Demonstrating and Evaluating the Digital Twin Based Virtual Factory for Virtual Prototyping

2021 ◽  
pp. 297-304
Author(s):  
Emre Yildiz ◽  
Charles Møller ◽  
Arne Bilberg
Author(s):  
Emre Yildiz ◽  
◽  
Charles Møller ◽  
Arne Bilberg ◽  
Jonas Kjær Rask ◽  
...  

Shortening lifecycles and increasing complexity make product and production lifecycle processes more challenging than ever for manufacturing enterprises. Virtual Prototyping (VP) technologies promise a viable solution to handle such challenges in reducing time and physical builds as well as increasing quality. In previous studies, the Digital Twin (DT) based Virtual Factory (VF) concept showed significant potential to handle co-evolution by integrating 3D factory and product models with immersive and interactive 3D Virtual Reality (VR) simulation technology as well as real-time bidirectional data synchronisation between virtual and physical production systems. In this article, we present an extension to the paper “Demonstrating and Evaluating the Digital Twin Based Virtual Factory for Virtual Prototyping” presented at CARV2021. The study presents an evaluation by industry experts of the DT based VF concept for VP in the context of New Product Introduction (NPI) processes. The concept is demonstrated in two cases: wind turbine blade manufacturing and nacelle assembly operations at Vestas Wind Systems A/S. The study shows that the VF provides an immersive virtual environment, which allows the users to reduce the time needed for prototyping. The industry experts propose several business cases for the introduced solution and find that the phases that would have the most gain are the later ones (production) where the product design is more mature.


Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 216-221 ◽  
Author(s):  
Emre Yildiz ◽  
Charles Møller ◽  
Arne Bilberg
Keyword(s):  

Author(s):  
Pierre Major ◽  
Guoyuan Li ◽  
Houxiang Zhang ◽  
Hans Petter Hildre

Real-time digital twins of ships in operation find many applications such as predictive maintenance, climbing the ladders of ship autonomy, and offshore operational excellence. The literature describes a focus on digital twinning of individual equipment such as navigation, propulsion, engine and power system, or crane. Yet, digital twinning and virtual prototyping for offshore operations are in their infancy and the onboard digitisation hardware and the telecommunication infrastructure are becoming accessible and affordable. Previous work has failed to address the need for building a holistic model and thus contextualising the equipment with the state of the whole vessel. A prototype of an online digital twin of a research vessel is proposed, its architecture described and its suitability for virtual prototyping demonstrated in a remote control centre. The study shows a viable proof of concept for remote monitoring and crew assistance in nominal and contingency response for offshore crane operations.


2021 ◽  
Vol 114 (1-2) ◽  
pp. 185-203
Author(s):  
Emre Yildiz ◽  
Charles Møller ◽  
Arne Bilberg
Keyword(s):  

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

2011 ◽  
Vol 10 (8) ◽  
pp. 1197-1205 ◽  
Author(s):  
Monica Enescu ◽  
Catalin Alexandru

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


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