This research is a focal point of the Cote Research Lab, based upon the group's expertise in modeling and characterizing powder materials. Utilizing advanced thermodynamic and kinetic modeling coupled with many experimental techniques - including electron microscopy, ion polishing, and powder rheology, to name a few - we are able to gain insights into the inner workings of nearly any powder material on a chemical and physical basis.

Cold spray processing involves research efforts across domains. A couple areas we focus on are robotic path planning and powder recyclability. Watch the video to learn about our cold spray research!

We employ computational thermodynamic modeling to investigate solidification of parts made by high-deposition rate Directed Energy Deposition (DED) Wire-arc metal additive manufacturing, linking processing parameters during manufacturing to properties and performance of critical steel parts.

The Cote Research Lab work embodies the Structure-Processing-Properties-Performance tetrahedron in all of our research. One example is in our Through-Process Models for predicting the properties of advanced additive manufacturing techniques (e.g. cold spray and wire arc AM) where we simulate the microstructure of the feedstock material and follow it's properties and performance as it undergoes various processing techniques.

This research is based on an interdisciplinary effort between the Cote Research Group and Professor Elke Rundensteiner's data science research group. We use advanced data science techniques to shed light on new insights into materials science and advanced manufacturing. These techniques have provided eye-opening observations that would have been overlooked without this perspective.

Computational thermodynamic, kinetic, and solidification modeling provide a foundation and guidance for nearly every research area of our group. It provides valuable insight into the material behavior and properties.