RDM-3D: A Remote Dashboard for 3D Printer Performance Monitoring
Osama T. AlShaheen, Zeashan Hameed Khan, Samir Mekid · 2024
This research project focuses on the development and implementation of a digital twin system aimed at addressing limitations inherent in 3D printing technology. Leveraging IoT sensors and predictive maintenance algorithms, the project endeavors to enable remote monitoring and proactive identification of potential failures during the printing process. The digital twin, synchronized with the physical 3D printer, aims to replicate real-time operational dynamics while facilitating predictive maintenance based on sensor data analysis. The integration of Node-RED for the dashboard interface, alongside comprehensive sensor integration and testing phases, forms the core of this research. The ultimate goal is to enhance operational efficiency, minimize downtime, and optimize 3D printing processes by leveraging advanced digital twin capabilities integrated with IoT sensor technologies.