Digital Twin: Methodologies for modeling the Work Environment during the Design and Development processes
Nada, O. (2022). Digital Twin: Methodologies for modeling the Work Environment during the Design and Development processes. EKB Journal Management System, 12(5), 225-242. doi: 10.21608/idj.2022.260602
Osama Ali ElSayed Nada. "Digital Twin: Methodologies for modeling the Work Environment during the Design and Development processes". EKB Journal Management System, 12, 5, 2022, 225-242. doi: 10.21608/idj.2022.260602
Nada, O. (2022). 'Digital Twin: Methodologies for modeling the Work Environment during the Design and Development processes', EKB Journal Management System, 12(5), pp. 225-242. doi: 10.21608/idj.2022.260602
Nada, O. Digital Twin: Methodologies for modeling the Work Environment during the Design and Development processes. EKB Journal Management System, 2022; 12(5): 225-242. doi: 10.21608/idj.2022.260602

Digital Twin: Methodologies for modeling the Work Environment during the Design and Development processes

International Design Journal
Article 23, Volume 12, Issue 5 - Serial Number 48, September and October 2022, Page 225-242  XML PDF (3.58 MB)
Document Type: Original Article
DOI: 10.21608/idj.2022.260602
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Author
Osama Ali ElSayed Nada
Asst. Prof. of Industrial Design Department, Faculty of Applied Arts – Benha University
Abstract
Background and problem: Through the important role of modeling different work environments as one of the building blocks of design and development processes, which provides the designer with the requisite processed data and defects within the target interaction environment, and in the context of the massive evolution of the innovations in existing technology, the emergence of new systems products with complex design and manufacturing processes and with high production costs, the research problem is that the new challenges for the designer in the modeling process appear to be a fundamental and indispensable need for the designer, as well as the lack of explanatory research that develops the design process, and through it the designer can challenge the rigid concepts of traditional modeling that have been going on for so long. Digital Twin is one of the advanced digital modeling techniques that opens a new space for Ergonomics specialists to formulate the working environment, providing them with the knowledge and methodology that will enable them to develop all possible future scenarios, and to conduct modeling and simulation processes to avoid all flaws at an early stage.
Objectives: The research aims to provide a general framework that uses Digital Twin as one of the advanced digital simulation models to simulate the stages of design processes for industrial products/systems in general, and to use it to constantly also check the effectiveness and validity of all the all procedures followed in each step taken by the designer during design and development processes. The Digital Twin serves as an important indicator in the measurement and verification processes, by correcting all future errors that may occur during the early stages of the planning and design process and not in the advanced stages such as manufacturing and production.
Methodology: The research relied on the inductive approach to study the problem, achieve the research hypothesis, and indicate its importance.
Results : The research provides a methodological framework based on Digital Twin modeling, which aims to assess the overall performance of the work environment during design and development processes by modeling and rigorously examining 3D hypothetical scenarios, in which way all indicators of risk that may occur can be evaluated and proposed solutions presented.The Digital Twin can study any situation with a high production cost, analyze tasks within different stages of operations, and infer the effectiveness of the proposed framework by modeling the entire work cycle. Risks can also be assessed early for work conditions, work force, manual handling, repetitive procedures, and sources of overload mechanical load.Digital twin simulation identifies issues regarding expected risk sources, that that were previously monitored and took up to several hours, therefore, adjustments would be made in the proposed scenario then conduct another simulation based on solutions testing. Hence, we would have significant reduction in the overall risk index within production processes.The proposed framework allows through Digital Twin modeling to evaluate the work environment in a faster and more accurate way, as the evaluation times are significantly reduced, in addition to the possibility of repeating the evaluation an infinite number of times to reach the closest and optimal solution, as well as the implementation of final experimental data on manufacturing processes and actual use to obtain impressive results.The procedures followed within the Digital Twin modeling provide improvements to the inspection techniques during the actual measurement and verification processes, by providing logical real-time analysis of the interaction process, and then achieving innovative solutions in the working environment and making changes in the overall planning by simulation before starting the actual implementation processes.Digital twin technology allows direct communication between the elements of interaction within work environments, due to the usage of its own simulation that takes into account physical laws, to ensure more disciplined factors within the interaction environment, and to immerse users more realistically than previous technologies, which makes safety assessments clearer, and closer to the actual reality within the real interaction environment.
Keywords
Ergonomics; Interaction Design; Digital Twin; Work Environment Modeling; HRI; Robot Ergonomics
References

