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Research |
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Research
focus:
Computational materials processing, particularly the application of numerical
transport phenomena and optimization in welding and additive manufacturing.
Our models compute the most important factors that affect metallurgical
product quality such as temperature and velocity fields, cooling rates and
solidification parameters. Uniqueness and examples of contributions: Specially structured
for integration with genetic algorithms and other search engines, these
simulations can be made bi-directional, greatly expanding their utility by
switching traditional input and output variables, tailoring product
attributes, optimizing production variables, reducing defects and improving
product quality. (i)
The first rigorous numerical model of heat transfer and fluid flow in 3D
printing for reducing distortion and other common defects, customizing
textures, selecting materials and reducing rejection rates of parts. (ii) The first
comprehensive numerical model for the calculation of laser fired
aluminum-silicon contact geometry and dopant concentration fields during
selective emitter formation in silicon based photovoltaic devices. (iii) The first
transport phenomena and genetic algorithm based bi-directional models to
tailor weld geometry and cooling rate. (iv) A novel
experimental technique, now widely adopted, for estimating temperatures from
vapor composition during laser welding. (v) The first rigorous
model to understand the role of similar and dissimilar concentrations of surface active elements in steels. (vi) The first
three-dimensional visco-plastic-flow and heat
transfer model for friction stir welding to understand the role of process
variables and tool durability. Publications Citations
Models Collaborations Keynote & named lectures Recent
papers YouTube lectures 1 2 |
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