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Spinodal Decomposition

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Seminar

SPINODAL DECOMPOSITION
Made by
Rudrang Chauhan
PRN- 347
HISTORY OF SPINODAL DECOMPOSITION
• 1937- earliest observation were made where it was noted that diffusivities becomes negative inside spinodal
regime, Bradley reported first experimental evidence.

• 1940’s- Daniel and Lipson did extensive studies on Cu-Ni-Fe alloy systems. There are compositional
modulations specifically along 100 direction in these alloys with wavelength of about 100 angstroms.

• 1943-44- Becker and Dellinger gave their postulations.

• 1951- regular solution model and discrete lattice based theories, 100 angstrom wavelength is expected under
certain circumstances given by Hilliard.

• 1961- Cahn developed the continuum model based on Hilliard’s model which gave rise to Cahn-Hilliard
equation.
WHAT IS SPINODAL DECOMPOSITION

A spinodal decomposition occurs when one phase spontaneously (without nucleation) separates
into two phases.

Decomposition occurs in the absence of nucleation because certain fluctuations in the system
reduce the free energy.

When the two phases emerge in approximately equal proportion (each occupying about the same
volume or area), they form characteristic intertwined structures that gradually coarsen .The
dynamics of spinodal decomposition are commonly modelled using the Cahn–Hilliard equation.

It is fundamentally different from nucleation. Where is nucleation large fluctuation are needed for
phase transformation, here only small fluctuations can start transformation.

Nucleation proceeds with grain growth and happens at discrete locations in the system, while here
there is uniform and instant transformation throughout the region under consideration. Figure 1: Dynamics of spinodal
Spinodal decomposition occurs when a homogenous phase becomes thermodynamically unstable. decomposition.
An unstable phase lies at a maximum in free energy.
WHAT IS SPINODAL DECOMPOSITION

• In contrast, nucleation and growth occurs when a homogenous phase becomes metastable. that is, another new phase becomes lower in
free energy but the homogenous phase remains at a local minimum in free energy, and so is resistant to small fluctuations
• Nucleation proceeds with grain growth and happens at discrete locations in the system, while here there is uniform and instant
transformation throughout the region under consideration.
• Spinodal decomposition occurs when a homogenous phase becomes thermodynamically unstable. an unstable phase lies at a maximum
in free energy. in contrast, nucleation and growth occurs when a homogenous phase becomes metastable. that is, another new phase
becomes lower in free energy but the homogenous phase remains at a local minimum in free energy, and so is resistant to small
fluctuations.

• Spinodal decomposition involves uphill diffusion, whereas diffusion is always down a concentration gradient for nucleation and growth .
UNDERSTANDING SPINODAL DECOMPOSITION
Suppose that a very small fluctuation occurs
Consider a part of the free energy and consider what happens to the free energy
curve where the curvature is negative. for the small fluctuation:

Suppose that a material is manufactured with a composition


Xo that is function of some partial coordinate Z.
UNDERSTANDING SPINODAL TRANSFORMATION

Apparently, the free-energy charge is negative for an arbitrarily small fluctuation in composition such that one part of the system gets more concentrated
at the expense of another. The system is inherently unstable and phase separation will proceed as illustrated:

This process is called spinodal decomposition and it occurs spontaneously when there is compositional modulation in miscibility gap.
UNDERSTANDING SPINODAL TRANSFORMATION

Consider the part of the curve where the curvature is positive This kinetic information is shown graphically in the
but inside the miscibility gap (miscibility gap is another way of phase diagram below.
saying the two-phase region).

Figure 2: Free energy Vs composition phase diagram


showing miscibility gap. Figure 3: Temperature vs composition phase diagram showing miscibility gap
SOME RESEARCH RESULTS
Explaining figure 4 and 5: Three-dimensional evolution of spinodally decomposed liquid (polymer). The modelling is provided using a "hyperbolic" model for phase separation.
Snapshots for the decomposed (blue) phase are shown for various computational times. 3D modelling of spinodal decomposition in Fe-45-Cr alloys is shown on the image in right.
EVOLUTION OF SPINODAL STRUCTURES
Explanation for figure 6 and 7: The analysis of spinodal decomposition in the Zn 1−x CdxO ternary alloy was carried out by means of the nonlinear Cahn Hilliard equation. The morphological patterns
for the ternary alloys with dierent Cd content (x = 5, 10, 50%) were experimentally obtained using the semi-implicit Fourier-spectral method. The microstructure having a form of bicontinuous worm-
like network is evolved with the progress of aging. Below figure also shows spinodal decomposition in alloys.
RECENT RESEARCH AREAS

Spinodal decomposition in Nanocrystalline alloys:


The most lucrative aspect for spinodal decomposition is
the low barrier for transformation pathway. There is
negligence of grain boundary and other defects effect on
the process. Nevertheless, in nanocrystalline alloys, with
a high population of grain boundaries with diverse
characters, the structurally heterogeneous landscape can
greatly influence the chemical decomposition behavior.
The research conducted on Pt-11Au alloy proved that
grain boundaries posses their own miscibility gaps and Figure 8 : 3D simulation results of temporal
evolution of solute redistribution revealing
profound effect on spinodal decomposition. density dependent segregation and interfacial
spinodal behaviour.
RECENT RESEARCH AREAS

Polymeric materials:
Studies of bicontinuous structures
developed via spinodal decomposition
have been a research theme for those
dealing with binary mixtures of molecular
fluids and polymer blends. A great deal of
information on the time evolution of the
phase-separated structures has been
obtained. Characterization techniques like
laser scanning confocal microscopy
(LSCM), X-ray computed tomography (X-
Ray CT) and 3D NMR have been used for Figure 9 : Evolution of structures seen in 3D by reconstructing 2d NMR
accurate results. images of PMMA rich and PS-Br-rich domains observed.
REFERENCE

• https://pf.jitin.xyzspinodal-decompostion-in-3d/
• https://en.wikipedia.org/wiki/spinodal_decomposition
• http://pruffle.mit.edu/3.00/lecture_32_web/node3.html
• http://www.lnsm.eu/modelling/spinodal
• https://wxiong.weebly.com/microstructure-design.htm
• https://www.researchgate.net/figure/morphological-patterns-during-the-spinodal-decomposition-and-the-subsequent-coarsening_fig2_
269313717
• https://doi.org/10.1016/j.actamat.2021.117054
• https://doi.org/10.1016/s0066-4103(10)70002-8
Thanks for your kind attention

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