As additive manufacturing, or 3D printing, becomes more commonplace, researchers and industry are seeking to mitigate the distortions and stresses inherent in fabricating these complex geometries. The proposal, “Novel Computational Approaches to Address Key Design Optimization Issues for Metal Additive Manufacturing,” is a three-year, $350,000 GOALI (Grant Opportunities for Academic Liaison with Industry) grant funded by the NSF’s Division of Civil, Mechanical and Manufacturing Innovation.
The team includes Principal Investigator Albert To, and co-PIs Sangyeop Lee and Stephen Ludwick. Aerotech, Inc. will partner with Pitt by providing designs and evaluation. The group’s research is an extension of previous funding from the Research for Advanced Manufacturing in Pennsylvania program (RAMP).
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