Jack Beuth
Professor, Mechanical Engineering
Faculty Co-Director, Next Manufacturing Center
Courtesy Appointment, Materials Science and Engineering
Jack Beuth received his Ph.D. in Engineering Sciences from Harvard in 1992. He has been a member of the Carnegie Mellon faculty since that time. Beuth’s research is in the areas of manufacturing, solid mechanics, and fracture mechanics, with over 75 publications across the areas of additive manufacturing, interfacial mechanics, and thin film mechanics. His current research includes modeling of additive manufacturing processes and micro-scale
Beuth was a recipient of the 1998 Ralph R. Teetor Educational Award. In 2000, he was awarded George Tallman and Florence Barrett Ladd Development Professorship in Mechanical Engineering. In 2005, Beuth was co-recipient of the ASME Curriculum Innovation Award. In 2009, Beuth received the Benjamin Richard Teare Teaching Award from the College of Engineering.
Beuth’s modeling research in additive manufacturing has led to the development of “process map” approaches for mapping out the role of principal process variables on process characteristics such as melt pool geometry, microstructure, and residual stress. By characterizing AM processes over their full process variable range, Beuth’s research is allowing unique insights into process control, expansion of process operating ranges, and unique comparisons of AM processes operating in very different regions of processing space.
Process Mapping for Additive Manufacturing
Education
1992 Ph.D., Engineering Sciences, Harvard University
1989 MS, Engineering Sciences, Harvard University
1987 MS, Engineering Science and Mechanics, Virginia Institute of Technology
1984 BS, Engineering Science and Mechanics, Virginia Institute of Technology
Research Interests
Media mentions
CMU Engineering
Mission accomplished
CMU engineers and scientists undertook more than 45 research projects to develop artificial intelligence approaches to enable the use of metal additive manufacturing for the U.S. Army.
AM Media
Beuth 3D prints critical component of nuclear power plant for Westinghouse
MechE’s Jack Beuth was featured on AM Media’s Cool Parts Show demonstrating how spacer grids comprising 38 separate pieces that are stamped, joined, and welded can now be additively manufactured using the laser powder bed fusion process.
Mechanical Engineering
Deep learning alternative to monitoring LPBF
Novel deep learning pipeline provides a low-cost, scalable alternative for manufacturers looking to monitor LPBF melt pools.
CMU Engineering
AI accelerates process design for 3D printing metal alloys
Researchers use AI and high-speed in-situ imaging to optimize process parameters for 3D printing metal alloys.
CMU Engineering
Scaling in-situ process monitoring to qualify AM parts
Mechanical Engineering alumnus Luke Scime uses artificial intelligence in the development of Peregrine, a process monitoring software stack to qualify additive manufactured parts at the U.S. national laboratories.
CMU Engineering
Accelerating adoption of additive manufacturing
Engineering alumnus Brian Fisher embodies the vision for additive manufacturing his former professor Jack Beuth helped him to see.
CMU Engineering
Additive manufacturing in focus
Researchers introduce an experimental method to measure melt pool temperature using a single commercial color camera during additive manufacturing.
CMU Engineering
CMU and CCDC ARL announce new cooperative agreement
Carnegie Mellon University (CMU) and the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory (ARL) have entered into a $3.5 million cooperative agreement that supports machine learning-enabled additive manufacturing.
Axios
Beuth quoted on 3D printing
MechE’s Jack Beuth was quoted in Axios on using 3D printing to help fight coronavirus.
ASME Essentials
Beuth talks additive manufacturing best practices
MechE and the Next Manufacturing Center’s Jack Beuth spoke with ASME Essentials about best practices in additive manufacturing.
Next Manufacturing
NextM featured at NCMS Technology Showcase
Jack Beuth and Sandra DeVincent Wolf showcased the NextManufacturing Center at the 2019 National Center for Manufacturing Sciences (NCMS) Technology Showcase at Aberdeen Proving Ground, Army Research Laboratory, Aberdeen, MD.
Beuth leads AI in Manufacturing panel
MechE’s Jack Beuth led a panel at Capitol Hill for the House Manufacturing Caucus on AI in Manufacturing, which discussed the different roles AI will play to transform all aspects of manufacturing.