Potential of process information transfer along the process chain of hybrid components for process monitoring of the cutting process

Abstract The production of hybrid components involves a long process chain, which leads to high investment costs even before machining. To increase safety and quality during finishing, it is necessary provide information about the semi-finished parts geometry for machining identify defect at an early stage. This paper presents investigation predict variations in dimension cavities inside material cross-wedge rolling shafts based on measured tool pressure. First, investigated with respect variation diameter three roll gaps two materials. Subsequently, features are generated from hydraulic pressures tools multi-linear regression models developed order determine resulting diameters shaft shoulder. These show better prediction accuracy than meta-data set gap formed material. additionally used successfully monitor regard Mannesmann effect. Finally, sensor concept new machine improve workpiece approach monitoring processes workpieces dimensional presented upcoming studies.