Dr. Schmitz visited Virginia Tech’s Grado Department of Industrial and Systems Engineering on Friday, February 28, 2020 to present the Ingersoll-Rand Seminar. The title of his presentation was: Machine learning for machining stability.
His presentation described the use of uncertain physics-based milling stability models to train a machine learning stability model and then updating this model with new data to reduce uncertainty in parameter selection. He presented a case study where the machine learning model was trained using an initial approximation of the system (with errors) and then updated with new data (without errors) to better approximate the underlying true model. He showed that the model accuracy was improved with updates and converged to the true stability behavior.