Title: Nanocomposite coating materials offer strength toughness based on a combination of:
1RVE (Representative Volume Element)
N C S TATE U N I V ERS I TY
Micromechanical Modeling of Nanotribological
Failure of Crystalline-Amorphous Nanocomposites
in Extreme Environments J. D. Pearson, W. M.
Ashmawi, and M.A. Zikry North Carolina State
University
Results
Computational Approach
Background
Case II 40 Au
Case III 40 DLC
- Nanocomposite coating materials offer strength
toughness based on a combination of - Crystalline phases
- Amorphous phases
- Extreme changes in
- Temperature
- Strain Rate
- Environment
- Require one system over ranges
- Optimal Coating design
- - Low coefficient of friction - Low wear rate
- Finite Element Thermal and Mechanical model
commensurate with prediction of failure - Brittle
- Ductile
- Material wear and failure criterion in Au and
MoS2 phases - Gold material treated as J2 plasticity with
kinematic hardening - YSZ, DLC, MoS2 elastic
- Quasi-static, Contact elements, Periodic B.C.,
Thermal and Mechanical loadings
- Homogenized modulus, Aggregate model
- Random material distributions
- Equal size of each material in each distribution
Uniform Pressure
Case I 25 All Materials
ROM (Rule of Mixtures)
Uniform Pressure
Challenge
Horizontal Displacement
For an optimal coating How and What to combine?
6.8E-7
5.3E-7
3.8E-7
2.3E-7
0.8E-7
6.1E-7
4.6E-7
3.0E-7
1.5E-7
0
Element Wear and Failure
DLC
YSZ
GOLD
MoS2
- Plastic deformation in Au and MoS2 at free
surface based on above criterion after indentor
travel across and return
- Grain Size
- Grain Spacing
- Concentration Gradients
- Residual Stress Effects
- Thermal Annealing
- Deposition conditions
- Crystalline
- Amorphous
- Constituent Elements (Gold, Carbon, MoS2,
ZrO2-Y2O3) - Tungsten, Titanium
- Carbides, Nitrides, Oxides
- HDLC
COATING MODEL - MECHANICAL
Case III 40 DLC
Case II 40 Au
Formation of Transfer film from
elements exceeding yield criterion
Steel
Case i Aggregate
MoS2
Case IIIi
Case IIi
YSZ
Case iiDistributed
GOLD
Case Ii
Case Iii
Case IIIii
Case IIii
DLC
- Sliding indentation of Rigid indentor
- Travel across and return over surface at 1m/s
with linear increase until final indentation of
.0012 m - Random distribution of material into identical
grain size and spacing (i) or varying grain size
and spacing (ii)
- Large gradientsbetween grains
- Maximum stressdependant upon material beneath
indentor
Objectives
-.51E6
-.141E9
-.11E9
-.71E8
-.36E8
-.12E9
-.89E8
-.53E8
-.18E8
.17E8
- Major Goal
- Determine metal alloy coating response with known
composition and microstructure under - ? Temperature ? Atmosphere/Humidity
- ? Pressure ? Strain Rate
- Understand wear mechanisms and failure modes
inherent to each coating based on composition and
loading - Simulate and predict wear and friction
coefficients - Model both microstructure composition
corresponding changes (chameleon adaptive
behavior) with environment - At Low Temp, In Vacuum or Dry Air, MoS2 changes
from amorphous to hexagonal - At Low Temp, In Humid Air, Diamond Like Carbon
(DLC matrix, sp3) changes from Graphite Like
(sp2) - At High Temp, Amorphous/poorly crystalline gold
on the surface
Conclusions
- Crystalline and ductile phases needed for
toughness - Distributions can be optimized by grading the
material through determining effective local
properties - Design guidelines can be tailored for optimized
coating behavior - ROM consistently estimates a higher homogenized
modulus compared to FEA RVE - Large gradients in stress between different
materials - Thermal strains and residual stresses have a
significant role on coating behavior under
loading - GB sliding and GB deformations need to be
delineated for ductile phases
-.33E9
-.26E9
-.18E9
-.10E9
-.27E8
-.30E9
-.22E9
-.14E9
-.65E8
.11E8
COATING MODEL - THERMAL
Effective Stress, ?Eff , under 0.0006 m final
indentation
Case I i
Case II i
Case III i
Case III ii
Case I ii
Case II ii
0 lt ? lt .5 Mpa
5 lt ? lt 10
60 lt ? lt 119
263 lt ? lt 307
.5 lt ? lt 5
10 lt ? lt 60
119 lt ? lt 263
307 lt ? lt 351