Enabling technologies and tools for digital twin
Tóm tắt
Từ khóa
Tài liệu tham khảo
Tao, 2019
Parviainen, 2017, Tackling the digitalization challenge: how to benefit from digitalization in practice, Int J Inf Syst Project Manage, 5, 63
Legner, 2017, Digitalization: opportunity and challenge for the business and information systems engineering community, Bus Inf Syst Eng, 59, 301, 10.1007/s12599-017-0484-2
Tao, 2019, Digital twins and cyber–physical systems towards smart manufacturing and industry 4.0: correlation and comparison, Engineering, 5, 653, 10.1016/j.eng.2019.01.014
Cheng, 2018, Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey, Int J Adv Manuf Technol, 97, 1209, 10.1007/s00170-018-2001-2
Tao, 2018, Digital twin-driven product design, manufacturing and service with big data, Int J Adv Manuf Technol, 94, 3563, 10.1007/s00170-017-0233-1
Tuegel, 2011, Reengineering aircraft structural life prediction using a digital twin, Int J Aerosp Eng, 1, 10.1155/2011/154798
Glaessgen, 2012, The digital twin paradigm for future NASA and US air force vehicles, Proceedings of the 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA; 2012 Apr 23-26, 10.2514/6.2012-1818
Grieves, 2014
Qi, 2018, Digital twin service towards smart manufacturing, Procedia CIRP, 72, 237, 10.1016/j.procir.2018.03.103
Söderberg, 2017, Toward a digital twin for real-time geometry assurance in individualized production, CIRP Ann-Manuf Technol, 66, 137, 10.1016/j.cirp.2017.04.038
Zaccaria, 2018, Fleet monitoring and diagnostics framework based on digital twin of aero-engines, Proceedings of ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition; 2018, June 11-15
Cai, 2017, Sensor data and information fusion to construct digital-twins virtual machine tools for cyber-physical manufacturing, Procedia Manuf, 10, 1031, 10.1016/j.promfg.2017.07.094
Goossens, 2019
Rosen, 2015, About the importance of autonomy and digital twins for the future of manufacturing, IFAC-PapersOnLine, 48, 567, 10.1016/j.ifacol.2015.06.141
Boschert, 2016, 59
Tao, 2018, Digital twin in industry: state-of-the-art, IEEE Trans Industr Inform, 15, 2405, 10.1109/TII.2018.2873186
Tao, 2017, Digital twin workshop: a new paradigm for future workshop, Comput Integr Manuf Syst, 23, 1
Tao, 2019, Five-dimension digital twin model and its ten applications, Comput Integr Manuf Syst, 25, 1
Negri, 2017, A review of the roles of digital twin in CPS-based production systems, Procedia Manuf, 11, 939, 10.1016/j.promfg.2017.07.198
Shafto, 2012
Qi, 2018, Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison, IEEE Access, 6, 3585, 10.1109/ACCESS.2018.2793265
Tao, 2018, Digital twin driven prognostics and health management for complex equipment, CIRP Ann-Manuf Technol, 67, 169, 10.1016/j.cirp.2018.04.055
Tao, 2017, Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing, IEEE Access, 5, 20418, 10.1109/ACCESS.2017.2756069
Tao, 2019, New IT driven service-oriented smart manufacturing: framework and characteristics, IEEE Trans Syst Man Cybern Syst, 49, 81, 10.1109/TSMC.2017.2723764
Schleich, 2017, Shaping the digital twin for design and production engineering, CIRP Ann-Manuf Technol, 66, 141, 10.1016/j.cirp.2017.04.040
Zheng, 2019, An application framework of digital twin and its case study, J Ambient Intell Humaniz Comput, 10, 1141, 10.1007/s12652-018-0911-3
Dassault Systèmes, 2019
Marchal, 2019
2019
2019
DNVGL, 2019
McCannel, 2019
GE Renewable Energy, 2019
Grieves, 2017, 85
Guo, 2019, Modular based flexible digital twin for factory design, J Ambient Intell Humaniz Comput, 10, 1189, 10.1007/s12652-018-0953-6
Tao, 2019, Digital twin-driven product design frameworkJ], Int J Prod Res, 57, 3935, 10.1080/00207543.2018.1443229
