William Halsey R&D Associate Staff Member Contact . . | HALSEYWH@ORNL.GOV All Publications Localized defect detection from spatially mapped, in-situ process data with machine learning A stochastic scan strategy for grain structure control in complex geometries using electron beam powder bed fusion Geometry-independent microstructure optimization for electron beam powder bed fusion additive manufacturing Falcon: Visual Analysis of Large, Irregularly Sampled, and Multivariate Time Series Data in Additive Manufacturing... Review of In Situ Sensing for Directed Energy Deposition for Industrial Part Quality Assessment FY23 Multi-Dimensional Data Correlation Platform: Unified Software Architecture for AMMT Data Management and Processing FY 2024 Multidimensional Data Correlation Platform: Unified Software Architecture For Advanced Materials And Manufacturing Technologies Data Management And Processing Leveraging the digital thread for physics-based prediction of microstructure heterogeneity in additively manufactured parts A Data-Driven Framework for Direct Local Tensile Property Prediction of Laser Powder Bed Fusion Parts Application of Data Science and Engineering 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 Report on Progress of Monitoring Techniques for Laser Powder Bed Additive Manufacturing of Metal Structures Key Links Curriculum Vitae Organizations Energy Science and Technology Directorate Electrification and Energy Infrastructures Division Energy Sensing, Analytics and Communications Section Multimodal Sensor Analytics Group User Facilities Manufacturing Demonstration Facility
