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Multiscale modeling of
room temperature formability of Al and Mg alloys
The
strength and ductility of lightweight Al and Mg alloys is controlled
primarily by the interaction of solutes with dislocations. Solutes
strengthen materials by impeding dislocation motion, but also give
rise to undesirable transient material behavior that can lead to
instabilities and reduce ductility. In principle, alloy compositions
may be tuned to retain strength, while eliminating undesirable
behavior. During the first phase of the CRL, we have developed a
multi-scale model that can predict the influence of composition on
flow strength and ductility of Aluminum alloys. This approach will
now be used to search for Al alloy compositions with optimal
properties. In addition, we plan to extend this framework to the
more challenging hexagonal Mg alloy system, focusing in particular on
understanding the complex dislocation core structures in these
materials and their influence on flow behavior. Simulations will be
complemented by TEM studies of the evolution of dislocation and twin
structures in Mg. Once a predictive model is available, it will be
used to identify Mg alloy compositions that optimize their
ductility.
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Evolution of
microstructure and constitutive behavior during preform annealing
Pre-form annealing was developed by General Motors
to form stampings of complex geometry from existing lightweight
materials. In this process, an aluminum or magnesium sheet is formed
to an initial, “perform” shape at ambient temperature. The partially
formed panel is then annealed to recover formability. Following this
anneal, the panel is formed to a final shape. This approach has
enabled complex parts to be stamped in both Al and Mg alloys. To
implement and optimize this process in production, it will be
necessary to understand the influence of pre-strain and annealing
conditions on the microstructure and constitutive behavior of the
alloy after the annealing step. To this end, we plan to adapt
microstructure-based simulations developed during the first phase of
the CRL to predict the evolution of microstructure and constitutive
behavior of Al and Mg alloy sheets during the pre-form annealing
process. Predictions will be validated experimentally, using data
from ongoing experimental studies at India Science Lab. The
simulations will be used to optimize the pre-form annealing process.
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Microstructure
based modeling of Stainless Steels
Ferritic stainless steels have the potential to reduce the
manufacturing costs of bipolar plates in hydrogen fuel cells.
Initial channel
forming tests, however, indicate that the ferritic SS sheet is prone
to develop localized thinning instabilities during the stamping
process.
Since the stainless steel sheet is thin, and contains of
the order of ten grains through the sheet thickness,
anisotropic plastic deformation within individual grains plays an
important role in the initiation and growth of localized necking.
Preliminary modeling results suggest that, at this scale, the
deformation of the sheet is strongly influenced by the arrangement
and orientation of the individual grains, which offers a potential
approach to improving ductility. To this end, we plan use polycrystal
finite element models to predict how sheet thickness and controllable
microstructural features such as grain size, shape, and orientation
affect the initiation and growth of thinning instabilities during
forming of stainless steel sheets. Following experimental
validation, the models will be used to search for microstructures
that delay or prevent thinning instabilities.
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