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Potential for smart spindles adoption as edge computing nodes in Industry 4.0

Contributo in Atti di convegno
Data di Pubblicazione:
2020
Abstract:
Smart spindles extend conventional electromechanical machine tool sub-systems with additional sensing and local data processing capabilities, according to the Cyber-Physical Systems paradigm, in the framework of Industry 4.0. The article investigates the possibility and advantages of performing local elaboration of spindle-specific data, which allows embedding and protecting the expertise of component creator in form of proprietary data processing algorithms and numerical models. The main elements and functionalities of a smart spindle are discussed, focusing on how they can deliver a competitive performance exploiting edge computing, the convenience of use for the end user and aspects related to data privacy.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
intelligent spindle; Industry 4.0; edge computing; machine tools; smart manufacturing; machining; digital twin
Elenco autori:
Wojcicki, JEREMI BARTOLOMIEJ; Bianchi, GIACOMO DAVIDE; Leonesio, Marco
Autori di Ateneo:
BIANCHI GIACOMO DAVIDE
LEONESIO MARCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/406581
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