Michael A Sprayberry R&D Associate Staff Member Contact sprayberryma@ornl.gov Publications A Data-Driven Framework for Direct Local Tensile Property Prediction of Laser Powder Bed Fusion Parts Journal: Materials November, 2023 Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction... Journal: npj Computational Materials May, 2023 Processing of Tungsten Through Electron Beam Melting... Journal: Journal of Nuclear Materials November, 2021 Report on diagnostic and predictive capabilities of the TCR digital platform... September, 2021 Development of Monitoring Techniques for Binderjet Additive Manufacturing of Silicon Carbide Structures October, 2020 Pagination Current page 1 Page 2 Next page ›› Last page Last » View All Key Links ORCID 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
A Data-Driven Framework for Direct Local Tensile Property Prediction of Laser Powder Bed Fusion Parts Journal: Materials November, 2023
Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction... Journal: npj Computational Materials May, 2023
Processing of Tungsten Through Electron Beam Melting... Journal: Journal of Nuclear Materials November, 2021
Development of Monitoring Techniques for Binderjet Additive Manufacturing of Silicon Carbide Structures October, 2020