1.     Adamenko, D., Kunnen, S., & Nagarajah, A. (2020). Digital Twin and product lifecycle management: What is the difference? Product Lifecycle Management Enabling Smart X, 150–162. https://doi.org/10.1007/978-3-030-62807-9_13

2.     Adamenko, D., Kunnen, S., Pluhnau, R., Loibl, A., & Nagarajah, A. (2020). Review and comparison of the methods of designing the digital twin. Procedia CIRP, 91, 27–32. https://doi.org/10.1016/j.procir.2020.02.146

3.     Ahmed, ElSamany AbdElmoteleb, Dawood, Mina Eshaq Tawfilis, & Ebrahim, Omar Mohamed Ahmed. (2022). Ergonomics For Upgrading User Experience and Improve Usability. Alqulzum Scientific Journal, 13. Article 5. 93-110.

4.     Albert, J. A., Owolabi, V., Gebel, A., Brahms, C. M., Granacher, U., & Arnrich, B. (2020). Evaluation of the pose tracking performance of the Azure Kinect and Kinect v2 for Gait Analysis in comparison with a gold standard: A pilot study. Sensors, 20(18), 5104. https://doi.org/10.3390/s20185104

5.     Amer, Ayman Mouhamed Afifi, & Dawood, Mina Eshaq Tawfilis. (2020). Robot Ergonomics: A cognitive scenario of the new Behavioral Objects. International Design Journal, 10 (3). Article 26. 319-331. DOI: 10.21608/idj.2020.96353.

6.     Augustine, P. (2020). The industry use cases for the Digital Twin Idea. Advances in Computers, 117(1), 79–105. https://doi.org/10.1016/bs.adcom.2019.10.008

7.     Baek, S.-Y., & Lee, K. (2012). Parametric human body shape modeling framework for human-centered product design. Computer-Aided Design, 44(1), 56–67. https://doi.org/10.1016/j.cad.2010.12.006

8.     Barras, C. (2022). Ancient smells reveal secrets of Egyptian tomb. Nature, 604(7906), 414–414. https://doi.org/10.1038/d41586-022-00903-z

9.     Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019). A survey on Digital Twin: Definitions, characteristics, applications, and design implications. IEEE Access, 7, 167653–167671. https://doi.org/10.1109/access.2019.2953499

10.  Becker, B. J. (2008). Conversation with the Sidereal Messenger Recently Sent to Mankind by Galileo Galilei, Mathematician of Padua (1610) by Johannes Kepler (1571-1630). Week 4 readings. Retrieved August 17, 2022, from http://faculty.humanities.uci.edu/bjbecker/exploringthecosmos/week4e.html

11.  BENTLEY . (2022). Digital Twin Services for Infrastructure: Bentley Systems. Digital Twin Services for Infrastructure | Bentley Systems. Retrieved August 20, 2022, from https://www.bentley.com/en/products/product-line/digital-twins

12.  Berni, A., & Borgianni, Y. (2020). Applications of virtual reality in engineering and product design: Why, what, how, when and where. Electronics, 9(7), 1064. https://doi.org/10.3390/electronics9071064

13.  Bier, B., & Houdin, J.-P. (2009). The secret of the great pyramid: How one man's obsession led to the solution of Ancient Egypt's Greatest Mystery. Smithsonian.

