Scott Smith Section Head, Precision Manufacturing and Machining Contact smithss@ornl.gov | 865.341.0021 All Publications Residual stress accumulation in large-scale Ti-6Al-4V wire-arc additive manufacturing Process planning for hybrid manufacturing using additive friction stir deposition... Cutting force estimation from machine learning and physics-inspired data-driven models utilizing accelerometer measurements... A framework for hybrid manufacturing cost minimization and preform design Evaluation of automated stability testing in machining through closed-loop control and Bayesian machine learning... Process window estimation in manufacturing through Entropy-Sigma active learning... America’s Cutting Edge CNC machining and metrology training... America’s Cutting Edge CNC machining and metrology training... Receptance coupling substructure analysis and chatter frequency-informed machine learning for milling stability... Bayesian optimization for inverse calibration of expensive computer models: A case study for Johnson-Cook model in machining... Joining technique for in-oven/autoclave molds manufactured by large scale polymer additive manufacturing... Improving Milling Performance on New Computer Numerical Control Machining Centers with Machining Dynamics... Logistic classification for tool life modeling in machining... Surface prediction and measurement for modulated tool path (MTP) turning Iterative hybrid manufacture of a titanium alloy component... Rethinking production of machine tool bases: Polymer additive manufacturing and concrete... Physics-guided logistic classification for tool life modeling and process parameter optimization in machining... Accelerating Large-Format Metal Additive Manufacturing: How Controls R&D is Driving Speed, Scale, and Efficiency... Mechanical Vibrations: Modeling and Measurement, 2nd Edition... Cutting force and stability for inserted cutters using structured light metrology... Milling stability identification using Bayesian machine learning... Dynamic stiffness modification by internal features in additive manufacturing... Cutting force and stability prediction for inserted cutters... Stability boundary and optimal operating parameter identification in milling using Bayesian learning... Additive Manufacturing of Internal Features for Manipulation of Structural Dynamics... Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Energy Science and Technology Directorate Manufacturing Science Division Precision Manufacturing and Machining Section
