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Researcher
- Yong Chae Lim
- Rangasayee Kannan
- Ryan Dehoff
- Vincent Paquit
- Zhili Feng
- Adam Stevens
- Akash Jag Prasad
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- Brian Post
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- Clay Leach
- Costas Tsouris
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- Jiheon Jun
- Junghyun Bae
- Louise G Evans
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- Sudarsanam Babu
- Tomas Grejtak
- Vladimir Orlyanchik
- Wei Zhang
- William Peter
- Yiyu Wang
- Yukinori Yamamoto
- Zackary Snow

A finite element approach integrated with a novel constitute model to predict phase change, residual stresses and part deformation.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

The lattice collimator places a grid of shielding material in front of a radiation detector to reduce the effect of background from surrounding materials and to enhance the RPM sensitivity to point sources rather than distributed sources that are commonly associated with Natur

A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.

Sensing of additive manufacturing processes promises to facilitate detailed quality inspection at scales that have seldom been seen in traditional manufacturing processes.

The technologies provide a coating method to produce corrosion resistant and electrically conductive coating layer on metallic bipolar plates for hydrogen fuel cell and hydrogen electrolyzer applications.

Welding high temperature and/or high strength materials for aerospace or automobile manufacturing is challenging.