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Newell Moser (Fed)

As a research member of the Additive Manufacturing Fatigue and Fracture Project, my current research focuses on developing computational methods to predict fracture and fatigue for metal-based additive manufacturing. My PhD dissertation was on experimental characterization and computational modeling of a sheet metal forming process known as double-sided incremental forming. Through these experiences, I have gained a background in topics related to advanced manufacturing, experimental solid mechanics, X-ray diffraction, crystallography/metallography, object-orientated programming, finite element methods, computational mechanics, constitutive modeling (emphasis on elastic-plastic relations), and fracture/fatigue.

Publications

IMPPY3D: Image Processing in Python for 3D Image Stacks

Author(s)
Newell Moser, Alexander Landauer, Orion Kafka
Image Processing in Python for 3D image stacks, or IMPPY3D, is a free and open-source software (FOSS) repository that simplifies post-processing and 3D shape

Correlating Titanium Powder Manufacturing Methods and Resultant Particle Morphologies to Microstructural Properties, Particle Flight and Impact Velocity, and Bonding and Deposition Characteristics in Cold Spray Additive Manufacturing

Author(s)
Pranav Anumandla, Carlos Faggi, Sinan Muftu, Edward Garboczi, Newell Moser, Rachel Cook, Nicholas Derimow, Ozan Ozdemir
Unlike high temperature thermal spray processes and metal additive manufacturing methods that require extensive heat treatment, native particle microstructural

Precipitation hardening of laser powder bed fusion Ti-6Al-4V

Author(s)
Nicholas Derimow, Jake Benzing, Jacob Garcia, Zachary Levin, Ping Lu, Newell Moser, Chad Beamer, Frank DelRio, Nikolas Hrabe
The laser powder bed fusion (PBF-L) additive manufacturing (AM) community has dedicated significant efforts into process optimization and control for defect
Created December 8, 2019, Updated December 8, 2022