14.  Bilberg, A., & Malik, A. A. (2019). Digital Twin Driven Human–Robot Collaborative Assembly. CIRP Annals, 68(1), 499–502. https://doi.org/10.1016/j.cirp.2019.04.011

15.  Brylina, O. G., Kuzmina, N. N., & Osintsev, K. V. (2020). Modeling as the foundation of Digital Twins. 2020 Global Smart Industry Conference (GloSIC). https://doi.org/10.1109/glosic50886.2020.9267812

16.  Centomo, S., Dall'Ora, N., & Fummi, F. (2020). The design of a digital-twin for predictive maintenance. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa46521.2020.9212071

17.  Chandrasegaran, S. K., Ramani, K., Sriram, R. D., Horváth, I., Bernard, A., Harik, R. F., & Gao, W. (2013). The evolution, challenges, and future of knowledge representation in product design systems. Computer-Aided Design, 45(2), 204–228. https://doi.org/10.1016/j.cad.2012.08.006

18.  Chang, K. H. (2014). Product design modeling using CAD/CAE: the computer aided engineering design series. Academic Press.

19.  Cornish, P. (2022, June 17). Read: Science fiction in the age of witchcraft. We The Curious. Retrieved August 17, 2022, from https://www.wethecurious.org/curious-stuff/stargazing-night-sky/science-fiction-witchcraft

20.  Dawood, Mina Eshaq Tawfilis. (2017). 4D Ergonomics Modeling in the Interaction Design field. Unpublished Master Thesis. Arab Republic of Egypt: Faculty of Applied Arts, Helwan University.

21.  Dawood, Mina Eshaq Tawfilis. (2021a). The Impact of Interaction Design in Innovating a Scenario of Robot Ergonomics. Unpublished Ph.D. Thesis. Arab Republic of Egypt: Faculty of Applied Arts, Damietta University.

22.  Dawood, Mina Eshaq Tawfilis. (2021b). Robot Ergonomics: Giving the Behavioral Objects a dynamic presence. International Design Journal, 11(5). Article 23. 293-304. DOI: 10.21608/idj.2021.191705.

23.  Demirel, H. O., & Duffy, V. G. (2007). Applications of digital human modeling in industry. Digital Human Modeling, 824–832. https://doi.org/10.1007/978-3-540-73321-8_93

24.  Dimenco, e. (2022). Simulated reality. Dimenco. Retrieved July 5, 2022, from https://www.dimenco.eu/simulated-reality

25.  Durão, L. F., Haag, S., Anderl, R., Schützer, K., & Zancul, E. (2018). Digital twin requirements in the context of industry 4.0. Product Lifecycle Management to Support Industry 4.0, 204–214. https://doi.org/10.1007/978-3-030-01614-2_19

26.  Farkas, I. (2019, January 17). 10 amazing secrets recently revealed at Historical Landmarks. Listverse. Retrieved August 18, 2022, from https://listverse.com/2019/01/02/10-amazing-secrets-recently-revealed-at-historical-landmarks/

27.  Fast-Berglund, Å., Gong, L., & Li, D. (2018). Testing and validating extended reality (XR) technologies in manufacturing. Procedia Manufacturing, 25, 31–38. https://doi.org/10.1016/j.promfg.2018.06.054

28.  Ferguson, S., Bennett, E., & Ivashchenko, A. (2017). Digital twin tackles design challenges. World Pumps, 2017(4), 26–28. https://doi.org/10.1016/s0262-1762(17)30139-6

29.  Fjeld, M. (2003). Introduction: Augmented reality-usability and collaborative aspects. International Journal of Human-Computer Interaction, 16(3), 387–393. https://doi.org/10.1207/s15327590ijhc1603_1

30.  Freist, R. (2018, October 2). Digital Twin: Boeing aims to virtualize the development of aircraft. https://www.hannovermesse.de. Retrieved August 2, 2022, from https://www.hannovermesse.de/en/news/news-articles/boeing-aims-to-virtualize-the-development-of-aircraft

31.  Gehrmann, C., & Gunnarsson, M. (2020). A digital twin based industrial automation and Control System Security Architecture. IEEE Transactions on Industrial Informatics, 16(1), 669–680. https://doi.org/10.1109/tii.2019.2938885

