Digital Twin: Recent Development and Future Trend from Bibliometrics Perspective

Abstract

Abstract: With the rapid development of internet of things, cloud computing and machine learning, digital twin technology gradually became one of the most important technologies in the 21st century. By means of bibliometrics, the research fields, countries/regions, journals, keywords, research authors, and highly cited papers of 486 digitally twin related papers retrieved were analyzed in detail.The results show that as a new research topic, digital twin has strong excavation ability and has been widely used in many fields such as manufacturing engineering, computer science and electronic engineering. Driven by the rigid demands of intelligent manufacturing, digital twin technology possesses a very good theoretical research and technological application prospects in the future.

Key words: bibliometrics, digital twin, research progress, intelligent manufacturing

摘要： 伴随物联网技术、云计算及机器学习等新一代信息技术的迅速发展，数字孪生技术已逐渐成为新的研究热点。基于文献计量法，对1994年以来全球486篇数字孪生相关论文的研究领域、国家与地区、论文发布期刊、关键词、研究作者及高被引论文等模块展开详细分析。结果表明，数字孪生作为一个新的研究课题，其技术挖掘性强，已在制造工程、计算机科学及电子工程等领域得到了广泛应用。在智能制造刚性需求的驱动下，数字孪生技术在未来具有非常好的理论研究和技术应用前景。

关键词: 文献计量, 数字孪生, 研究进展, 智能制造

CLC Number:

TP29

CHEN Yong, CHEN Yi, PEI Zhi, WANG Cheng. Digital Twin: Recent Development and Future Trend from Bibliometrics Perspective[J]. China Mechanical Engineering.

陈勇, 陈燚, 裴植, 王成. [数字孪生驱动的智能制造]基于文献计量的数字孪生研究进展分析[J]. 中国机械工程.

References

[1]CHWSHMEHDOOST A, STROUMBOULIS S , O'CONNOR B , et al. Dynamic Characteristics of a Resonating Force Transducer[J]. Sensors and Actuators A (Physical), 1994, 41(1/3):74-77.

[2]GRIEVES M. Digital Twin:Manufacturing Excellence through Virtual Factory Replication[EB/OL].[2016-12-20]. https:∥www.researchgate.net/publication/275211047_Digital_Twin_Manufacturing_Excellence_through_Virtual_Factory_Replication.

[3]GRIEVES M .Virtually Perfect: Driving Innovative and Lean Products through Productlifecycle Management[M]. Cocoa Beach: Space Coast Press,2011.

[4]SHAFTTOS M, CONROY M, DOYLE R, et al. NASA Technology Roadmap: Modeling Simulation Information Technology Processing Roadmap Technology Area[J/OL].[2017-10-09]. https:∥www.researchgate.net/publication/280310295_Modeling_Simulation_Information_Technology_and_Processing_Roadmap.

[5]TUEGEL E J, INGRAFFEA A R, EASON T G, et al. Reengineering Aircraft Structural Lifeprediction Using a Digital Twin[J].International Journal of Aerospace Engineering,2011,2011:1-14.

[6]KRAFT E M. The US Air Force Digital Threaddigital Twin-life Cycle Integration and Use of Computational and Experimental Knowledge[C]∥Proceeding of 54th AIAA Aerospace Sciences Meeting. San Diego, 2016: 1-12.

[7]THOMAS H J，SCHOCK C，LEHMANN C, et al. The Digital Twin: Demonstrating the Potential of Real Time Data Acquisition Inproduction Systems[J].Procedia Manufacturing,2017,9:113-120.

[8]TUEGEL E J , INGRAFFEA A R , EASON T G , et al. Reengineering Aircraft Structural Life Prediction Using a Digital Twin[J]. International Journal of Aerospace Engineering, 2011, 2011:1-15.

[9]TAO F, CHENG J F, QI Q L, et al. Digital Twin-driven Product Design, Manufacturing and Service with Big Data [J]. International Journal of Advanced Manufacturing Technology, 2018, 94(9/12): 3563-3576.

[10]SCHLEICH B , ANWER N， MATHIEU L,et al. Shaping the Digital Twin for Design and Production Engineering[J]. CIRP Annals - Manufacturing Technology,2017,66(1):141-144.

[11]NEGRI E , FUMAGALLI L , MACCHI M . A Review of the Roles of Digital Twin in CPS-based Production Systems[J]. Procedia Manufacturing, 2017, 11:939-948.

[12]ALAM K M, SADDIK A. C2PS: a Digital Twin Architecture Reference Model for the Cloud-based Cyber-physical Systems[J].IEEE Access,2017, 5:2050-2062.

[13]TAO F, ZHANG M. Digital Twin Shop-floor: a New Shop-floor Paradigm towards Smart Manufacturing [J]. IEEE Access, 2017, 5:20418-20427.

[14]QI Q L, TAO F. Digital Twin and Big Data towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison [J]. IEEE Access, 2018, 6:3585-3593.

