RESEARCH FOCUS Jamila’s research is investigating a standardized method of creating process parameters for previously untested compositions of alloys. To aid this process, she also focuses on developing a novel test artifact to increase the throughput of 3D printed metal alloys and ease sample characterization.
RESEARCH FOCUS Alex current focus is in utilizing and optimizing electron microscopy for characterizing aluminum metal matrix composites
RESEARCH FOCUS 3D printing of Recycled Titanium alloys for Aerospace Applications.
RESEARCH FOCUS Stefan is working on the high-throughput characterization of additively manufactured soft magnetic alloys, and the specifically the Electron Beam Melting (EBM) of Permalloy. This includes the invention of a novel instrument to measure coercivity and saturation magnetization of unfinished samples, and as well as one to measure the coefficient of the thermal expansion. Through the printing […]
RESEARCH FOCUS Andrew is studying the process parameters relating to the directed energy deposition additive manufacturing of molybdenum parts. His research involves discovering strategies to enable the manufacturing of such parts in a repeatable and advantageous manner as compared to geometries produced via conventional manufacturing methods.
RESEARCH FOCUS Bhairav is working on adapting spectral imaging (SPIFI) and interferometry techniques to perform three-dimensional surface metrology on additively manufactured samples. Bhairav is also working on developing data analytics to enable artificial intelligence (A.I) to discover trends in the correlation between process parameters and surface finish.
RESEARCH FOCUS Keshav is studying Non-Destructive Evaluation technologies, focused on Additive Manufacturing applications, with the goal of developing an in-situ system to monitor the fabrication process in real time for early detection of defects.
RESEARCH FOCUS Jenny’s research background includes process planning, modeling and simulation, and design in additive manufacturing. She is currently working on developing constitutive models, numerical simulations, and other methodology for the production of optimized 4D structures composed of shape memory alloys.
RESEARCH FOCUS Michael’s research is focused on using AI/ML tools, specifically generative modeling techniques, to efficiently explore the space of material structures and properties. Current projects include creating new algorithms to generate highly accurate polycrystalline microstructures, solving inverse materials problems with Bayesian methods, active learning, and learning in data spaces with incomplete observations.
RESEARCH FOCUS Rupesh is working on physics-based and data-driven model development for SMA alloy, manufacturing, and part design, including developing high throughput methodology and surrogate models to accelerate SMA developments. He is currently developing a crystal mechanics-based framework to predict material response of SMA and material characterisation using nano-indentation methods. The scope of the project […]