Applied Research
Center, Thomas
Jefferson Lab
Old Dominion
University
Mechanical
Aerospaceand
Engineering
Department and
of Mechanical
Aerospace Department
Engineering
Materials Science & Engineering
Thin films fabrication and Nano Scale
Mech. & Struct. Properties Nanoindentation
Nano Scale Modeling & Simulation
Activation analysis / Dislocation plasticity
Nanopositioners for Electron Microscopy, Precision Machining
and Precision Motion
Old Dominion University
Department of Mechanical and Aerospace Engineering
Faculty
A.A. Elmustafa (PI)
Mechanical & Aerospace Eng. (ODU)
Applied Research Center-Jefferson Lab
Graduate students
Current:
1- Dave Stegall (Ph.D)
2- Abdullah Mamun (Ph.D)
3- Cody Wright (Ph.D)
4- Mahzad Bastaninejad (Ph.D)
5- Donald Muffet (M.S)
Former:
1- Saptarshi Mandal (Thomas Jefferson Lab)
2- Justin Rice (US Navy, Dahlgren)
3- Sandeep Thubee (Somotomo Drive Trains)
4- Phani Kumar
Collaborators
Matt Poelker Jefferson Lab
1- Donald Stone (University of Wisconsin-Madison)
2- Claretta Sullivan (Eastern Virginia Medical School)
3- Matt Poelker (Jefferson Lab)
4- Rol Johnson (Muons Inc.)
5- Winston Soboyejo (Princeton University)
6- Stan Woodard (NASA Langley Research Center)
7- Gene Hour (MAE ODU)
8- Deji Dumren (MAE ODU)
9- Hani Elayed-Ali (ECE ODU)
10- Helmut Baumgart (ECE ODU)
11- Gon Namkoong (ECE ODU)
2
Old Dominion University
Department of Mechanical and Aerospace Engineering
• Thin films fabrication
Solder joints in microelectronics SAC (Sn-Ag-Cu) and In-Sn alloys
Metal and alloys (Al, Ni, Ag, -brass,Ni-Cu, 7075 Al)
• Nanomechanical/structural properties
–
–
–
–
–
–
High-k metal gates (HfO2, Al2O3, AlN, GaN)
Superconductivity/accelerators (NbN)
Solar cells (ZnO)
Satellites (Sb2Te3)
Communications (VO2)
Surgical instruments, dental implants, Titanium alloys in jet engines (V)
• Structural/mechanical properties of biological materials
– Nanomechanical structural properties of E. coli
– Nanomechanical structural properties of human costal cartilage
– Structural/mechanical properties of prostate cancer cells
• ISE / indentation creep / activation volume / SFE correlations
• Field emission in accelerator physics and breakdown characterization in
RF cavities
• FSW
Old Dominion University
Department of Mechanical and Aerospace Engineering
Spin polarized electron beams via photoemission
from a photocathode biased at high voltage
Proton
Electron
Neutron
Old Dominion University
Department of Mechanical and Aerospace Engineering
Materials science and engineering
Modeling and simulation
Historical background

Nano Scale Modeling & Simulation Lab ARC-JLAB (2006)
We started the Nanoscale Modeling and Simulation group at the ARC-JLAB with five
computers running SUSE LINUX and one SUSE LINUX computer as a FLEXLm license server
for commercial software ABAQUS. The group has performed simulations of strain rate
sensitivity of nanoindentation creep, simulation of the effect of pile-up and sink-ins during
nanoindentation creep, scaling of area with depth during nanoindentation, and a numerical
study of the plunge phase in FSW using ABAQUS.

