Diagnostic and predictive capabilities of the TCR digital platform

Luke Scime, Michael Sprayberry, David Collins, Alka Singh, Chase Joslin, Ryan Duncan, Joseph Simpson, Fred List III, Keith Carver, Alex Huning, James Haley, Vincent Paquit

Research output: Book/ReportCommissioned report

Abstract

The Transformational Challenge Reactor program is leveraging additive manufacturing technologies to fabricate the nuclear components required to assemble a microreactor core. Compared with traditional manufacturing processes, additive manufacturing allows for direct observation of the interior of the component during manufacturing. This unique capability promises significant possibilities for creating a new paradigm for nuclear component qualification by leveraging in-situ process data. This report describes FY21 efforts to predict material tensile properties based on data collected during the laser powder bed fusion printing process. The primary focus of this report is the test campaign designed to generate the large quantities of training data required to implement artificial intelligence algorithms that can predict these material properties. Preliminary prediction results and a demonstration of the overall data collection, analysis, and visualization pipeline are also provided.
Original languageEnglish
Place of PublicationUnited States
DOIs
StatePublished - 2021

Keywords

  • 22 GENERAL STUDIES OF NUCLEAR REACTORS
  • 42 ENGINEERING

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