Aim: DIGI-H-AM aims to develop and implement an advanced digital tool for monitoring and optimizing diverse Additive Manufacturing (AM) processes, encompassing preparational steps and postprocessing, to enhance efficiency and effectiveness.
Description: Utilizing a novel approach for data collection and digital twins, DIGI-H-AM monitors the AM machines' atmosphere and history, leveraging IoT sensors and innovative machine learning processes. This builds a real-time predictive model for process failure detection during manufacturing.
Benefits: DIGI-H-AM offers modular, independent monitoring for various AM technologies, promising new quality assurance standards. Through process optimization, users gain transparent insight, ensuring improved AM parts quality and performance. It exhibits vast technology transfer potential and applies in space, aerospace, automotive, and tooling industries.
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