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Implementing cognitive technologies in an assembly line based on two case studies

Muaaz Abdul Hadi, Markus Brillinger, Martin Bloder, M. Bader, Martin Ratasich, Franz Haas, Stefan Trabesinger, Johannes Schmid, Martin Weinzerl, Hannes Hick, Peter Kopsch, Eric Armengaud

2021Procedia CIRP10 citationsDOIOpen Access PDF

Abstract

Due to mass customization, the product variances have considerably increased. Hence, achieving high quality, high variety, and small batch size production can be expensive. A thorough literature review and research findings indicate the new technologies that can be considered for mitigating these disparities. This paper then presents a case study for achieving high quality reliable e-axle bearings through a developed data-driven Bearing Test Rig (BTR). The second case study indicates the feasibility of high variety assembly of products in an e-axle through a cobot that is utilized for bearing assembly, sealing application, and bolting operations. Both depict the human-machine interaction as a core element in future e-axle assembly. The results are evaluated with the help of FMEA analysis, LoA matrix, and a simulation model.

Topics & Concepts

AxleVariety (cybernetics)Mass customizationPersonalizationEngineeringQuality (philosophy)Manufacturing engineeringBearing (navigation)Product (mathematics)Automotive engineeringReliability engineeringComputer scienceMechanical engineeringArtificial intelligenceWorld Wide WebPhilosophyGeometryMathematicsEpistemologyFlexible and Reconfigurable Manufacturing SystemsManufacturing Process and OptimizationProduct Development and Customization
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