The structure of cast metals

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Metals
Conservation
Summer
Institute
The structure of cast metals
Ralph E. Napolitano
Department of Materials Science & Engineering
Iowa State University
Ames, Iowa
Metals Conservation Summer Institute
June 1, 2005
IOWA STATE UNIVERSITY
Materials Science & Engineering
Let’s do an experiment.
Let’s heat a pure material so that it is a liquid
at a uniform temperature, let it cool uniformly,
and measure the temperature vs time.
T (°C)
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Tm
Freezing
begins
Freezing
ends
t (sec)
If we cool very slowly so that
the system is always at
equilibrium, then freezing will
occur isothermally at Tm.
Let’s do an experiment.
Realistically, we do not observe
an isothermal arrest.
T (°C)
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Tm
∆T
t (sec)
Even at the same temperature, the
liquid phase “contains” more heat than
the solid.
This heat Is liberated upon freezing.
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Driving force and the importance of rate
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Driving force and the importance of rate
In our freezing
example, the heat
may be liberated
too quickly to be
liberated
efficiently.
Mother Nature tries
to optimize this
efficiency using any
and all means
available.
You are all very
familiar with one
consequence of
such optimization…
Still
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How do metals freeze?
Metals freeze in much the same way that water freezes into the familiar snowflakes.
The Rasmussen & Libbrecht Collection
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Goals for this lecture
I. Fundamentals of solidification
II. The structure of cast metals
III. A brief history of casting technology
IV. Modern casting techniques
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How do metals freeze?
Here we compare the snowflake structures to a transparent organic metal-analog.
M.E. Glicksman, NASA-IDGE, 1997.
The Rasmussen & Libbrecht Collection
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Perspective
What is so special about
the solid-liquid interface
in metals?
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Early observation of dendrites
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Early observation of dendrites
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Critical Issues
The critical issues are essentially the same for all (most)
phase transformations
Thermodynamics
Phase stability (phase diagrams)
The energy of interfaces
Quantification of driving forces
Thermal and chemical partitioning
Kinetics
The diffusion of heat and solute
The kinetics of atomistic processes
Nucleation kinetics
Interface kinetics
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Critical Issues
The objective for today is to look at the evolution of cast
microstructures from what may be a new viewpoint.
Competition
Selection
Instability (dynamic)
Local equilibrium
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Natural selection
If you want to study genetic – would you use antelope?
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Natural selection
Fruit flies
Atoms vibrate at ~10000 GHz,
- quite a prolific fruit fly!
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Competition and “natural selection”
In nature, everything is a competition, with many
phenomena occurring simultaneously.
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Dynamic Instability
BUT – This is only a side view.
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Side view
Front section view
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Dynamic Instability
Top
view
Side
view
Front
section
view
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Dynamic Instability
Small fluctuations
or “perturbations” are
NOT reinforced. Instead,
they are counteracted,
and the ball is returned to
the original path.
Top
view
A stable process
Side
view
Front
section
view
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Dynamic Instability
What happens
in this case?
The path might be straight.
Side
view
Top
view
Front
section
view
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Dynamic Instability
Any small “perturbations”
would be reinforced, and
the path would diverge.
Top
view
An unstable process
Side
view
Front
section
view
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Lesson learned
During phase transformations (actually always)
- The system relentlessly seeks the “best” path.
- Perturbations are ubiquitous.
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A simple (but useful) example
The evolution of a grain structure illustrates instability,
competition, and selection.
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A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
The size distribution is governed by the competition between nucleation
and growth. Both depend on T and alloy variables in different ways.
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Competition within a single grain
During the growth of any
given grain, every
location is competing
with every other
location.
Which ones “win”
and which ones
“lose” depends on
interfacial properties
and how the crystal
interacts with its
surroundings.
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A simple (but useful) example
The evolution of a grain structure illustrates instability,
competition, and selection.
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Institute
A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
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A simple example
The evolution of a grain structure:
The size distribution is governed by the competition between nucleation
and growth. Both depend on T and alloy variables in different ways.
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Solidification morphologies
It is this competition within a growing grain that ultimately gives rise to
most common solidification morphologies and casting microstructures.
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Dendritic grains
For dendritic solidification, the final
branch spacing sets the scale of
microsegregation and porosity.
