top of page
Field Service Engineering_edited.jpg

INTEGRATED DIGITAL TWIN

Enabling technicians to act quickly and reduce production costs through to helping advanced Additive Manufacturing engineers improve the quality of future print jobs.

Picture2.png
idt example.png
nebumind 2nd pic.png

Adding online quality control into the workflow of Authentise.

The collaboration integrates nebumind’s ‘digital twin’ visualizations, which fuses machine parameters and sensor data with the original part geometry, with Authentise’s FLOWS AM data-driven workflow management that integrates real-time production data from SLM Solutions machines.


This reduces time to set up the visualizations by using data already present in FLOWS AM, and provides access to the digital twin from within the interfaces users already work in. It increases part-by-part analytics and thus reduces part processing time and costs. The insight generated will also contribute to automated quality reporting within FLOWS AM.

Benefits?

FaviconII.png

Cost effective

“Defected parts” spotted during printing are removed from the workflow, saving money, time and resources.

FaviconII.png

Time reduction

The 40% scrap and repair costs are divided about equally between scrap and repair. Therefore, a 20% reduction in scrap also leads to a 20% reduction in time.

FaviconII.png

Environmental impact

IDT helps reduce the high scrap rate in 3D printing that leads to a very negative Co2 footprint of 3D printed components.

Image by Esther Jiao

Take advantage of industrial engineering & manufacturing software forged in some of the industry’s most flexible & fast-moving environments.

Authentise’s platform for industrial engineering and manufacturing provides a modular set of applications that allows customers to deploy what they require, on their terms, not ours. Commitment can scale or shrink according to need.

Authentise-Job-Management.png

Further development

We’re planning to extend the integration to allow for consideration of third party sensors, in addition to machine sensors. These could include in-process or post-process scanning techniques.

In addition to ensuring in-process quality, we also expect to develop and deploy algorithms that can use the holistic set of data to verify the quality of each party - permitting reinsurance and other opportunities.

Image by Esther Jiao
Danfoss%20Logo_edited.png
ricoh-authentise.png
Boeing Logo.png

Do you have any other ideas for further development?

We’ve helped companies like 3M, Boeing, Nike, Danfoss, Ricoh, Xerox and more deliver some of the world’s most agile and responsive industrial engineering environments.

If you want to work with us on further developing our project, get in touch!

NEXT STEPS

This project has received funding from the European Union's Horizon 2020 research and innovation programme under agreement No 761708.

eulog.png
bottom of page