03.04.2025 • NewsAdditive FertigungSoftware

Aconity3D und AMsight geben strategische Zusammenarbeit bekannt

Die Partnerschaft der beiden Unternehmen ermöglicht es den Anwendern des Systemanbieters, das Datenmanagement zu vereinfachen, die Produktion zu optimieren und die Qualitätskontrolle zu verbessern.

As part of this cooperation, AMsight’s software is now included in Aconity3D’s machine configurator for new customers and is available for existing customers in the AconityShop, ensuring easy selection and integration for all users. This  reduces their effort required for data management significantly while unlocking the full potential of their manufacturing data. The integration facilitates efficient process and material development as well as automated quality management, giving manufacturers a competitive edge in the evolving additive manufacturing industry.

Kooperations-Gruppenbild von AMsight und Aconity3D (Bild: AMsight)
Kooperations-Gruppenbild von AMsight und Aconity3D (Bild: AMsight)

With the software, AM users can refine production processes, develop new materials, and enhance cost efficiency while reducing waste. By automating data analysis and improving real-time monitoring, manufacturers can achieve consistent high-quality results with greater efficiency.

Dr Florian Eibl, commercial director at Aconity3D, said: “Aconity3D is committed to equipping our users with the most advanced tools available. Integrating AMsight’s software with our machines allows our customers to streamline data workflows, reduce costs, and improve process reliability.”

“Our partnership with Aconity3D marks a major step forward in helping manufacturers and research teams unlock the true power of their data. With our solution, users can optimize production, improve quality control, and drive innovation with confidence,” concludes Dr-Ing Tim Wischeropp, CEO & co-founder at AMsight.

Further reading: Karl Laderer (SVS-Vistek) & Lutz Lübbert (Aconity 3D): Optimized powder bed laser melting processes, PhotonicsViews 21(5), pages 62-64, first Published: 01 September 2024: DOI: 10.1002/phvs.202400032

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