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A closer look
Let’s look at
such a location
in more detail.
S
L
Let’s assume (momenarily) that the two phases are
in equilibrium, so that the interface is not moving.
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At equilibrium
Typically, L-S
interfaces in metals
are atomistically
rough.
S
L
In addition, the
interface
continuously
fluctuates with time.
EAM for pure Al (J.R. Morris)
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Interface motion
q
S
L
q
q
q
This heat must be conducted away from the interface.
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Equiaxed vs directional growth
q
q
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Equiaxed vs directional growth
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Partitioning of solute
In an alloy, suppose we extract some heat, reducing
the temperature and moving the interface.
S
C0
L
L
L
S
CL
C0
CS
CS
CL
The excess solute is rejected into the liquid. Like the heat,
this solute must be conducted away from the interface.
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Partioning of solute
Let’s now examine a
full cooling path.
L
T
S
C
C
distance
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Partioning of solute
z
C
Distance (z)
L
T
S
z
Region of constitutional
supercooling.
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Instability criterion
T
mGC > G
z
Region of constitutional
supercooling.
The driving force at the
tips of the perturbations is
greater than behind the
tips. The interface is
morphologically
unstable.
What is really happening here?
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Common growth modes
Constrained (directional) growth gives rise to certain typical solidification
morphologies.
liquidus
G
solidus
Planar
Cellular
Dendritic
Cooling rate is given by GV, and the local solidification time is ∆T’/GV. This is the
time available for dendrite arm coarsening and therefore controls the final segregation
length scale in dendritic growth.
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Morphological instability
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Morphological instability
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Dendritic structure
What is the length of the
dendritic region (Mushy Zone)?
How is this related to shrinkage
porosity and hot tearing?
When does branching stop?
What is the final spacing?
What solute distribution is
observed in the casting?
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Columnar to equiaxed transition
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Branching limit
When distance becomes on
the order of D/V, there is no
longer enough distance for
the solute gradient to cause
instability.
We model such a “small
system” by assuming perfect
mixing in the liquid and no
mixing in the solid phase.
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The Gulliver-Scheil model
L
S
S
L
This nonequilibrium
solute distribution
results in a higher
amount of eutectic
constituent than
predicted by the phase
diagram.
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Examples of microstructure
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Eutectic solidification
β
α
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Eutectic solidification
Arrows to illustrate solute diffusion…
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Eutectic solidification
Morphological selection
Ω=Iv(Pe)
∆T = aλV + b/λ
∆Td α RV
∆Td α λV
Observed behavior
V
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* Interfacial properties,
γ and µ, play a critical
role in this selection.
λ
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Summary of selection
Partitioning of heat
Extrinsic
Contributors
Partitioning of solute
Diffusion of heat
Diffusion of solute
Fluid convection
Nucleation of new phases
(in Solid or Liquid)
Interface response
Liquid
Solid
Interface Stiffness
&
Interface Mobility
Local interfacial
Conditions
(T,C,r,n)
(G,Gc,V,K)
Intrinsic
Behavior
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Examples of simulations
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Dendritic grains
3-D alloy dendrite
J. A. Warren and W. L. George
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Prediction of grain structures
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Casting simulations
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Break time?
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Cast microstructures
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Dendrites in bronze
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Dendrites in brass
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Iron–carbon phase diagram
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Gray cast iron
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White cast iron
This can be heat treated to yield malleable cast iron.
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Nodular (ductile) cast iron
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What can we measure in a cast microstructure?
How can we measure it?
Primary dendrite spacing
Visual / Optical microscopy / SEM
Secondary dendrite spacing
Optical microscopy / SEM
Dendritic chemical segregation profile
EPMA / SEM-EDS-WDS
Grain size
Visual / Optical microscopy
Shrinkage porosity
Optical microscopy
Percent of secondary phases
Optical microscopy
Composition of secondary phases
SEM / TEM / EDS / WDS / EPMA
Dendritic/Equiaxed transition
Visual / Optical microscopy
What can it tell us about the casting conditions?
Chemical composition, Growth velocity, thermal gradient, Pouring temperature,
mold materials, impurities, etc.
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Diverse solidification morphologies
All from the same composition of Al-Si.
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