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Digital Engineering April 2026
In the latest issue of Digital Engineering, we take a look at the latest innovations in design for additive manufacturing, including the use of natural language inputs, social media cosplayers, and AI integration. The issue also includes a feature…
January Special Focus Issue: Design for Additive
In this Special Focus Issue of Digital Engineering, learn about the latest advancements in design for additive manufacturing, including new software tools, additive in automotive, custom medical devices, and more.
The solution was developed in close collaboration with EOS strategic partner MTU Aero Engines. EOSTATE Exposure OT enables the partner to significantly reduce costs for downstream, non-destructive examination in technical computer tomography (CT), as potentially defective parts can be rejected at an earlier stage, according to EOS. The two other pilot customers, Liebherr and IPC, will also continue to use the system after the pilot phase and integrate it in their manufacturing processes.
EOSTATE Exposure OT is a self-learning system that reportedly becomes increasingly intelligent the more data it is fed. The more precisely users become familiar with the specific parameters of their components, the better they can assess the quality and density of the parts they are manufacturing. The ultimate aim is to recognize possible sources of defects during the building process and reject any defective parts, the company notes.
For more info, visit EOS.
Sources: Press materials received from the company.
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