Merging Machine Learning and TriBeam Tomography for 3D Defect Detection in an AM CoNi-Based Superalloy

Journal Article Merging Machine Learning and TriBeam Tomography for 3D Defect Detection in an AM CoNi-Based Superalloy Get access James Lamb, James Lamb University of California Santa Barbara, Materials Department, Santa Barbara, CA, United States Corresponding author: jlamb@ucsb.edu Search for other works by this author on: Oxford Academic Google Scholar McLean Echlin, McLean Echlin University of California Santa Barbara, Materials Department, Santa Barbara, CA, United States Search for other works by this author on: Oxford Academic Google Scholar Andrew Polonsky, Andrew Polonsky Sandia National Laboratories, Materials Mechanics & Tribology, Albuquerque, NM, United States Search for other works by this author on: Oxford Academic Google Scholar Remco Geurts, Remco Geurts Thermo Fisher Scientific, Eindhoven, Netherlands Search for other works by this author on: Oxford Academic Google Scholar Kira Pusch, Kira Pusch University of California Santa Barbara, Materials Department, Santa Barbara, CA, United States Search for other works by this author on: Oxford Academic Google Scholar Evan Raeker, Evan Raeker University of California Santa Barbara, Materials Department, Santa Barbara, CA, United States Search for other works by this author on: Oxford Academic Google Scholar Aurelien Botman, Aurelien Botman Thermo Fisher Scientific, Hillsboro, OR, United States Search for other works by this author on: Oxford Academic Google Scholar Chris Torbet, Chris Torbet University of California Santa Barbara, Materials Department, Santa Barbara, CA, United States Search for other works by this author on: Oxford Academic Google Scholar Tresa Pollock Tresa Pollock University of California Santa Barbara, Materials Department, Santa Barbara, CA, United States Search for other works by this author on: Oxford Academic Google Scholar Microscopy and Microanalysis, Volume 28, Issue S1, 1 August 2022, Pages 862–863, https://doi.org/10.1017/S1431927622003828 Published: 01 August 2022