32.  Geiger, C., Oppermann, L., & Reimann, C. (2003). 3D-registered interaction-surfaces in augmented reality space. 2003 IEEE International Augmented Reality Toolkit Workshop. https://doi.org/10.1109/art.2003.1320417

33.  Gilles, W. (1991). Form organization: new design procedures for numerical control. Oxford: Butterworth-Heinemann.

34.  Glaessgen, E., & Stargel, D. (2012). The Digital Twin Paradigm for future NASA and U.S. Air Force Vehicles. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference≪BR≫20th AIAA/ASME/AHS Adaptive Structures Conference≪BR≫14th AIAA. https://doi.org/10.2514/6.2012-1818

35.  Global, E. Y. (2019, December 4). How a digital twin can model product life cycle management complexity. EY. Retrieved August 20, 2022, from https://www.ey.com/en_gl/consulting/how-a-digital-twin-can-model-product-life-cycle-management-complexity

36.  Guo, J., Zhao, N., Sun, L., & Zhang, S. (2018). Modular based flexible digital twin for factory design. Journal of Ambient Intelligence and Humanized Computing, 10(3), 1189–1200. https://doi.org/10.1007/s12652-018-0953-6

37.  Hague, S. (2021, March 31). Interview with Jean-Pierre Houdin. Sharon Janet Hague, Author. Retrieved August 18, 2022, from https://sharonjanethague.com/interview-with-jean-pierre-houdin/

38.  Havard, V., Jeanne, B., Lacomblez, M., & Baudry, D. (2019). Digital Twin and virtual reality: A co-simulation environment for design and assessment of Industrial Workstations. Production & Manufacturing Research, 7(1), 472–489. https://doi.org/10.1080/21693277.2019.1660283

39.  History.com Editors. (2009, October 14). Egyptian pyramids. History.com. Retrieved August 18, 2022, from https://www.history.com/topics/ancient-history/the-egyptian-pyramids

40.  Howell, E. (2022, July 28). Russia wants to build its own space station, as early as 2028. Space.com. Retrieved August 17, 2022, from https://www.space.com/russian-space-station-ross-2028-timeline

41.  Jones, A. (2022, August 13). See the huge solar wings of China's Space Station in motion above Earth (video). Space.com. Retrieved August 17, 2022, from https://www.space.com/china-tiangong-space-station-solar-array-video

42.  Jones, D. (2021). Artificial Cognitive Systems: The next generation of the Digital Twin. an opinion. Digital Twin, 1, 3. https://doi.org/10.12688/digitaltwin.17440.1

43.  Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020). Characterising the Digital Twin: A Systematic Literature Review. CIRP Journal of Manufacturing Science and Technology, 29, 36–52. https://doi.org/10.1016/j.cirpj.2020.02.002

44.  Kent, L., Snider, C., Gopsill, J., & Hicks, B. (2021). Mixed reality in Design Prototyping: A systematic review. Design Studies, 77, 101046. https://doi.org/10.1016/j.destud.2021.101046

45.  Kharvari, F., & Kaiser, L. E. (2022). Impact of extended reality on architectural education and the design process. Automation in Construction, 141, 104393. https://doi.org/10.1016/j.autcon.2022.104393

46.  Kim, H., Park, J. H., Hwang, H., & Lee, C.-M. (2007). Evaluation of Navy shipboard habitability for a warship design using human model. Digital Human Modeling, 884–893. https://doi.org/10.1007/978-3-540-73321-8_100

47.  Kong, T., Hu, T., Zhou, T., & Ye, Y. (2021). Data Construction Method for the applications of Workshop Digital Twin System. Journal of Manufacturing Systems, 58, 323–328. https://doi.org/10.1016/j.jmsy.2020.02.003

48.  Korovin, G. (2021). Modeling the digital transformation of the region’s industry. Lecture Notes in Information Systems and Organisation, 49–55. https://doi.org/10.1007/978-3-030-73261-5_5

49.  Kraatz, J., Sanchez, A., & Hampson, K. (2014). Digital Modeling, Integrated Project Delivery and Industry Transformation: An australian case study. Buildings, 4(3), 453–466. https://doi.org/10.3390/buildings4030453

