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TOOL CONDITION MONITORING AND TOOL DEFECT DETECTION FOR END MILLS BASED ON HIGH-FREQUENCY MACHINE TOOL DATA
Alexander Fertig, Lukas Grau, Marius Altmannsberger, Matthias Weigold
PREDICTION OF THERMAL ERRORS IN MACHINE TOOLS THROUGH DECOUPLED SIMULATIONS USING GENETIC ALGORITHM AND ARTIFICIAL NEURAL NETWORKS
T. Suresh Kumar, J. Glaenzel, M. Bergmann, M. Putz
QUALITY MONITORING FOR DRILLING BASED ON INTERNAL DATA OF MACHINE TOOL
F. He, M. Weigold
UTILIZATION OF MACHINE LEARNING APPROACHES FOR TOOL WEAR DETECTION AND PREDICTION IN THE CIRCULAR SAWING PROCESS OF METALLIC MATERIALS
P. Georgi, S. Eschelbacher, H.-C. Moehring
METHODS FOR DETERMINING THERMAL ERRORS IN MACHINE TOOLS BY THERMO-ELASTIC SIMULATION IN CONNECTION WITH THERMAL MEASUREMENT IN A CLIMATE CHAMBER
ALEXANDER GEIST, CHRISTIAN NAUMANN, JANINE GLANZEL, MATTHIAS PUTZ

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