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September 26, 2017 · Infosys and Renishaw partnership built to deliver metal additive manufacturing solutions.
September 18, 2017 · EOS, in the field of industrial 3D printing of metals and polymers, is expanding its academia program and collaborating with Sintratec.
August 30, 2017 · August update also sees design, sketching, simulation and CAM enhancements.
August 30, 2017 · August update also sees design, sketching, simulation and CAM enhancements.
August 1, 2017 · This rapid growth is analyzed and implications evaluated in the latest market intelligence report from IDTechEx Research's '3D Printing Metals 2018-2028: Technology and Market Analysis.'
July 31, 2017 · Sintavia uses Concept Laser’s meltpool-monitoring system to demonstrate value of in-situ monitoring of metal AM builds.
June 22, 2017 · Continued optimization includes camera-based monitoring of the build process.
September 21, 2016 · The metal additive manufacturing system is focused on greater volumes and increased productivity.
January 15, 2016 · The system works with stainless steel, titanium or nickel super alloys.
December 18, 2015 · The subsidiary is the first beta customer of Additive Industries.
December 2, 2015 · New EOS metal additive manufacturing system described as entry level yet it has similar features to its larger industrial siblings.
December 2, 2015 · The DMLS system is suited for small runs of complex designs.
October 28, 2014 · The accreditation is for the company's AM250 laser melting machine.
September 29, 2014 · The new version supports sheet metal manufacturing in addition to composites, a new interface and a variety of added features.
July 25, 2014 · The technology has been developed for powder bed fusion metal 3D printing.
July 16, 2014 · The solution is ideal for creating prototypes that require high-grade metals such as Inconel and titanium.
May 19, 2014 · Can be used for aerospace, chemical and energy applications.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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