Wire Arc Additive Manufacturing; Additive Manufacturing; Digital Twin; Digital Shadow; Process Monitoring; Anomaly Detection; Defect Classification; Process Control; Closed-Loop-Control; Smart Manufacturing System; Industry 4.0; Digital Manufacturing; Cyber-Physical System; Sensor System; Industrial 3D Printing; Aluminum; Metal; Artificial Intelligence; Neural Networks; Autoencoder; Data Analytics; Time Series; Multivariate; Context Awareness; Autonomous; Adaptable; WAAM; AM; AI
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Wire Arc Additive Manufacturing; Additive Manufacturing; Digital Twin; Digital Shadow; Process Monitoring; Anomaly Detection; Defect Classification; Process Control; Closed-Loop-Control; Smart Manufacturing System; Industry 4.0; Digital Manufacturing; Cyber-Physical System; Sensor System; Industrial 3D Printing; Aluminum; Metal; Artificial Intelligence; Neural Networks; Autoencoder; Data Analytics; Time Series; Multivariate; Context Awareness; Autonomous; Adaptable; WAA...
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TU-Systematik:
FER 520
Kurzfassung:
Die additive Fertigung mittels Lichtbogenauftragschweißen ermöglicht die Herstellung großvolumiger Metallbauteile. In dieser Arbeit werden Methoden in den Bereichen digitale Bauteil- und Prozessrepräsentation, Prozessüberwachung und datengestützter Prozesseingriff zur Aufbereitung, Auswertung und Nutzung der Prozessdaten vorgestellt. Es wird ein kontextwahrnehmender, autonomer und adaptiver Digitaler Zwilling entworfen und in einem industriellen Fertigungsszenario validiert.
Übersetzte Kurzfassung:
Wire Arc Additive Manufacturing enables the production of large-scale metal parts. Within this work, a holistic concept for the preparation, evaluation, and utilization of its process data is presented. A context-aware, autonomous, and adaptive digital twin is designed and corresponding methods in the areas of digital part and process representation, process monitoring, and data-driven process interventions are presented. The digital twin is validated within an industrial manufacturing scenario.