Virtual Reality Extension for Digital Twins of Machine Tools

Valentin Holzwarth (), Christian Hirt (), Joy Gisler () and Andreas Kunz ()
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Valentin Holzwarth: University of Liechtenstein
Christian Hirt: ETH Zurich
Joy Gisler: ETH Zurich
Andreas Kunz: ETH Zurich

A chapter in Smart Services Summit, 2022, pp 77-84 from Springer

Abstract: Abstract Digital twins (DTs) provide numerous opportunities for value creation in manufacturing. Services enabled by DTs include remote monitoring of assets’ conditions and predictive maintenance. In this paper, we introduce novel, previously unexplored services based on a fully virtualized machine tool, which are targeted at increasing machine operators’ productivity. This allows conducting procedures, such as operator training at a virtual machine tool, which results in the real machine tool being available for value adding activities. Beyond operator training, we envision further potential applications of the virtual machine tool including the run-in of new processes and collision detection.

Keywords: Digital twin; Manufacturing; Machine tools (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-97042-0_8

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DOI: 10.1007/978-3-030-97042-0_8

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