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    <title>Digital quality assurance system for additive manufacturing based on machine learning methods and blockchain technology</title>
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    <namePart>Fakultät für Maschinenbau und Schiffstechnik</namePart>
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  <abstract type="Summary">This thesis examines technological innovations in the context of process digitalisation and develops a digital quality assurance system for additive manufacturing based on specific artificial intelligence (AI) methods and blockchain technology to enable more reproducible and predictable AM processes and parts. To this end, this cumulative work considers the implementation of special AI algorithms, a digitalised quality management system based on blockchain and the combination of both into a real-time digital quality assurance system for AM as three main areas of investigation.&lt;eng&gt;</abstract>
  <abstract type="Summary">Diese Arbeit untersucht technologische Innovationen im Kontext der Prozessdigitalisierung und entwickelt ein digitales Qualitätssicherungssystem für die additive Fertigung, das auf speziellen Methoden der künstlichen Intelligenz (KI) und der Blockchain-Technologie basiert, um reproduzierbarere und vorhersagbarere AM-Prozesse und -Bauteile zu ermöglichen. Dafür betrachtet diese kumulative Arbeit die Implementierung spezieller KI-Algorithmen, ein digitales Qualitätsmanagementsystem auf Basis der Blockchain-Technologie und die Kombination von beidem zu einem digitalen Qualitätssicherungssystem.&lt;ger&gt;</abstract>
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  <note type="statement of responsibility">vorgelegt von Erik Westphal</note>
  <note>Enthält Zeitschriftenartikel</note>
  <note>GutachterInnen: Hermann Seitz (Lehrstuhl für Mikrofluidik, Universität Rostock) ; Knuth-Michael Henkel (Lehrstuhl für Fügetechnik, Universität Rostock) ; Benjamin Leiding (Institute for Software and Systems Engineering, TU Clausthal)</note>
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