Vincent Paquit Section Head, Secure & Digital Manufacturing Contact 865.241.1789 | PAQUITVC@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 Report on diagnostic and predictive capabilities of the TCR digital platform Report on Properties and Microstructure of 3D Printed Inc-718 Digital Platform Informed Certification of Components Derived from Advanced Manufacturing Technologies High Resolution X-Ray CT Reconstruction of Additively Manufactured Metal Parts using Generative Adversarial Network-based Domain Adaptation in AI-CT In-situ Digital Image Correlation and thermal monitoring in Directed Energy Deposition Additive Manufacturing TCR Data Management Plan Beam Hardening Artifact Reduction in X-Ray CT Reconstruction of 3D Printed Metal Parts Leveraging Deep Learning and CAD Model... Development of Monitoring Techniques for Binderjet Additive Manufacturing of Silicon Carbide Structures Geometry-independent microstructure optimization for electron beam powder bed fusion additive manufacturing 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 Layer-Wise Anomaly Detection and Classification for Powder Bed Additive Manufacturing Processes: A Machine-Agnostic Algorithm for Real-Time Pixel-Wise Semantic Segmentation Correlations of cracking with scan strategy and build geometry in electron beam powder bed additive manufacturing Investigating the effect of metal powder recycling in Electron beam Powder Bed Fusion using process log data Monitoring for additive manufacturing technologies: Report on progress, achievements and limitations of monitoring techniques Viability of data analytics to ascertain component performance for additive manufacturing X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR... Approach to qualification using E-PBF in-situ process monitoring in Ti-6Al-4V Innovative Method for Enhancing Carbon Fibers Dispersion in Wet-Laid Nonwovens Correlations Between Powder Feedstock Quality, In Situ Porosity Detection, and Fatigue Behavior of Ti-6Al-4V Fabricated by Po... Characterization of topology optimized Ti-6Al-4V components using electron beam powder bed fusion Falcon: Visual Analysis of Large, Irregularly Sampled, and Multivariate Time Series Data in Additive Manufacturing... Application of Data Analytics to Additive Manufacturing... Pagination First page « First Previous page ‹â¶Ä¹ Page 1 Current page 2 Page 3 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Energy Science and Technology Directorate Manufacturing Science Division Secure and Digital Manufacturing Section
