A young company from Iceland called Euler is presenting software that uses AI to automatically detect defects in additive manufacturing processes. The solution integrates directly into Autodesk Fusion’s cloud-based CAD/CAM tools and uses existing camera data from laser powder bed fusion (LPBF) and selective laser sintering (SLS) printers. This eliminates the need for expensive, additional monitoring systems. Instead, existing sensor information is evaluated in order to detect typical problems such as uneven powder distribution, incomplete layers or burns at an early stage.
The software processes live data from the printer and assigns it to the corresponding CAD and CAM models in the Autodesk environment. This creates a continuous workflow that closely links design, print preparation and post-processing. In this way, manufacturers should be able to react more quickly to production errors and continuously adapt their processes. According to Autodesk, the solution was easily linked to a Renishaw RenAM 500Q LPBF printer in internal tests. Sensors provided real-time data, which the system converted into actionable insights.
According to the company, the tool identified periodic fluctuations in metal powder deposition during a test run at Autodesk. This anomaly pointed to a previously undetected hardware error that could have led to quality defects in printed parts if not analyzed. Early detection of such problems reduces scrap rates and maintenance costs.
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