50.  Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018). Digital Twin In Manufacturing: A categorical literature review and classification. IFAC-PapersOnLine, 51(11), 1016–1022. https://doi.org/10.1016/j.ifacol.2018.08.474

51.  La Nasa, J., Degano, I., Modugno, F., Guerrini, C., Facchetti, F., Turina, V., Carretta, A., Greco, C., Ferraris, E., Colombini, M. P., & Ribechini, E. (2022). Archaeology of the invisible: The scent of kha and merit. Journal of Archaeological Science, 141, 105577. https://doi.org/10.1016/j.jas.2022.105577

52.  Lee, S., Chen, T., Kim, J., Kim, G. J., Han, S., & Pan, Z. geng. (2004). Affective property evaluation of virtual product designs. IEEE Virtual Reality 2004, 207–292. https://doi.org/10.1109/vr.2004.1310076

53.  Lian, L., & Yan, Y. (2022). Digital Visual Sensing Design Teaching Using Digital Twins. Advances in Civil Engineering, 2022, 1–11. https://doi.org/10.1155/2022/9311246

54.  Liu, M., Fang, S., Dong, H., & Xu, C. (2021). Review of digital twin about concepts, technologies, and Industrial Applications. Journal of Manufacturing Systems, 58, 346–361. https://doi.org/10.1016/j.jmsy.2020.06.017

55.  Liu, Q., Leng, J., Yan, D., Zhang, D., Wei, L., Yu, A., Zhao, R., Zhang, H., & Chen, X. (2021). Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system. Journal of Manufacturing Systems, 58, 52–64. https://doi.org/10.1016/j.jmsy.2020.04.012

56.  Lo, C. K., Chen, C. H., & Zhong, R. Y. (2021). A review of digital twin in product design and development. Advanced Engineering Informatics, 48, 101297. https://doi.org/10.1016/j.aei.2021.101297

57.  Mark. (2022, February 23). Digital Twins and the power of Predictive Maintenance: Zuken En. Zuken English. Retrieved August 20, 2022, from https://www.zuken.com/en/blog/digital-twins-and-the-power-of-predictive-maintenance/

58.  Markings, S. (2019, March 2). How much did the pyramids weigh? Sciencing. Retrieved August 18, 2022, from https://sciencing.com/much-did-pyramids-weigh-7499289.html

59.  Mars, K. (2016, August 17). Gateway. NASA. Retrieved August 17, 2022, from https://www.nasa.gov/gateway/overview

60.  Maurya, S., Mougenot, C., & Takeda, Y. (2020). Impact of mixed reality implementation on early-stage interactive product design process. Journal of Engineering Design, 32(1), 1–27. https://doi.org/10.1080/09544828.2020.1851662

61.  McDonald, D. K. (2017). The gold mask of tutankhamun. The Global Egyptian Museum | The Gold Mask of Tutankhamun. Retrieved August 18, 2022, from http://www.globalegyptianmuseum.org/detail.aspx?id=15062

62.  MRICS, C. C. (2020). How to make a digital twin: The options, types and outputs. Vercator Info. Retrieved August 1, 2022, from https://info.vercator.com/blog/how-to-make-a-digital-twin-the-options-types-and-outputs

63.  NASA. (2022). Webb Space Telescope GSFC/NASA. NASA. Retrieved August 17, 2022, from https://webb.nasa.gov/

64.  Nokia. (2020). How Digital Twins are driving the future of Engineering. Nokia. Retrieved August 20, 2022, from https://www.nokia.com/networks/insights/technology/how-digital-twins-driving-future-of-engineering/

65.  NOVA. (2019, February 7). Decoding the Great Pyramid: New archeological evidence sheds light on the stunning engineering of the Great Pyramid of Giza. PBS. Retrieved August 18, 2022, from https://www.pbs.org/wgbh/nova/video/decoding-the-great-pyramid/

