Affiliated Researchers: Metal Additive Manufacturing
Affiliates are Penn Staters who have a connection to or an interest in the work of the Institute of Energy and the Environment.
Displaying 10 search result(s) for Metal Additive Manufacturing.
Timothy Simpson
Paul Morrow Professor in Engineering Design and Manufacturing, Mechanical Engineering
Top research keywords: Product Family, 3D Printers, Design, Manufacturing, Students
Edward (Ted) Reutzel
Senior Research Associate, Applied Research Laboratory (ARL)
Top research keywords: Additive Manufacturing, Powder Bed Fusion, Directed Energy Deposition, Ti-6Al-4V (Ti64), Powder Bed Fusion Additive Manufacturing
Guha Manogharan
Associate Professor, Mechanical Engineering
Top research keywords: Additive Manufacturing, Three Dimensional Printing, Ti-6Al-4V (Ti64), Metal Additive Manufacturing, Binder Jetting
Kathryn W. Jablokow
Professor, Engineering Division (Great Valley)
Top research keywords: Students, Engineering Design, Design, Engineers, Engineering Education
Amrita Basak
Assistant Professor, Mechanical Engineering
Top research keywords: Epitaxy, Scanning Laser Epitaxy, Three Dimensional Printing, Powder Bed Fusion, Additive Manufacturing
Soundar Kumara
Allen E. Pearce and Allen M. Pearce Professor, Marcus Department of Industrial and Manufacturing Engineering
Top research keywords: Supply Chain, Multi Agent Systems, Product Family, Multi-agent Systems, Product Family Design
Stephen Lynch
Professor, Mechanical Engineering
Top research keywords: Turbine, Heat Transfer, Cooling Hole, Endwall, Additive Manufacturing
Yi Wang
Research Professor, Materials Science and Engineering
Top research keywords: Phonons, Phonon, Thermodynamic Properties, Thermodynamic Property, Thermodynamics
Gregory Huff
Professor, School of Electrical Engineering and Computer Science
Top research keywords: Antenna, Fluidics, Microstrip Patch Antenna, Reconfiguration, Beamforming
Wesley Reinhart
Assistant Professor in Materials Science and Engineering, Materials Science and Engineering
Top research keywords: Learning System, Machine Learning, Nanochannel, Unsupervised Learning, Inverse Design