Chemistry & Process Engineering forum Rapid.Tech 3D 2024

How data-driven machine learning and autonomous process control enable end-to-end production in Additive Manufacturing

Discover the future of additive manufacturing! A revolutionary AM workflow from Oqton and Baker Hughes for VRT components sets new standards in quality and certification. Be there when innovation becomes reality!

It is by now well understood that for Additive Manufacturing to mature, it needs to be faster, simpler, and more reliable. This presentation - the result of tight cooperation between Oqton and Baker Hughes - will highlight a step toward this goal through the development of an end-to-end AM workflow for the serial production of a Variable Resistance Trim (VRT) component. Built on a fully digital framework, it includes simulation, real-time process monitoring based on AI, anomaly analysis, and data preparation automation. It is a strong corner stone for an AM workflow that delivers consistent quality and the documentation necessary for certification.

Presentation language: ENG


Speakers (1)

Jonas Baumeister

Jonas Baumeister

Principal Strategic Business