%0 Book
%T Digital quality assurance system for additive manufacturing based on machine learning methods and blockchain technology
%A Westphal, Erik
%D 2023
%C Rostock
%C Universität Rostock
%G English
%F 1891313185
%O vorgelegt von Erik Westphal
%O Enthält Zeitschriftenartikel
%O 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)
%O Dissertation Universität Rostock 2024 Kumulative Dissertation
%X 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.<eng>
%L 600
%9 theses
%9 Text
%9 Hochschulschrift
%R 10.18453/rosdok_id00004605
%U https://purl.uni-rostock.de/rosdok/id00004605
%U https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004605-6
%U https://d-nb.info/1333922965/34
%U https://doi.org/10.18453/rosdok_id00004605