Prediction of tool-path and cycle time errors of CNC machining using a transformer-based deep learning model

The prediction of tool-path and cycle time errors of computer numerical control (CNC) machining is important in manufacturing field. In this study, these errors are considered as sequential data corresponding to the lines of G-code, i.e., the error prediction is a sequence-to-sequence task, and a Tr