Dr. Lyle Levine is a physicist in the Materials Measurement Laboratory of the National Institute ofStandards and Technology (NIST) in the USA, where he leads most of NIST’s materials research in additive manufacturing (AM) of metals. With a dual emphasis on world-leading, quantitative measurements and microstructure evolution modeling, this Additive Manufacturing of MetalsProject provides experimental input and validation testing for both high-fidelity AM models and reduced order models for AM engineering design. Dr. Levine also founded and leads AM-Bench, an international organization that provides AM benchmark measurements for the AM community. With active participation from more than 80 organizations around the world AM-Bench is the world's leading provider for AM benchmark data. Dr. Levine also leads the experimental validation effort for the AM application, ExaAM, for the Exascale Computing Project. ExaAM is a collaboration between Oak Ridge National Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, and NIST. In addition to his work on additive manufacturing, Dr.Levine founded the continuing Dislocations Conference Series and is highly active in synchrotron X-ray science, where he co-develops and uses world-leading microbeam diffraction and small-angle scattering methods for studying material microstructures. Dr. Levine received his B.S. in physics from Caltech and his Ph.D. in physics from Washington University in St. Louis. He is an adjunct professor of Mechanical Engineering at both Northwestern University and the University ofSouthern California, where he advises graduate students. Dr. Levine is a recipient of NIST’s highest honor for innovations in measurement science, the Allen V. Astin Measurement Science Award; theU.S. Department of Commerce Silver Medal, the department’s second highest honor; and the ASM2018 Henry Marion Howe Medal for his work on AM heat treatments.
Abstract
Additive manufacturing (AM) of metal components is a rapidly growing advanced manufacturing paradigm that promises unparalleled flexibility in the production of parts with complex geometries. However, the extreme processing conditions createposition-dependent microstructures, residual stresses, and properties that complicatecomponent and process certification. Quantitative modeling of these characteristics is critical, but model validation requires rigorous measurements including comprehensive insitu monitoring of the melt pool behavior, along with microstructure, residual stress, and property characterizations. To be useful, such benchmark measurements must be accepted broadly by the international AM community so that meaningful comparisons can be made. I will describe our establishment of the Additive Manufacturing Benchmark Test Series (AM-Bench), a continuing series of highly controlled benchmark tests for additive manufacturing that modelers around the world are now using to test their AM simulations.
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