Jaydeep M Karandikar Senior R&D Staff Contact karandikarjm@ornl.gov | 865.574.4641 All Publications Milling tool wear... Chatter detection in simulated machining data: a simple refined approach to vibration data Residual stress accumulation in large-scale Ti-6Al-4V wire-arc additive manufacturing Process damping identification using Bayesian learning and time domain simulation Review of in situ process monitoring for metal hybrid directed energy deposition Using GANs to predict milling stability from limited data Integration of discrete-event dynamics and machining dynamics for machine tool: Modeling, analysis and algorithms Cutting force estimation from machine learning and physics-inspired data-driven models utilizing accelerometer measurements... Predicting chatter using machine learning and acoustic signals from low-cost microphones 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... Low-cost sensors and analytics for a digital factory... 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... INTEGRAL BLADE ROTOR MILLING IMPROVEMENT BY PHYSICS-GUIDED MACHINE LEARNING... REMOTE BAYESIAN UPDATING FOR MILLING STABILITY... Logistic classification for tool life modeling in machining... A Bayesian Framework for Milling Stability Prediction and Reverse Parameter Identification... Estimating Johnson-Cook Material Parameters using Neural Networks... Propagation of Johnson-Cook flow stress model uncertainty to milling force uncertainty using finite element analysis and time... Physics-guided logistic classification for tool life modeling and process parameter optimization in machining... Uncertainty evaluation for twist drilling stability model... Milling stability identification using Bayesian machine learning... Stability boundary and optimal operating parameter identification in milling using Bayesian learning... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Google Scholar ORCID Organizations Energy Science and Technology Directorate Manufacturing Science Division Precision Manufacturing and Machining Section Intelligent Machine Tools Group User Facilities Manufacturing Demonstration Facility