Authentise, an expert company in data-driven workflow tools for additive manufacturing, and Riven, a 3D reality intelligence specialist for digital manufacturing, have integrated the Riven 3D reality platform with the Authentise Manufacturing Execution System (aMES).
The resulting full contextual data capture of all parts provides a platform for further analysis by Riven, Authentise, and users alike. In the future, WAM TM compensation will automatically trigger new orders in aMES. According to Andre Wegner, CEO of Authentise, “Integrating full-part 3D data into the company aMES platform will greatly accelerate new product introduction (NPI) for parts made via additive manufacturing. Riven’s WAM technology is leveling-up part accuracy across all AM production techniques. I am very excited to see existing AM systems now able to produce production parts and meet tolerance specs that were previously impossible. Customers will see immediate benefits – especially for setting up and managing series-production orders with Authentise”. Wenger continued “We’re excited to welcome Riven to the Authentise ecosystem,” says Andre Wegner, CEO of Authentise. “Together we can achieve true production quality and reduce time to product launch across the AM industry”.
Manufacturing on Demand
Through the integration, scan data from Riven’s sensors will be automatically inserted into the traceability report of the part in aMES. Riven’s software will also receive critical information such as the as-designed CAD file, process, and material information directly from Authentise. The rapid identification of divergence from Riven’s Warp Adapted Model (WAM TM ) will be viewable in Authentise.
“For additive to reach its full potential, OEMs and service bureaus need to have confidence that production parts will be delivered quickly and meet specs.” said James Page, founder, and CTO of Riven, “Authentise’s open platform and workflow automation are an excellent complement to Riven’s push-button easy capture, analysis and streamlined data aggregation. Data lakes based on the capture of complete as-manufactured parts fuel Riven’s next-generation predictive, machine learning technology, enabling even higher part quality and reduced time to production deliveries for customers”.
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Author: Andrea Gambini
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