Tony L Schmitz Contact schmitztl@ornl.gov All Publications Bayesian stability and force modeling for uncertain machining processes Hybrid metal additive/subtractive machine tools and applications... Milling tool wear Chatter detection in simulated machining data: a simple refined approach to vibration data Process damping identification using Bayesian learning and time domain simulation Using GANs to predict milling stability from limited data Process planning for hybrid manufacturing using additive friction stir deposition Structured light scanning artifact-based performance study Integration of discrete-event dynamics and machining dynamics for machine tool: Modeling, analysis and algorithms Hybrid manufacturing by additive friction stir deposition, metrology, CNC machining, and microstructure analysis 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 Predicting chatter using machine learning and acoustic signals from low-cost microphones Review and status of tool tip frequency response function prediction using receptance coupling Physics-informed Bayesian machine learning case study: Integral blade rotors 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 Dynamic force and stability prediction for milling using feed rate scheduling software and time-domain simulation America’s Cutting Edge CNC machining and metrology training Effects of surface treatments on ABS mechanical properties from fused filament fabrication A machining digital twin for hybrid manufacturing Hybrid manufacturing of Invar mold for carbon fiber layup using structured light scanning America’s Cutting Edge CNC machining and metrology training Bayesian optimization for inverse calibration of expensive computer models: A case study for Johnson-Cook model in machining Receptance coupling substructure analysis and chatter frequency-informed machine learning for milling stability Pagination Current page 1 Page 2 Page 3 Next page ›â¶Äº Last page Last »
