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

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

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: KonferenzbeitragPaper

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.
Originalspracheenglisch
Seitenumfang6
PublikationsstatusAngenommen/In Druck - 1 Okt 2020
Veranstaltung8th CIRP Conference on Assembly Technologies and Systems - Athens, Greece, Virtuell, Griechenland
Dauer: 29 Sep 20201 Okt 2020
http://cirp-cats2020.com/

Konferenz

Konferenz8th CIRP Conference on Assembly Technologies and Systems
KurztitelCIRP CATS 2020
LandGriechenland
OrtVirtuell
Zeitraum29/09/201/10/20
Internetadresse

ASJC Scopus subject areas

  • !!Mechanical Engineering
  • !!Industrial and Manufacturing Engineering

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