Jack Beuth

Jack Beuth is a Professor of Mechanical Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. He has been on the faculty since 1992 and leads the NextManufacturing Center, focusing on additive manufacturing (AM) research. His work emphasizes process mapping for AM, material science, and machine learning integration in manufacturing processes. Key affiliations include the Engineering Research Accelerator and the Manufacturing Futures Institute.

Education:

• Ph.D. in Engineering Sciences, Harvard University (1992)
• M.S. in Engineering Sciences, Harvard University (1989)
• M.S. in Engineering Science and Mechanics, Virginia Tech (1987)
• B.S. in Engineering Science and Mechanics, Virginia Tech (1984)

Research Interests:

• Additive Manufacturing (process modeling, material characterization, and defect analysis)
• Melt pool dynamics and thermal modeling
• Machine learning for process optimization and quality control
• Advanced materials for AM (e.g., Ti-6Al-4V, Inconel 718)

His research has led to innovations like 'process map' approaches for AM, enabling better control over variables such as melt pool geometry and microstructure.

Awards and Recognition:

• Ralph R. Teetor Educational Award (1998)
• George Tallman and Florence Barrett Ladd Development Professorship (2000)
• ASME Curriculum Innovation Award (2005)
• Benjamin Richard Teare Teaching Award (2009)

Grants and Collaborations:

• $3.5M cooperative agreement with the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory (ARL) for AI-driven AM process optimization.
• Collaborations with Westinghouse Electric Company on 3D-printed nuclear components, such as spacer grids for pressurized water reactors.

Labs and Teams:

• NextManufacturing Center: A research hub for AM innovation, emphasizing industrial partnerships and applied research.
• Beuth’s Additive Lab: Specializes in melt pool analysis, process mapping, and material behavior under AM conditions.