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Researcher
- Chris Tyler
- Justin West
- Kyle Gluesenkamp
- Ritin Mathews
- Yong Chae Lim
- Zhili Feng
- Bo Shen
- Brian Post
- David Olvera Trejo
- J.R. R Matheson
- Jaydeep Karandikar
- Jian Chen
- Melanie Moses-DeBusk Debusk
- Rangasayee Kannan
- Scott Smith
- Wei Zhang
- Adam Stevens
- Akash Jag Prasad
- Brian Gibson
- Bryan Lim
- Calen Kimmell
- Dali Wang
- Dhruba Deka
- Emma Betters
- Greg Corson
- James Manley
- Jesse Heineman
- Jiheon Jun
- John Potter
- Josh B Harbin
- Navin Kumar
- Peeyush Nandwana
- Priyanshi Agrawal
- Roger G Miller
- Ryan Dehoff
- Sarah Graham
- Sreshtha Sinha Majumdar
- Sudarsanam Babu
- Tomas Grejtak
- Tony L Schmitz
- Tugba Turnaoglu
- Vladimir Orlyanchik
- William Peter
- Xiaobing Liu
- Yeonshil Park
- Yifeng Hu
- Yiyu Wang
- Yukinori Yamamoto

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 invention describes a configuration of dishwasher using thermoelectric heat pumps that can accomplish energy savings and enhanced drying performance.

This invention aims to develop a new feature for a heat pump water heater having a forced flow condenser, coupled with a mixing valve, and a new feature to maximize the first hour rating and provide quick response to hot water demand, comparable to a typical gas water heater.&

Develop an innovative refrigerator having a thermoelectric cooler cascaded with a regular refrigerator compression system. the TE cooler dedicatedly controls the temperature in a freezer compartment.

This invention is directed to a machine leaning methodology to quantify the association of a set of input variables to a set of output variables, specifically for the one-to-many scenarios in which the output exhibits a range of variations under the same replicated input condi

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

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.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.