A Digital Shadow cloud-based application to enhance quality control in manufacturing

Annalisa Santolamazza, Corrado Groth, Vito Introna, Stefano Porziani, Francesco Scarpitta, Giorgio Urso, Pier Paolo Valentini, Emiliano Costa, Edoardo Ferrante, Stefano Sorrentino, Biagio Capacchione, Michel Rochette, Simon Bergweiler, Valerie Poser, Marco E. Biancolini

In: Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann (editor). 21th IFAC World Congress. World Congress of the International Federation of Automatic Control (IFAC-2020) July 12-17 Berlin/Virtual Germany Pages 10579-10584 IFAC WC 53 2 IFAC-PapersOnLine 2020.


In Industry 4.0 era, rapid changes to the global landscape of manufacturing are transforming industrial plants in increasingly more complex digital systems. One of the most impactful innovations generated in this context is the “Digital Twin”, a digital copy of a physical asset, which is used to perform simulations, health predictions and life cycle management through the use of a synchronized data flow in the manufacturing plant. In this paper, an innovative approach is proposed in order to contribute to the current collection of applications of Digital Twin in manufacturing: a Digital Shadow cloud-based application to enhance quality control in the manufacturing process. In particular, the proposal comprises a Digital Shadow updated on high performance computing cloud infrastructure in order to recompute the performance prediction adopting a variation of the computer-aided engineering model shaped like the actual manufactured part. Thus, this methodology could make possible the qualification of even not compliant parts, and so shift the focus from the compliance to tolerance requirements to the compliance to usage requirements. The process is demonstrated adopting two examples: the structural assessment of the geometry of a shaft and the one of a simplified turbine blade. Moreover, the paper presents a discussion about the implications of the use of such a technology in the manufacturing context in terms of real-time implementation in a manufacturing line and lifecycle management.


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2020_IFAC-Digital-Shadow-for-manufacturing.pdf (pdf, 856 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz