DEVELOPMENT OF MONITORING DEVICE FOR SPINDLE ROTATION AND AXIS MOVEMENT SYSTEM ON CNC MILLING VMC 250

• Main Author: S. JANUARTHA (NIM: 23116011), ANDRIAN
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/25549
• Institution: Institut Teknologi Bandung

Maintenance scheduling accuracy of CNC machine tools components should be calculated based on actual data utilization of each axis and spindle component. In the process, to obtain actual data is required monitoring device system and usage estimation model. In making monitoring device, controller protocol differences and limited access for direct acquistion to CNC machine controller become barriers. This thesis focuses on the development of a monitoring device system to obtain realtime information from spindle rotation and axis movement of CNC machine tools. A monitoring system has been developed and tested with a case study on CNC milling VMC 250 whose controller is SIEMENS SINUMERIK 802C. Data collection of spindle speed and machine axes movement was conducted by a termination method on wiring feedback control of spindle encoder signal and axes encoder signals. The acquired data were then wirelessly transmitted, processed and displayed on a graphical user interface as actual utilization information of spindle rotational speed and duration and axes movements. The monitoring devices consisted of termination board for data tapping and a signal conditioning circuit. Afterward, a WEMOS microcontroller was used to process and to transfer data wirelessly to a Raspberry microcomputer which acted as a broker. The data will be used to update the data status of CNC Machine Tools database, where data is communicated by using a MQTT protocol. The system used micro python as a programming tool on microcontroller and python on the PC. Experiment results showed that the monitoring system had been working properly. By this system, the spindle rotational speed and each axis movement of the CNC machine tools could be monitored in real time. The actual information of spindle rotation speed and machine axes movement in this thesis can be used later as primary data input on the usage estimated model to produce more accurate machine maintenance scheduling.