volume elements
of metal-ceramic composites
under tension, compression and
shear loading
AFOSR-MURI
Functionally Graded Hybrid Composites
Simulation of Ceramic Phase with SMA
Porous NiTi images were used as a base
Pores changed to be ceramic content
Some pores along the edges were not
converted
Mesh is created directly from image voxels
• Linear, 8-node elements
Each voxel is 9.8μm 0
50
100
150
200
250
300
350
400
450
0 0.01 0.02 0.03 0.04 0.05 0.06
Stre
ss (M
Pa)
Strain ε (%)
20:1 Small
15:1 Small
20:1 Large
15:1 Large
AFOSR-MURI
Functionally Graded Hybrid Composites
Employing a cubic RVE containing a tetrakaidecahedral cell or a 4-strut reinforcing sub-unit:
Using variational bounding theoremsmodified micromechanics results and FEM Validated by comparing with each other Applied to al matrix with alumina reinforcing phase
-
MICROMECHANICS MODELS FOR GCMEC
Interpenetrating Phase Composite
1.12E+11
1.22E+11
1.32E+11
1.42E+11
1.52E+11
1.62E+11
1.72E+11
1.82E+11
0 0.05 0.1 0.15 0.2 0.25 0.3
Volume Fraction
Eff
ective
Yo
un
g's
Mo
du
lus
Voigt
Reuss
FEM-Unit cell
FEM-Ey of four
strut modelFEM-Ex of four
strut modelHS upper bound
1HS lower bound
1Tuchinskii upper
boundTuchinskii lower
boundshear lag model
AFOSR-MURI
Functionally Graded Hybrid Composites
Simpleware Mesh from
Synthesized μCT Data
Synthesized μCT slices of plain
weave textile
Simpleware mesh using upcoming
mesh decimation algorithm
Typical hex mesh
of plain weave unit cell
(in-house code)
AFOSR-MURI
Functionally Graded Hybrid Composites
Oxidation Progression through
Plain-Weave Composite
GoalsPrediction of oxidation progression
Precursor to predicting mechanical response of an
oxidized configuration
AFOSR-MURI
Functionally Graded Hybrid Composites
Integrally woven stringer-stiffened panel
Microstructure
Macroscopic deformationmodes
Local failure analysis
Material or structural redesign
Micromechanics
Structural analysis
Effective properties
Macro elements
Integrated Multiscale FE Analysis
AFOSR-MURI
Functionally Graded Hybrid Composites
Impact Response of Novel Materials
SEM Image of
Ti2AlC
Fragment
AFOSR-MURI
Functionally Graded Hybrid Composites
Impact and DIC Measurements
2.5 3 3.5 4 4.5 5 5.5
x 10-3
0
500
Conta
ct
Forc
e (
N)
time (s)
shot_04 Impactor Contact Force Trace, Muzzle Velocity = 13.8566 m/s
2.5 3 3.5 4 4.5 5 5.5
x 10-3
0
5Z
Dis
p (
mm
)
Contact Force
Displacement
Force and displacement data during impact
via accelerometer [Impactor velocity: 14 m/s]
AFOSR-MURI
Functionally Graded Hybrid Composites
Impact Loading
Multilayer Polymer Plates
PC/TPU/PMMA samples were instrumented
with piezoelectric transducers, then
impacted at progressively increasing speeds
using gas gun. Impedance measurements
were taken before and after each impact
AFOSR-MURI
Functionally Graded Hybrid Composites
Measuring Damage from
Consistent Force Impacts
Successive
Impacts
Increasing
Damage
Impact 1
Number of Spars 4
Max Spar-Spar Length 0.8 "
Radial Diameter -
Impact 2
Number of Spars 5
Max Spar-Spar Length 0.8 "
Radial Diameter 0.137”
Impact 3
Number of Spars 5
Max Spar-Spar Length 0.8 "
Radial Diameter 0.141"
Impact 4
Number of Spars 5
Max Spar-Spar Length 0.9"
Radial Diameter 0.171"
Crack
Characteristics
8 m/s, cracking, no delamination
8 m/s, cracking, delamination
8 m/s, cracking and
delamination growth
AFOSR-MURI
Functionally Graded Hybrid Composites
High Order Finite Elements of
Spectral/hp Type
Finite element approximation of variable u in two dimensions
e
1
ˆ in,,,
m
j
j
e
jhp yxuyxu
-1 -0.5 0 0.5 1-0.5
0
0.5
1
Multi-dimensional interpolation functions constructed from tensor
products of 1-D Lagrange interpolation functions of spectral type
AFOSR-MURI
Functionally Graded Hybrid Composites
Least-Squares Finite Element
Solution of FSI Problem
Results at t=0.25, 0.50 and 0.70 (a) velocity component vx (b) velocity component vy
AFOSR-MURI
Functionally Graded Hybrid Composites
Aerothermoelastic Response
Developed, verified and validated an efficient structural nonlinear beam
model that retains all cubic nonlinear terms
Predict the structural stresses and deformations that functionally-graded
hybrid composite (FGHC) materials would be subjected to due to
aerodynamics, inertial and thermal loads.
