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Mathematical Modeling and Adaptive Numerical Simulation of Microstructured Materials
Colloquium| Speaker: | John Lowengrub, School of Math, U. Minnesota |
| Location: | 693 Kerr |
| Start time: | Mon, Mar 4 2002, 4:10PM |
Description
Microstructured materials, such as emulsions and polymer blends,
crystals and metallic alloys, blood and biological tissues,
are fundamental to many industrial and biomedical applications.
These diverse materials share the common feature that the microscale and
macroscale are linked. The phenomena at microscopic scale, such
as the morphological instability of crystalline precipitates and drop
deformation,
break-up and coalescence determine the microstructure and its time
evolution;
thus affecting the rheology and mechanical properties of the materials on
the macroscale.
In this talk, I will focus on mathematical and numerical modeling at the
microscale.
In particular, I will consider the quasi-steady evolution of growing
crystals in 3-d.
A re-examination of this fundamental problem in materials science reveals
that the Mullins-Sekerka
shape instability associated to volume growth of the crystal may be
suppressed by
appropriately varying the undercooling (far-field temperature) in time.
For example, in 3 dimensions,
by imposing the far-field temperature flux (rather than a temperature
condition), a class of asymptotically self-similar,
non-spherical growing crystals can be found. Simulations show that this
class of solutions is
robust with respect to perturbations and anisotropies and is
well-predicted by solutions of the
linearized equations. To simulate the problem numerically, we use a
boundary element
method with a fully adaptive surface triangulation. This enables us to
simulate
three dimensional crystals stably and accurately well into the nonlinear
regime.
Simulations of both stable and unstable crystal growth will be presented.
This work has important implications for shape control in processing
applications.
Finally, I will demonstrate how these models and numerical techniques
originally developed for
crystal growth may be adapted to also investigate the behavior of complex
fluids and biological
systems.