Then, we moved the simulations software to ODU ZORKA clusters

Finally, TURING
5
Old Dominion University
Department of Mechanical and Aerospace Engineering
Nano Creep Modeling at Turing
Modeling and simulation bulk-thin films
Slip tolerance = 0.005
Friction coefficient = 0.0
22.5
6
Old Dominion University
Department of Mechanical and Aerospace Engineering

Nano Creep Modeling at Turing (Viscoplasticity)
Pre-processing (Input file)


Genmesh and Genmeshmpc developed by our group using
PYTHON (axisymmetric elastic-plastic von Mises materials. 4-node
CAX4H isoparametric quadrilateral elements (defined in Abaqus)
Step 1 (1 second)


Slip tolerance = 0.005
Friction coefficient = 0.0
22.5
Step 2 (1 second)


Penetrate the sample with displacement

Adjusting the time increment

Calibrating the reaction force

(NanoCreep is a load control experiment
Penetrate the sample with load
Step 3 (2 seconds)

Materials relaxes

Step 4 (1 second)


Retracting the tip from the sample
Total Turing simulation time (1 day – 4 months depending on type of
7
problem)
Old Dominion University
Department of Mechanical and Aerospace Engineering

Nano Creep Modeling at Turing (Viscoplasticity)
Post-processing Data analysis (ODB file)



History Output
Step 1
 Reaction force RF2
 Spatial displacement U2
 Total area in contact CAREA
Step 2


Processing the data using mkcreep in GENPLOT to calculate the
strain rate sensitivity of the hardness in creep
Step 3

Generate mH/m vs. H/E*
8
Old Dominion University
Department of Mechanical and Aerospace Engineering
0.6
Results and Discussion
1.0
0.4
4
4
4
4
5
5
6
7
10
10
10
4
4
4
10
10
10
12
0.8
0.6
0.4
0.2
m
E
(GPa)
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.2
-0.52
100
200
300
400
100
200
100
100
100
200
300
100
200
300
100
200
300
100
m
H/E*
n
mH/m
Spherical
FEA
Spherical coarse mesh
o
RateCone 19.7
o
sensitive
Cone 25.3
plasticity
o
Cone 22.5 (Elmustafa et al., 2007)
Berkovich coarse mesh
Spherical (Johnson 1951)
Analytical
Conical (Johnson 1951]
solutions
0.5
0.2
0.2
0.2
0.2
0.16
0.16
0.133
0.114
0.08
0.08
0.08
0.2
0.2
0.2
0.08
0.08
0.08
0.04
0.3
0.2
25.3o
0.1
0.0
o
-3
4 5 6
8
-2
3
4 5 6
8
10
m 
E
E* 
1  2


-1
m 1
n
 R  0.2
depth
depth
depth
depth
2.0
2
H/E*
1
  ( n [( m  1) ] m ) m 1
Pm
4 a

 
E * 3  R 
10
2
a
R
A.A. Elmustafa, S. Kose, and D.S. Stone, JMR 22 4 (2007)
A.A. Elmustafa, and D.S. Stone, JMR 22 10 (2007)
D.S. Stone, J.E. Jakes, J. Puthoff, and A.A. Elmustafa, JMR 25 4 (2010)
Outstanding paper
3
m H / m
10
3
0.4
0.6
0.8
2.5
o
2
0.2
tan(cone) or a/R(sphere)
22.5
Empirical
Theory based on k', ave = variable [Elmustafa et al., 2007]
Theory based on k', ave = const.
0.0
0.0
19.7
1.5
<
=
=
=
0.1
0.2
0.4
0.5
R
R
R
R
5
-2 2
1.0
0.5
0.0
10
2
-4
5
10
-3 2
10
5
10
-1 2
5
10
0
(H / E*)/(a/R)
Y. Mohamed, D.S. Stone, and A.A. Elmustafa, Unpublished work
Old Dominion University
Department of Mechanical and Aerospace Engineering
4 sided probe nanocreep simulations
Thin films nanocreep simulations
Nanofriction and tribological coatings simulations
Friction stir welding simulations
Nanolayer composites simulations
Nanoelectronics/Microelectronics Interconnects
Contact mechanics
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1
1
1
1
2
1
3
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51
1
6
1
7
8
9
Cu
Al
6789 1
0
f
S. Mandal, J. Rice, G. Hou, K.M. Williamson, and A.A. Elmustafa, JMEPEG 22, 2013, 1558-1564
10
S. Mandal, J. Rice, and A.A. Elmustafa, J. Mater. Proc. Technol. 203, 2008, 411-419

COATING PORTOFOLIO PfC Performance Line HPfC High

CURRICULUM VITAE Bernd Simeon - Fachbereich Mathematik

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