Sensor Monitoring for Cutting Process Optimisation of Low Machinability Materials

In this paper, multiple sensor monitoring applications for process optimisation during machining of diverse low machinability materials are reported and discussed: (a) titanium alloys and (b) plastic matrix fibre reinforced composite materials. Acceleration and cutting force sensor monitoring during turning of titanium alloys is applied for dependable and and robust classification of process condition acceptability. Acoustic emission and cutting force sensor monitoring during orthogonal cutting of composite materials is performed for consistent and reliable identification of tool state. In both cases, sensor fusion technology is implemented for data analysis enhancement and supervised neural network cognitive paradigms are employed for pattern reognition based decision making.