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Publikováno v:
Journal of Production Engineering. 23:22-28
Autor:
Chao Sun, Erdem Ozturk, Javier Dominguez-Caballero, Rob Ward, Sabino Ayvar-Soberanis, Seun Ojo, David Curtis
The future of machining lies in the fully autonomous machine tool. New technologies must be developed that predict, sense and action intelligent decisions autonomously. Digital twins are one component on this journey and are already having significan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90230865137884800030ee45c51cc9b4
https://eprints.whiterose.ac.uk/178019/1/Ward2021_Article_MachiningDigitalTwinUsingReal-.pdf
https://eprints.whiterose.ac.uk/178019/1/Ward2021_Article_MachiningDigitalTwinUsingReal-.pdf