[15]ZHANG H, LIU Q, CHEN X, et al. A Digital Twin-based Approach for Designing and Multi-objective Optimization of Hollow Glass Production Line [J]. IEEE Access, 2017, 5:26901-26911.

[16]LIU T, ZHANG L, YANG Y, et al. A Novel Cloud-based Framework for the Elderly Healthcare Services Using Digital Twin [J]. IEEE Access, 2019, 7:49088-49101.

[17]FRAGA-LAMAS P, FERNANDEZ-CARAMES T M. A Review on Blockchain Technologies for an Advanced and Cyber-Resilient Automotive Industry [J]. IEEE Access, 2019, 7:17578-17598.

[18]LAAKI H, MICHE Y, TAMMI K. Prototyping a Digital Twin for Real Time Remote Control over Mobile Networks: Application of Remote Surgery [J]. IEEE Access, 2019, 7:20325-20336.

[19]XU Y, SUN Y M, LIU X L, et al. A Digital-twin-assisted Fault Diagnosis Using Deep Transfer Learning [J]. IEEE Access, 2019, 7:19990-19999.

[20]LIU J F ,ZHOU H G,LIU X J, et al.Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin[J]. IEEE Access, 2019, 7:19312-19323.

[21]ZHAO R L, YAN D X, LIU Q, et al. Digital Twin-driven Cyber-physical System for Autonomously Controlling of Micro Punching System [J]. IEEE Access, 2019, 7:9459-9469.

[22]BONNARD R, HASCOET J Y, MOGNOL P, et al. STEP-NC Digital Thread for Additive Manufacturing: Data Model, Implementation and Validation [J]. International Journal of Computer Integrated Manufacturing, 2018, 31(11): 1141-1160.

[23]DAMJANOVIC-BEHRENDT V, BEHRENDT W. An Open Source Approach to the Design and Implementation of Digital Twins for Smart Manufacturing [J]. International Journal of Computer Integrated Manufacturing, 2019,32(3):1-19.

[24]HAN Y S, LEE J, LEE J, et al. 3D CAD Data Extraction and Conversion for Application of Augmented/Virtual Reality to the Construction of Ships and Offshore Structures[J].International Journal of Computer Integrated Manufacturing, 2019,32(7):658-668.

[25]DELBRUGGER T, ROSSMANN J. Representing Adaptation Options in Experimentable Digital Twins of Production Systems [J]. International Journal of Computer Integrated Manufacturing, 2019,32(4/5):352-365.

[26]PARK K T, NAM Y W, LEE H S, et al. Design and Implementation of a Digital Twin Application for a Connected Micro Smart Factory [J]. International Journal of Computer Integrated Manufacturing, 2019,32(9):596-614.

[27]PARK K T, IM S J, KANG Y S, et al. Service-oriented Platform For Smart Operation of Dyeing and Finishing Industry [J]. International Journal of Computer Integrated Manufacturing, 2019, 32(3): 307-326.

[28]NIKOLAKIS N, ALEXOPOULOS K, XANTHAKIS E, et al. The Digital Twin Implementation for Linking the Virtual Representation of Human-based Production Tasks to Their Physical Counterpart in the Factory-floor [J]. International Journal of Computer Integrated Manufacturing, 2019, 32(1): 1-12.

[29]SLAVKOVIC N, ZIVANOVIC S, MILUTINOVIC D. An Indirect Method of Industrial Robot Programming for Machining Tasks Based on STEP-NC [J]. International Journal of Computer Integrated Manufacturing, 2019, 32(1): 43-57.

[30]STURM L D, WILLIAMS C B, CAMELIO J A, et al. Cyber-physical Vulnerabilities in Additive Manufacturing Systems: a Case Study Attack on the STL File with Human Subjects [J]. Journal of Manufacturing Systems, 2017, 44(1):154-164.

[31]ANGRISH A, STARLY B, LEE Y S, et al. A Flexible Data Schema and System Architecture for the Virtualization of Manufacturing Machines (VMM) [J].Journal of Manufacturing Systems, 2017, 45:236-247.

[32]LU Y Q, XU X. Resource Virtualization: a Core Technology for Developing Cyber-physical Production Systems [J]. Journal of Manufacturing Systems, 2018, 47:128-140.

[33]BONNARD R, HASCOET J Y, MOGNOL P, et al. Hierarchical Object-oriented Model(HOOM) for Additive Manufacturing Digital Thread [J]. Journal of Manufacturing Systems, 2019, 50:36-52.

[34]CORONADO P D U, LYNN R, LOUHICHI W, et al. Part Data Integration in the Shop Floor Digital Twin: Mobile and Cloud Technologies to Enable a Manufacturing Execution System [J]. Journal of Manufacturing Systems, 2018, 48:25-33.

