IOT ENABLED TOOL WEAR CONDITION MONITORING SYSTEM FOR CNC TURNING COMPRISING ACOUSTIC EMISSION SENSOR

摘要

IoT enabled condition monitoring system for cutting tool wear in computerized numerical control (CNC) turning comprising acoustic emission sensor, comprises of: data acquisition unit, coupler, computer, LED indication module and a Wi-Fi module. During turning, the high frequency acoustic emission is captured through the acoustic emission sensor and processed in computer to calculate the root mean square (RMS) value. The RMS value of the said sensor is correlated with the parameters such as machined hours and flank wear of the cutting tool and surface roughness of the workpiece and displayed on the computer monitor. An LED indication module is enabled to indicate the status of the parameter of interest. The said Wi-Fi module transmits the received values of the parameters to IoT platform through internet access point. When the parameter of interest crosses the predefined threshold, SMS and email are triggered to inform the user.