Project Overview
During my time at the Advanced Remanufacturing and Technology Centre (A*STAR), I spearheaded an industry-linked additive manufacturing project to bring remote monitoring capabilities to industrial 3D printing. The core objective was to successfully integrate an M5Stack FIRE Industrial IoT device with a commercial EOS M 290 Laser Powder Bed Fusion (LPBF) metal 3D printer.
Custom Sensor Instrumentation
To achieve real-time telemetry, I engineered a custom sensor instrumentation system. This involved modifying the industrial hardware to safely route 12 separate signal channels from two strain gauges and an NI-9236 DAQ module through custom-machined 13 mm ports.
Data Pipeline & Results
Beyond the physical hardware, I built an end-to-end industrial data pipeline via InfluxDB and Grafana to simultaneously analyze five critical process parameters during live prints.
Through rigorous LPBF validation experiments, the telemetry system successfully identified micro-level powder bed deviations of just ~50 µm and maintained oxygen levels below 0.1%.