[35]YAN X Y, BALLU A. Tolerance Analysis Using Skin Model Shapes and Linear Complementarity Conditions [J]. Journal of Manufacturing Systems, 2018, 48:140-156.

[36]SODERBERG R, WARMEFJORD K, CARLSON J S, et al. Toward a Digital Twin for Real-time Geometry Assurance in Individualized Production[J].CIRP Annals-Manufacturing Technology,2017,66(1): 137-140.

[37]TAO F, ZHANG M, LIU Y S, et al. Digital Twin Driven Prognostics and Health Management for Complex Equipment [J]. CIRP Annals-Manufacturing Technology, 2018, 67(1): 169-172.

[38]MORSE E, DANTAN J Y, ANWER N, et al. Tolerancing: Managing Uncertainty from Conceptual Design to Final Product [J]. CIRP Annals-Manufacturing Technology, 2018, 67(2): 695-717.

[39]SODERBERG R, WARMEFJORD K, MADRID J, et al. An Information and Simulation Framework for Increased Quality in Welded Components [J]. CIRP Annals-Manufacturing Technology, 2018, 67(1): 165-168.

[40]HELU M, JOSEPH A, HEDBERG T. A Standards-based Approach for Linking As-planned to As-fabricated Product Data [J]. CIRP Annals-Manufacturing Technology, 2018, 67(1): 487-490.

[41]ZHUANG C B, LIU J H, XIONG H. Digital Twin-based Smart Production Management and Control Framework for the Complex Product Assembly Shop-floor [J]. International Journal of Advanced Manufacturing Technology, 2018, 96(1/4): 1149-1163.

[42]CHENG Y, ZHANG Y P, JI P, et al. Cyber-physical Integration for Moving Digital Factories Forward towards Smart Manufacturing: a Survey [J]. International Journal of Advanced Manufacturing Technology, 2018, 97(1/4): 1209-1221.

[43]LIU J F, ZHOU H G, TIAN G Z, et al. Digital Twin-based Process Reuse And Evaluation Approach for Smart Process Planning [J]. International Journal of Advanced Manufacturing Technology, 2019, 100(5/8): 1619-1634.

[44]TOQUICA J S, ZIVANOVIC S, ALVARES A J, et al. A STEP-NC Compliant Robotic Machining Platform for Advanced Manufacturing [J]. International Journal of Advanced Manufacturing Technology, 2018, 95(9/12): 3839-3854.

[45]GUO F Y, ZOU F, LIU J H, et al. Working Mode in Aircraft Manufacturing Based on Digital Coordination Model [J]. International Journal of Advanced Manufacturing Technology, 2018, 98(5/8): 1547-1571.

[46]SCHROEDER G N, STEINMETZ C, PEREIRA C E, et al. Digital Twin Data Modeling with Automation ML and a Communication Methodology for Data Exchange [J]. IFAC Papersonline, 2016, 49(30): 12-17.

[47]ROSEN R, von WICHERT G, LO G, et al. Aboutthe Importance of Autonomy and Digital Twins for the Future of Manufacturing [J]. IFAC Papersonline, 2015, 48(3): 567-572.

[48]WEYER S, MEYER T, OHMER M, et al. Future Modeling and Simulation of CPS-based Factories: an Example from the Automotive Industry [J]. IFAC Papersonline, 2016, 49(31): 97-102.

[49]SCHLUSE M, ATORF L, ROSSMANN J, et al. Experimentable Digital Twins for Model-based Systems Engineering and Simulation-based Development [C]∥2017 11th Annual IEEE International Systems Conference. New York,2017: 628-635.

[50]SCHLUSE M, ROSSMANN J. From Simulation to Experimentable Digital Twins Simulation-based Development and Operation of Complex Technical Systems [M]. New York: IEEE, 2016.

[51]ZHANG M, ZUO Y, TAO F, et al. Equipment Energy Consumption Management in Digital Twin Shop-floor: a Framework and Potential Applications [C]∥2018 IEEE 15th International Conference on Networking, Sensing and Control. Zhuhai, 2018: 17769520.

[52]TAO F, ZHAN H, LIU A, et al. Digital Twin in Industry: State-of-the-art [J]. IEEE Transactions on Industrial Informatics, 2019, 15(4): 2405-2415.

[53]HELU M, HEDBERG T. Enabling Smart Manufacturing Research and Development Using a Product Lifecycle Test Bed [C]∥43rd North American Manufacturing Research Conference.Amsterdam,2015: 86-97.

[54]HEDBERG T, LUBELL J, FISCHER L, et al. Testing the Digital Thread in Support of Model-based Manufacturing and Inspection [J]. Journal of Computing and Information Science in Engineering, 2016, 16(2): 021001.

[55]SCHLUSE M, PRIGGEMEYER M, ATORF L, et al. Experimentable Digital Twins-streamlining Simulation-based Systems Engineering for Industry 4.0 [J].IEEE Transactions on Industrial Informatics, 2018, 14(4): 1722-1731.