Digital Platform Informed Certification of Components Derived from Advanced Manufacturing Technologies

Alex Huning, Randall Fair, Alyson Coates, Vincent Paquit, Luke Scime, Michael Russell, Kenneth Kane, Samuel Bell, Bruce Lin, Benjamin Betzler

Research output: Book/ReportCommissioned report

Abstract

The Transformational Challenge Reactor is being designed at Oak Ridge National Laboratory to demonstrate the feasibility of constructing a reactor core using advanced manufacturing technology. This technology includes additive manufacturing combined with machine learning, materials science, and data science technologies in an effort to facilitate the expansion of additive manufacturing into advanced nuclear energy systems and other applications requiring a high level of quality assurance. The Transformational Challenge Reactor is employing additive manufacturing and artificial intelligence to deliver a new approach. Beginning in FY21, the focus of the program has shifted away from demonstrating a reactor, and instead, towards delivering on four key thrust areas: (1) artificial intelligence-informed design, (2) advanced materials, (3) integrated sensing and control, and (4) the digital platform. Of these four thrust areas, the most pertinent to this report is the digital platform. The digital platform has the potential to be a key enabler for a paradigm shift in how components, those derived from advanced manufacturing technologies, are certified for use in nuclear applications. This is achieved primarily using machine learning to discover correlations from the abundance of data produced through additive manufacturing and those physical properties critical to the performance of the component.
Original languageEnglish
Place of PublicationUnited States
DOIs
StatePublished - 2021

Keywords

  • 21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS

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