An application framework of digital twin and its case study

Yu Zheng1, Sen Yang1, Huanchong Cheng1
1School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China

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Tài liệu tham khảo

Alam KM, El Saddik A (2017) C2PS: a digital twin architecture reference model for the cloud-based cyber-physical systems. Access IEEE 5:2050–2062

Boschert S., Rosen R (2016) Digital twin—the simulation aspect. In: Hehenberger P, Bradley D (eds) Mechatronic futures. Springer, Cham, pp 59–74

Canedo A (2016) Industrial IoT lifecycle via digital twins. In: 2016 International conference on hardware/software codesign and system synthesis (CODES+ISSS), Pittsburgh, PA, pp 1

Damm M (2017) Industrie 4.0—an overview. https://sec.ipa.go.jp/users/seminar/seminar_yokohama_20170227-03.pdf . Accessed 20 Nov 2017

Glaessgen EH, Stargel D (2012) The digital twin paradigm for future NASA and US Air Force vehicles. In: 53rd Structures, structural dynamics, and materials conference: special session on the digital twin. Honolulu, HI, US pp 1–14. IOP Publishing Physics. https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20120008178.pdf

Grieves M (2014) Digital twin: manufacturing excellence through virtual factory replication. White paper. Ameritech Corporation, Chicago

Grieves M, Vickers J (2017) Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. In: Kahlen FJ, Flumerfelt S, Alves A (eds) Transdisciplinary perspectives on complex systems. Springer, Cham, pp 85–113

Haupert J, Xenia Klinge, Blocher A (2017a) CPS-Based Manufacturing with Semantic Object Memories and Service Orchestration for Industrie 4.0 Applications. In: Jeschke S, Brecher C, Song H, Rawat D (eds) Industrial internet of things. Springer, Cham, pp 85–113

Haupert J, Klinge X, Blocher A (2017b) CPS-based manufacturing with semantic object memories and service orchestration for industries 4.0 applications. Industrial internet of things. Springer International Publishing, Basel, pp 203–229

Li C, Mahadevan S, Ling Y et al (2017) Dynamic bayesian network for aircraft wing health monitoring digital twin. AIAA J 55(3):930–941

Li XX, He FZ, Li WD (2018) A cloud-terminal-based cyber-physical system architecture for energy efficient machining process optimization. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-018-0832-1

Pardo N (2015) Digital and physical come together at PTC live global. http://blogs.ptc.com/2015/06/08/digital-and-physical-come-together-at-ptc-live-global/ . Accessed 5 May 2018

Reifsnider Kl, Majumdar P (2013) Multiphysics stimulated simulation digital twin methods for fleet management. In: 54th AIAA/ASME/ASCE/AHS/ASC Structures, structural dynamics, and materials conference. https://doi.org/10.2514/6.2013-1578

Rodič B (2017) Industry 4.0 and the New Simulation Modelling Paradigm. Organizacija 50(3):193–207. https://doi.org/10.1515/orga-2017-0017

Rosen R, von Wichert G, Lo G et al (2015) About the importance of autonomy and digital twins for the future of manufacturing. IFAC-Papers Online 48(3):567–572

Schleich B, Anwer N, Mathieu L et al (2017) Shaping the digital twin for design and production engineering. CIRP Ann Manuf Technol 66(1):141–144

Siano P, Graditi G, Atrigna M, Piccolo A (2013) Designing and testing decision support and energy management systems for smart homes. J Ambient Intell Hum Comput 4(6):651–661

Söderberg R, Wärmefjord K, Carlson JS et al (2017) Toward a Digital Twin for real-time geometry assurance in individualized production. CIRP Ann Manuf Technol 66(1):137–140

Stackpole B (2015) Digital twins land a role in product design. http://www.digitaleng.news/de/digital-twins-land-a-role-in-product-design/ . Accessed 25 May 2018

Tao F, Zhang M, Cheng J et al (2017a) Digital twin workshop: a new paradigm for future workshop. Comput Integr Manuf Syst 23(1):1–9 (in Chinese)

Tao F, Cheng Y, Zhang L et al (2017b) Advanced manufacturing systems: socialization characteristics and trends. J Intell Manuf 28(5):1079–1094

Tao F, Cheng Y, Cheng J et al (2017c) Theories and technologies for cyber-physical fusion in digital twin shop-floor. Comput Integr Manuf Syst 23(8):1603–1611 (in Chinese)

Tuegel EJ, Ingraffea AR, Eason TG et al (2011) Reengineering aircraft structural life prediction using a digital twin. Int J Aerosp Engc. https://doi.org/10.1155/2011/154798

Wang J, Wang K, Wang Y et al (2018) Deep Boltzmann machine based condition prediction for smart manufacturing. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-018-0794-3

Zhang J, Gao L, Qin W et al (2016) Big-data-driven operational analysis and decision-making methodology in intelligent workshop. Comput Integr Manuf Syst 22(5):1220–1228 (in Chinese)

Zhang Z, Wang X, Wang X et al (2018) A simulation-based approach for plant layout design and production planning. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-018-0687-5

Zhuang C, Liu J, Xiong H et al (2017) Connotation, architecture and trends of product digital twin. Comput Integr Manuf Syst 23(4):753–768 (in Chinese)