The Evolution from Digital Mock-Up to Digital Twin

This paper summarizes the development and evolution from digital mock-up (DMU) to digital twin (DT) by clarifying the connotation of DT from prospective of digital product definition (DPD). Firstly, taking Airbus as example, the evolution of DMU is introduced, with the detailed analysis of configured DMU, functional DMU, and industrial DMU. Secondly, based on the literature review of DT, the definition, purpose and several applications of DT concept are clearly expounded. Finally, the augmentation for DT and DPD’s relationship are deduced.

[1]  Jian Zhang,et al.  How to model and implement connections between physical and virtual models for digital twin application , 2020 .

[2]  Pai Zheng,et al.  A generic tri-model-based approach for product-level digital twin development in a smart manufacturing environment , 2020, Robotics Comput. Integr. Manuf..

[3]  Xun Xu,et al.  Cloud-based manufacturing equipment and big data analytics to enable on-demand manufacturing services , 2019, Robotics and Computer-Integrated Manufacturing.

[4]  Jie Zhang,et al.  The modelling and operations for the digital twin in the context of manufacturing , 2018, Enterp. Inf. Syst..

[5]  Shuichi Fukuda,et al.  FDMU - Functional Spatial Experience Beyond DMU? , 2013, ISPE CE.

[6]  Chaoyang Zhang,et al.  Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model , 2020, Robotics Comput. Integr. Manuf..

[7]  Fei Tao,et al.  Digital twin-driven product design, manufacturing and service with big data , 2017, The International Journal of Advanced Manufacturing Technology.

[8]  R. Garbade,et al.  DMU@Airbus — Evolution of the Digital Mock-up (DMU) at Airbus to the Centre of Aircraft Development , 2007 .

[9]  Cunbo Zhuang,et al.  Digital twin-based assembly data management and process traceability for complex products , 2020 .

[10]  Michael W. Grieves,et al.  Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems , 2017 .

[11]  José Luis Menéndez Cuñado,et al.  Implementation of the iDMU for an Aerostructure Industrialization in AIRBUS , 2013 .

[12]  Dimitris Kiritsis,et al.  Ontologies in the context of product lifecycle management: state of the art literature review , 2015 .

[13]  Xiaojun Liu,et al.  Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin , 2019, IEEE Access.

[14]  Detlef Zühlke,et al.  Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry , 2016 .

[15]  Roland Rosen,et al.  About The Importance of Autonomy and Digital Twins for the Future of Manufacturing , 2015 .

[16]  Edward H. Glaessgen,et al.  The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles , 2012 .

[17]  E. Koonin.  The Logic of Chance: The Nature and Origin of Biological Evolution , 2011 .

[18]  Fernando Mas Morate,et al.  Collaborative Engineering: an Airbus case study , 2013 .

[19]  Roby Lynn,et al.  Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system , 2018, Journal of Manufacturing Systems.

[20]  Kevin I-Kai Wang,et al.  Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues , 2020, Robotics Comput. Integr. Manuf..