Creation of an Experimental Engineering Toolbox for the Digital Transformation of Manual Jet Engine Assembly Spanoudakis, Konstantinos Jonen, Fabian Wedemeyer, Carsten 2020-01-04T08:07:54Z 2020-01-04T08:07:54Z 2020-01-07
dc.description.abstract The fast and safe motion of goods and people is one of the foundations of the modern world. Jet aircraft is the fastest transport at the moment along with high-speed trains. Accordingly, both production and maintenance of aircrafts are an important task of our modern industrial environment as well. Modern aircraft engines require appropriate care and understanding of design and manufacturing. This is even more important, as the production of aerospace engines remains a manual process in many cases with limited data sources. Thus, quality control will need to take into account verification of manufacturing and assembly steps through specific checks and controls whilst implementing additional data sources. Automation of tasks still is at a low level. In this article a review of the challenges with regard to controls, automation and process and technical understanding for aerospace engine production and repair is provided. As this requires the collaboration of many teams and partners, an improvement and step change towards deeper understanding and process efficiency is required. As many operations remain manual, innovations for how humans interact with the technology and collaborate with an industrial environment are needed. The project in this article demonstrates the creation and usage of the proposed solutions for collaboration, troubleshooting and error correction.
dc.format.extent 9 pages
dc.identifier.doi 10.24251/HICSS.2020.564
dc.identifier.isbn 978-0-9981331-3-3
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Transforming Traditional Production Systems into Smart Production Systems
dc.subject augmented reality
dc.subject deep learning
dc.subject machine learning
dc.subject object detection
dc.subject robotics
dc.title Creation of an Experimental Engineering Toolbox for the Digital Transformation of Manual Jet Engine Assembly
dc.type Conference Paper
dc.type.dcmi Text
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