K. Rameshkumar

Adaptive Online-Learning Digital Twin for Edge-Based Prediction of Process Stability in Thin-Wall Machining

An edge-deployable digital twin framework that incorporates online machine learning for real-time monitoring of process stability and surface quality and enables continuous model adaptation to non-stationary machining dynamics, thereby eliminating the need for complete model retraining.