LPBF Sensor Instrumentation & NI DAQ

Role

Engineer Intern

Organisation

A*STAR Advanced Remanufacturing and Technology Centre (ARTC)

Period

Sep 2022 – Apr 2023

Tech Stack

NI-9236 DAQ, Strain Gauges, Acoustic Sensors, Siemens NX

Hardware Wiring and Instrumentation

Project Overview

To improve the sustainability and economic viability of Laser Powder Bed Fusion (LPBF), early detection of layering faults and part delamination is essential. I conducted a comprehensive feasibility study on integrating sensors into a commercial EOS M 290 3D printer for real-time condition monitoring, utilizing a non-intrusive approach that avoided permanently modifying the machine chassis.

Mechanical Design & Sensor Integration

I engineered a modified steel base plate with targeted cavities to securely house the necessary monitoring hardware.

Data Acquisition & System Safety

Routing delicate electronics through an industrial 3D printing chamber required strict adherence to safety and operational standards.

Key Engineering Findings

The physical testing phase provided crucial insights for the future sensorisation of AM printers. While the sensor integration was mechanically successful, I identified that routing multiple hardwired contacts out of the base plate created an impractical risk of the wires interfering with the moving recoater blade as the platform elevated.

Based on these findings, I concluded that future iterations of this system must utilize custom, high-temperature-resistant electronics mounted directly under the build plate to handle data readouts internally, drastically reducing the physical wiring footprint passing through the chamber.

Project Resources

Download Project Report (PDF) Download Project Poster (PDF)