Process Monitoring Data: The Missing Link in Industrial Additive Manufacturing

Alexander Oster November 17, 2024

4 min read

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Integrating process monitoring data into the design workflow, as demonstrated by AI startup Euler on the Autodesk Fusion platform, enhances additive manufacturing with real-time defect detection, failure prediction, and actionable insights, bridging the gap between design and manufacturing for practical, manufacturable designs.

Euler, an Iceland-based AI startup, specializes in computer vision and anomaly detection for sensor data in additive manufacturing. Founded by leading scientists in optical device calibration and industrial process monitoring, Euler is revolutionizing quality and reliability in additive manufacturing by integrating sensor data directly into the CAD system.

The Euler Cloud platform, a SaaS tool, seamlessly gathers camera data from a variety of laser powder bed fusion (LPBF) and selective laser sintering (SLS) machines. Thus offering real-time analysis with minimal onboarding requirements. Key features include:

Euler’s approach is unique. Instead of adding expensive, specialized monitoring equipment, it leverages existing optical systems and AI algorithms to analyze underutilized data from standard processes.

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Real world experience in the Autodesk Technology Center Boston

Autodesk has been an early beta tester of Euler over the last months on our own Renishaw RenAM500Q system in the Boston Technology Center. The direct onboarding process is easy and seamlessly connected the machine to the Euler Cloud platform.

Periodic defects in a print job analyzed by Euler.

Even in the short testing period, our machine operators found incredible value in the AI insights that Euler autonomously provides for all print jobs. A specific example to highlight is a periodic fluctuation of spatters that directly revealed a machine hardware defect. And might have been undetected for some time, leading to insufficient part quality.

Manually inspecting several thousand camera images per job is a very difficult and tiring task, and even very experienced engineers will struggle to come up with reliable and repeatable results. Euler and AI Automation will transform how standardized Quality Control is applied in Additive Manufacturing.

Process monitoring data integration in the Autodesk Fusion App ecosystem

Now available as a native Autodesk Fusion App, Euler has developed an incredible solution that seamlessly incorporates optical data into the upstream design process, complete with automated analytics and failure visualization.

As a cloud-native CAD/CAM environment with top-tier additive manufacturing capabilities, Autodesk Fusion enables the Euler app to merge Fusion’s versioned, granular data management with real-time sensor data recorded on the printing device. The result is a direct data feed back into the 3D canvas within the CAD environment. This creates a fully integrated process chain from CAD design through preparation and post-processing. This closed-loop setup supports rapid iteration in industrial part production.

With Autodesk Fusion’s affordability and user-friendly design, it’s an ideal platform for scaling additive manufacturing expertise across an organization.

Integrating process monitoring data bridges the communication gap between design and manufacturing teams. By fostering a shared understanding of process capabilities and limitations, it ensures that designs are both practical and manufacturable. Ultimately this reduces the risk of misalignment between departments.

Leveraging accessible sensor data with AI is a transformative trend across industries. Autodesk is proud to be the first CAD/CAM platform to harness this technology for a mass-market audience.

FormNext 2024

If you’re attending FormNext 2024 in Frankfurt, Germany, visit us for the world premiere of this integration at either the

Or learn more on https://www.euler3d.com.

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