Zhang, 2017, A digital twin-based approach for designing and multi-objective optimization of hollow glass production line, IEEE Access, 5, 26901, 10.1109/ACCESS.2017.2766453
Zhang, 2019, A simulation-based approach for plant layout design and production planning, J Ambient Intell Humaniz Comput, 10, 1217, 10.1007/s12652-018-0687-5
Zhang, 2018, Dynamic resource allocation optimization for digital twin-driven smart shopfloor, 1
Sun, 2017, Optimized throughput improvement of assembly flow line with digital twin online analytics, 1833
Senington, 2018, A linked data approach for the connection of manufacturing processes with production simulation models, Procedia CIRP, 70, 440, 10.1016/j.procir.2018.03.243
Vachálek, 2017, The digital twin of an industrial production line within the industry 4.0 concept, Proceedings of 2017 21st International Conference on Process Control (PC), 258, 10.1109/PC.2017.7976223
Coronado, 2018, Part data integration in the shop floor digital twin: mobile and cloud technologies to enable a manufacturing execution system, J Manuf Syst, 48, 25, 10.1016/j.jmsy.2018.02.002
Zhang, 2019, Cloud manufacturing paradigm with ubiquitous robotic system for product customization, Robot Comput Integr Manuf, 60, 12, 10.1016/j.rcim.2019.05.015
Wang, 2016, Combined strength of holons, agents and function blocks in cyber-physical systems, J Manuf Syst, 40, 25, 10.1016/j.jmsy.2016.05.002
Zakrajsek, 2017, The development and use of a digital twin model for tire touchdown health monitoring, 0863
Seshadri, 2017, Structural health management of damaged aircraft structures using digital twin concept, 1675
Liu, 2018, The role of data fusion in predictive maintenance using digital twin, 1949
Kritzinger, 2018, Digital twin in manufacturing: a categorical literature review and classification, IFAC-PapersOnLine, 51, 1016, 10.1016/j.ifacol.2018.08.474
Angrish, 2017, A flexible data schema and system architecture for the virtualization of manufacturing machines (VMM), J Manuf Syst, 45, 236, 10.1016/j.jmsy.2017.10.003
Adamson, 2017, Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems, J Manuf Syst, 43, 305, 10.1016/j.jmsy.2016.12.003
Robinson, 2010, Independent verification and validation of an industrial simulation model, Simulation, 86, 405, 10.1177/0037549709341582
Lei, 2018, Design of data acquisition system based on zigbee for wireless sensor networks, 246, 3036
Wang, 2018, Deep learning for smart manufacturing: methods and applications, J Manuf Syst, 48, 144, 10.1016/j.jmsy.2018.01.003
Wu, 2017, A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing, J Manuf Syst, 43, 25, 10.1016/j.jmsy.2017.02.011
Tao, 2015, Manufacturing service management in cloud manufacturing: overview and future research directions, J Manuf Sci Eng, 137, 10.1115/1.4030510
Schroeder, 2016, Digital twin data modeling with automationml and a communication methodology for data exchange, IFAC-PapersOnLine, 49, 12, 10.1016/j.ifacol.2016.11.115
Yao, 2018, A function block based cyber-physical production system for physical human–robot interaction, J Manuf Syst, 48, 12, 10.1016/j.jmsy.2018.04.010
Sprunk, 2017, An accurate and efficient navigation system for omnidirectional robots in industrial environments, Auton Robots, 41, 473, 10.1007/s10514-016-9557-1
2019
2019
Magargle, 2017, A simulation-based digital twin for model-driven health monitoring and predictive maintenance of an automotive braking system, 132, 35
2019
Zhang, 2019, A simulation-based approach for plant layout design and production planning, J Ambient Intell Humaniz Comput, 10, 1217, 10.1007/s12652-018-0687-5
Gupta, 2012, A review of designing machine tool for leanness, Sadhana, 37, 241, 10.1007/s12046-012-0062-8
2019