Michael Sprayberry R&D Associate Staff Member Contact SPRAYBERRYMA@ORNL.GOV All Publications Multimodal Defect Imaging of Pure Tungsten Components Fabricated via Electron Beam Powder Bed Fusion ASSESSMENT AND USAGE OF IN-SITU MONITORING DATA FOR ASME PART QUALIFICATION Beyond Binary: Automated PLC Memory Forensics through RGB Image Analysis and Deep Learning A Data-Driven Framework for Direct Local Tensile Property Prediction of Laser Powder Bed Fusion Parts Process Optimization... Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction Processing of Tungsten Through Electron Beam Melting Report on diagnostic and predictive capabilities of the TCR digital platform Report on Progress of Monitoring Techniques for Laser Powder Bed Additive Manufacturing of Metal Structures Report on Progress of correlation of in-situ and ex-situ data and the use of artificial intelligence to predict defects Development of Monitoring Techniques for Binderjet Additive Manufacturing of Silicon Carbide Structures Key Links Organizations Energy Science and Technology Directorate Electrification and Energy Infrastructures Division Energy Sensing, Analytics and Communications Section Manufacturing Science Division Secure and Digital Manufacturing Section Manufacturing Systems Analytics Group
