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Have you ever seen those commercials that tout a miracle
substance that can be used for anything from race car bodies
to delicate medical probes? If so, you probably felt a little
suckered when the voice-over revealed that the super material was
plain old plastic. But in truth, plastics, or more accurately
polymers, really do offer a tremendous range in physical
properties that make them perfect candidates for many of life's
little (and big) conveniences and necessities. If those polymers
are combined with other materials, they can form composites that
offer even greater versatility and are of vital importance to
many hi-tech manufacturing fields. However, designing such
materials from a purely experimental, trial-and-error perspective
can be prohibitively time consuming and expensive. As in many
other fields of scientific endeavor, materials scientists have
turned to computational modeling to overcome these obstacles.
An example of this methodology can be seen in a collaboration between the DoD and researchers at Clark Atlanta University (CAU). This fledgling project is headed by Dr. David Veazie at CAU, with the goal of providing a set of computational and analytical protocols to DoD researchers for the efficient selection and screening of materials candidates, all without ever stepping foot in the lab. Dr. Veazie currently has an extensive and ever-growing database of experimentally-determined composites properties. By utilizing these properties in an extrapolation scheme, it should be possible to make intelligent decisions about the viability of certain combinations of materials in composites design. The result would be a streamlined method of choosing materials for rigorous laboratory and field tests. Such use of existing property databases and computational methodolgies are becoming the rule rather than the exception. There are now large research efforts in place that focus on nothing more than the efficient use of information which is already available. Over the years, much effort has been repeated over and over again, simply because researchers needed a certain piece of information but had no idea that someone Go To Page: 1 2
The copyright of the article Mining Plastic in Scientific Computing is owned by . Permission to republish Mining Plastic in print or online must be granted by the author in writing.
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