First eight frequencies of a 45 deg sweep wing
computed with Abaqus and the nonlinear beam model.
AFOSR-MURI
Functionally Graded Hybrid Composites
Collaborations In Place
AFRL/RX Hybrids Branch Jeff Baur
Benchmark IM7-BMI 5250 Panels for common tests
Fiber Metal Laminates interface-joining study
HT Polymer guidance
AFRL/RB Vehicles Directorate Thomas Eason
Structural –Thermal Loads
Boeing Gail Hahn, Kay Blohowiak
TiGr, HT Polymer-metal adhesion MOA signed
AFOSR-MURI
Functionally Graded Hybrid Composites
DURIP: ACQUISITION OF MECHANICALLY
ASSISTED SPARK PLASMA SINTERING SYSTEM
FOR ADVANCED RESEARCH AND EDUCATION ON
FUNCTIONALLY GRADED HYBRID MATERIALS
Investigators:
Dimitris Lagoudas, Aerospace Engineering, Texas A&M University
Miladin Radovic, Mechanical Engineering, Texas A&M University
Ibrahim Karaman, Mechanical Engineering, Texas A&M University
Zoubeida Ounaies, Aerospace Engineering, Texas A&M University
AFOSR-MURI
Functionally Graded Hybrid Composites
SPARK PLASMA SINTERING SYSTEM
The spark plasma sintering (SPS) is a low pressure
sintering method . During the process, electrical
energy pulses is applied to the gaps between powder
materials and effectively utilizes the high energy of
the spark plasma generated momentarily between
powder particles by spark discharges to achieve
thermal and field diffusion. The pulsed current causes
melting and evaporation of surface of powder
particles without heating the particle interior.
Advantages:
- Better control of microstructure and grain growth
rate while obtaining a near theoretical density than
other sintering techniques.
- Sintering time is very short, in the order of few
seconds.
- Lower sintering temperature!
AFOSR-MURI
Functionally Graded Hybrid Composites
SPARK PLASMA SINTERING SYSTEM
Impact on the MURI project:
• Rapid synthesis of GCMeC;
• Better control of phase distribution in GCMeC;
• Lowering the co-sintering temperature of GCMeC;
• Gradual phase transition in GCMeC;
• Homogeneous and fully dense GCMeC;
• SPS has been proven to be successful technique for
co-sintering composites and functionally graded
composites with MAX phases.
Ti2AlC-TiAl composite
fabricated by SPS1.
1Y. M. Luo, P. Wei, S. Q. Li, R. G. Wang, J. Q. Li, Materials Science and Engineering A, 2003, 345, 99.
2 B. Mei, o. Y. Miya, Materials Chemistry and Physics 2002, 75, 291.
Ti2AlC-TiAl composite
fabricated by SPS2.
AFOSR-MURI
Functionally Graded Hybrid Composites
SPARK PLASMA SINTERING SYSTEM
Current status:
• Negotiations with 3 major SPS
manufactures are finished;
• Texas A&M provided adequate space –
plans for infrastructure needed for SPS in
progress.
• Expected installation – 6-7 months after
funds become available.
AFOSR-MURI
Functionally Graded Hybrid Composites
THANK YOU!