A Digital Twin Network for Security Training in 5G Industrial Environments

Author(s):  
Stanislav Vakaruk ◽  
Alberto Mozo ◽  
Antonio Pastor ◽  
Diego R. Lopez
2021 ◽  
Vol 111 (03) ◽  
pp. 179-183
Author(s):  
Andreas Fischer ◽  
Thomas Semm ◽  
Michael F. Zäh ◽  
Daniel Spescha ◽  
Nino Ceresa

Der digitale Zwilling als Modell gewinnt sowohl für die Entwicklung neuer Maschinengenerationen als auch für Simulationen parallel zum Betrieb stark an Bedeutung. Zur Erstellung entsprechender Modelle sind moderne flexible Mehrkörpersimulationsprogramme besonders geeignet. Im Rahmen dieses Beitrags wird die Simulationsumgebung MORe präsentiert, die sich unter anderem durch ihre Benutzerfreundlichkeit und ihre Recheneffizienz auszeichnet. Zudem ist die Berücksichtigung von Effekten möglich, die bisher im industriellen Umfeld kaum betrachtet wurden, wie beispielsweise Dämpfung.   The digital twin is becoming increasingly important for the development of new machine generations and for process parallel simulations. Modern flexible multi-body simulation programs are particularly suitable for creating the relevant models. In this paper, the simulation environment MORe is presented, which is characterized by its user-friendliness and its computational efficiency. Furthermore, it is possible to study effects such as damping, which have hardly been considered in industrial environments so far.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1006-P
Author(s):  
BENYAMIN GROSMAN ◽  
ANIRBAN ROY ◽  
DI WU ◽  
NEHA PARIKH ◽  
LOUIS J. LINTEREUR ◽  
...  

2019 ◽  
Vol 2019 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Andreas Deuter ◽  
◽  
Florian Pethig ◽  
Keyword(s):  

The neural network models series used in the development of an aggregated digital twin of equipment as a cyber-physical system are presented. The twins of machining accuracy, chip formation and tool wear are examined in detail. On their basis, systems for stabilization of the chip formation process during cutting and diagnose of the cutting too wear are developed. Keywords cyberphysical system; neural network model of equipment; big data, digital twin of the chip formation; digital twin of the tool wear; digital twin of nanostructured coating choice


2020 ◽  
Author(s):  
Dedy Ariansyaha ◽  
Iñigo Fernàndez del Amo ◽  
John Ahmet Erkoyuncu ◽  
Merwan Agha ◽  
Dominik Bulka ◽  
...  
Keyword(s):  

2020 ◽  
Author(s):  
Ali Al-Yacoubb ◽  
Will Eaton ◽  
Melanie Zimmer ◽  
Achim Buerkle ◽  
Dedy Ariansyaha ◽  
...  

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