Jack Beuth

About

Jack Beuth is a Professor of Mechanical Engineering at Carnegie Mellon University, where he has been a faculty member since receiving his Ph.D. in Engineering Sciences from Harvard University in 1992. His research focuses on manufacturing, solid mechanics, and fracture mechanics, with over 75 publications in areas such as additive manufacturing, interfacial mechanics, and thin film mechanics. Beuth's current work includes modeling additive manufacturing processes and micro-scale mechanics, developing process map approaches to understand the influence of process variables on characteristics like melt pool geometry, microstructure, and residual stress. His modeling research has provided insights into process control, expanding operational ranges, and comparing different additive manufacturing processes.

Research topics

• Materials science
• Metallurgy
• Composite material
• Optics
• Computer Science
• Nanotechnology

Selected publications

• Defect structure process maps for laser powder bed fusion additive manufacturing

  Additive manufacturing · 2020 · 320 citations

  Accurate detection, characterization, and prediction of defects has great potential for immediate impact in the production of fully-dense and defect free metal additive manufacturing (AM) builds. Accordingly, this paper presents Defect Structure Process Maps (DSPMs) as a means of quantifying the role of porosity as an exemplary defect structure in powder bed printed materials. Synchrotron-based micro-computed tomography (μSXCT) was used to demonstrate that metal AM defects follow predictable tre…

  DOI

• A study of microstructure and cracking behavior of H13 tool steel produced by laser powder bed fusion using single-tracks, multi-track pads, and 3D cubes

  Journal of Materials Processing Technology · 2020 · 73 citations

  This study investigated laser powder bed fusion (LPBF) additive manufacturing of H13 tool steel to identify how laser power (P) and scan speed (V) influenced melt pool geometry, microstructure, and susceptibility to cracking. Sequential studies from tracks, pads to 3D cubes were performed. Tracks and pads were made by laser scan on H13 build plates with and without powder addition. P-V windows were identified where keyholing, balling and under-melt occurred. The only change in melt pool geometry…

  DOI

• Use of Non-Spherical Hydride-Dehydride (HDH) Powder in Powder Bed Fusion Additive Manufacturing

  Additive manufacturing · 2020 · 50 citations

  DOI

• Generative Lattice Units with 3D Diffusion for Inverse Design: GLU3D

  Advanced Functional Materials · 2024-06-06 · 29 citations

  articleOpen access

  Abstract Architected materials, exhibiting unique mechanical properties derived from their designs, have seen significant growth due to the design versatility and cost‐effectiveness offered by additive manufacturing. While finite element methods accurately evaluate the mechanical response of these structures, identifying new designs exhibiting specific mechanical properties remains challenging, often requiring computationally expensive simulations and design expertise. This underscores the need…

  PublisherOA PDFDOI

• Inexpensive high fidelity melt pool models in additive manufacturing using generative deep diffusion

  Materials & Design · 2024-07-27 · 18 citations

  articleOpen access

  Defects in Laser Powder Bed Fusion (L-PBF) parts often result from the meso-scale dynamics of the molten alloy near the laser, known as the melt pool. Experimental in-situ monitoring of the three-dimensional melt pool physical fields is challenging, due to the short length and time scales involved in the process. Multi-physics simulation methods can describe the three-dimensional dynamics of the melt pool, but are computationally expensive at the mesh refinement required for accurate predictions…

  PublisherDOI

Recent grants

• GOALI/Collaborative Research: Process Development across Alloy Systems for Powder Bed Additive Manufacturing

  NSF · $110k · 2013–2016

• GOALI/Collaborative Research: Integrated Microstructure and Melt Pool Dimension Control for Electron Beam Additive Manufacturing

  NSF · $360k · 2011–2015

• Nanomechanical Material Size Effects Using an In-Situ, On-Chip Test Platform

  NSF · $439k · 2010–2015

Frequent coauthors

• Sneha Prabha Narra

  19 shared

• Jonathan A. Malen

  17 shared

• Amir Barati Farimani

  17 shared

• Anthony D. Rollett

  Carnegie Mellon University

  14 shared

• Francis Ogoke

  14 shared

• Nathan Klingbeil

  Wright State University

  13 shared

• Cristina H. Amon

  University of Toronto

  11 shared

• Guadalupe Quirarte

  Carnegie Mellon University

  10 shared

Education

• Ph.D., Engineering Sciences

  Harvard University

  1992

• M.S., Engineering Sciences

  Harvard University

  1989

• M.S., Engineering Science and Mechanics

  Virginia Institute of Technology

  1987

• B.S., Engineering Science and Mechanics

  Virginia Institute of Technology

  1984

Awards & honors

• Ralph R. Teetor Educational Award (1998)
• George Tallman and Florence Barrett Ladd Development Profess…
• ASME Curriculum Innovation Award (2005)
• Benjamin Richard Teare Teaching Award from the College of En…

Similar researchers at Carnegie Mellon University

• Alan McGaugheyh-53
• Philip LeDuch-50
• Maarten de Boerh-40