Top 5 Machine Learning Highlights from Formnext 2020

26 November 2020
5-volume-graphics

Insights from Formnext Connect 2020 by Maud Chidiac, Program Manager AI at AMEXCI AB

1.Oqton, the real step toward an automated AM workflow 

A computer-generated image displays a 3D model of multiple blue objects arranged in rows, connected by blue support structures on a circular gray base, shown in a 3D printing software interface.

Oqton keeps adding new intelligent features to their Artificial Intelligence powered platform, FactoryOS. From part nesting until testing data analysis, the platform facilitates monitoring, analysing, managing all data with a unique digital thread covering the entire workflow. Oqton is building partnerships with machine manufacturer that open their API, and has announced their partnership with EOS.

We believe such system is key in moving toward a more automated workflow, and we are in the process of testing it out with our own machines. We hope in the future to be able to plug into it deep learning based modules for live defect analysis.

Click here to find out more about this technology.

2.Additive Assurance, AI based quality control in one modular kit 

A computer screen displays two images side by side: a blue 3D model of an object with a mesh pattern on the left, and a close-up view with red dots highlighting certain points on the right.

Additive Assurance is an Australian based company developing a machine learning powered sensor package for defect detection in the L-PBF process. Operators are notified by defects in real time to avoid failures and qualify components. The eight-sensor modular unit coupled with a cloud-based analytics and storage is integrable with multiple machine systems. 

We believe such system will bring process monitoring and data analysis to the next step.

Click here to find out more about this technology.

3. Addiguru, the new Ai based module for powder bed anomaly detection 

A computer screen displays a table of detected anomalies with columns for ID, issue identified, time, date, confidence percent, actual image, and predicted image. One row shows a red mark indicating an anomaly on a grayscale image.

Addiguru is a machine learning based monitoring technology for anomaly detection using sensors and cameras. The system works with intelligent imaging, advanced computer vision and trained AI algorithms to analyse the pictures of the powder bed and notify the operators and can be integrated with different machine systems.

We believe machine learning combined with easily integrable hardware and software systems is the key for Additive Manufacturing users to adopt AI based quality control.

Click here to find out more about this technology.

4. Siemens, the cockpit of the future

Black and white image showing a U-shaped arrangement of ten square objects and one small round object in the center, all placed on a flat surface. There is a metallic edge at the top of the image.

Siemens covers the AM workflow with its AM cockpit, that can collect the data and include several modules among them powder bed analysis. Their image analysis service processes the powder bed image, labels the anomaly and analyses it to suggest the right action to take to the operator.

Covering the workflow, handling the data, analysing the inputs, Siemens is positioning in every valuable aspect of the AM thread.

Click here to find out more about this technology

5. Volume Graphics, the eye on your different data types

A computer screen displays CAD software showing four views of a mechanical component, including top, side, front, and 3D perspectives, with technical measurements and settings panels visible.

Volume Graphics gives full insight on a printed part by bringing in one place analysis, simulation, and visualization of the data coming from the AM digital thread. This includes Computed Tomography scans and Optical Tomography pictures data from process monitoring, enabling to visualise the targeted defects such as porosity.

Visualizing different data types and being able to correlate them bring tremendous value in the way we can actually view and use the information coming from our AM workflow.

Click here to find out more about this technology.

About Maud Chidiac

Maud Chidiac is working as a Program Management for Artificial Intelligence at AMEXCI. She believes that making new smart systems compatible will enable their integration to make AI a truly transformational technology for Additive Manufacturing.

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