Akademik Veri Yönetim Sistemi
6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2024, İstanbul, Türkiye, 23 - 25 Mayıs 2024
The manufacturing industry wants to continuously operate laser cutting machines with predictive maintenance practices, even outside maintenance periods. Unplanned downtime experienced by these machines can lead to productivity losses and decrease efficiency. One of the most important reasons for these unexpected stops is the deterioration, wear, and loosening of the moving elements on which the laser cutting head is mounted. These downtimes experienced during planned workloads cause significant costs and production losses for companies. This article introduces a machine condition monitoring system specific to laser cutting machines that can predict possible malfunctions and external influences affecting production with data collected from the laser cutting machine. The system is based on analyzing vibration data obtained from acceleration sensors positioned at critical points of the laser cutting machine. To measure the performance of the laser cutting device, the machine moves according to a predetermined extreme operating scenario, and the acceleration data collected during this time is compared with the acceleration data collected under healthy operating conditions. The machine condition monitoring device includes acceleration sensors that collect data from 6 points, including the workpiece carrier table, right/left rails, bridge, slide, and laser cutting head, and special connection equipment to fix these sensors to appropriate points on the machine. Save the collected acceleration data to the SD card. By processing the data through a computer program, meaningful information about the machine is created, and the user can be informed in advance about possible mechanical damage or external effects affecting the machine's performance. The product quality obtained at the end of the laser cutting process is directly related to the parameters used during cutting. Vibrations created by factors such as kerf, cutting speed, gas pressure, and the data obtained from their systematic analysis will help produce the final product of the right quality.