A Comparative Analysis of Axis Drive Current Measurements in CNC Machine Tools for Machine Learning Assisted Process Monitoring. Procedia CIRP, (130):214--219, 2024. [PUMA: Condition Digital Machining monitoring twin]
A Data-Driven Approach for Cutting Force Prediction in FEM Machining Simulations Using Gradient Boosted Machines. J. Manuf. Mater. Process., (8(3))1072024. [PUMA: FEM MachineLearning machining manufacturing]
Tool condition monitoring in drilling processes using anomaly detection approaches based on control internal data. Procedia CIRP, (121):216–221, Elsevier BV, 2024. [PUMA: analysis anomaly condition detection learning machine machining manufacturing monitoring networks neural process series time tool] URL
Modelling of sawing processes with internal coolant supply. Manufacturing letters, (32)April:92-95, Elsevier, 2022. [PUMA: CEL FEM coolant machining simulation]
Process Stability Monitoring - Potential of Internal Control Data for Drilling Processes in the Aerospace Industry. 57-64, SSRN, 2023. [PUMA: (CNC) Computer Digital Machining control manufacturing myown numerical system]
Numerical Methods for the Simulation of Segmented Chips and Experimental Validation in Machining of TI-6AL-4V. MM Science journal, (2021)November:5052-5060, 2021. [PUMA: myown]