66.  Ong, S. K., & Shen, Y. (2009). A mixed reality environment for Collaborative Product Design and Development. CIRP Annals, 58(1), 139–142. https://doi.org/10.1016/j.cirp.2009.03.020

67.  Otto, K. N. (2003). Product design: techniques in reverse engineering and new product development. 清华大学出版社有限公司.

68.  Pahng, F., Senin, N., & Wallace, D. (1997). Modeling and evaluation of Product Design Problems in a distributed design environment. Volume 4: Design for Manufacturing Conference. https://doi.org/10.1115/detc97/dfm-4356

69.  Pahng, F., Senin, N., & Wallace, D. (1998). Distribution modeling and evaluation of product design problems. Computer-Aided Design, 30(6), 411–423. https://doi.org/10.1016/s0010-4485(98)00005-0

70.  Palla, K. (2022, August 5). Council post: The rise of Digital Twin Technology. Forbes. Retrieved August 20, 2022, from https://www.forbes.com/sites/forbestechcouncil/2022/08/03/the-rise-of-digital-twin-technology/?sh=98ecff82f97d

71.  Pang, T. Y., Pelaez Restrepo, J. D., Cheng, C.-T., Yasin, A., Lim, H., & Miletic, M. (2021). Developing a digital twin and digital thread framework for an ‘industry 4.0’ shipyard. Applied Sciences, 11(3), 1097. https://doi.org/10.3390/app11031097

72.  Pierrot, F., Marquet, F., Company, O., & Gil, T. (2001). H4 parallel robot: Modeling, design and preliminary experiments. Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164). https://doi.org/10.1109/robot.2001.933120

73.  PTC. (2022, August 18). What is Digital Twin? PTC. Retrieved August 20, 2022, from https://www.ptc.com/en/industry-insights/digital-twin

74.  Qi, Q., & Tao, F. (2018). Digital Twin and big data towards Smart Manufacturing and Industry 4.0: 360 degree comparison. IEEE Access, 6, 3585–3593. https://doi.org/10.1109/access.2018.2793265

75.  Revetria, R., Tonelli, F., Damiani, L., Demartini, M., Bisio, F., & Peruzzo, N. (2019). A real-time mechanical structures monitoring system based on digital twin, IOT and augmented reality. 2019 Spring Simulation Conference (SpringSim). https://doi.org/10.23919/springsim.2019.8732917

76.  Romero, V., Pinquié, R., & Noël, F. (2022). A user-centric computer-aided verification process in a virtuality-reality continuum. Computers in Industry, 140, 103678. https://doi.org/10.1016/j.compind.2022.103678

77.  Roy, R. B., Mishra, D., Pal, S. K., Chakravarty, T., Panda, S., Chandra, M. G., Pal, A., Misra, P., Chakravarty, D., & Misra, S. (2020). Digital Twin: Current scenario and a case study on a manufacturing process. The International Journal of Advanced Manufacturing Technology, 107(9-10), 3691–3714. https://doi.org/10.1007/s00170-020-05306-w

78.  Sahin, D., & Togay, A. (2016). Augmented reality applications in product design process. New Trends and Issues Proceedings on Humanities and Social Sciences, 2(1), 115–125. https://doi.org/10.18844/gjhss.v2i1.288

79.  Sahin, D., & Togay, A. (2016). Augmented reality applications in product design process. New Trends and Issues Proceedings on Humanities and Social Sciences, 2(1), 115–125. https://doi.org/10.18844/gjhss.v2i1.288

80.  Saracco, R. (2018, February 21). What would education be like in 2050? Digital Twins. IEEE Future Directions. Retrieved August 20, 2022, from https://cmte.ieee.org/futuredirections/2018/02/21/what-would-education-be-like-in-2050-digital-twins/

81.  Schroeder, G. N., Steinmetz, C., Rodrigues, R. N., Henriques, R. V., Rettberg, A., & Pereira, C. E. (2021). A methodology for digital twin modeling and deployment for industry 4.0. Proceedings of the IEEE, 109(4), 556–567. https://doi.org/10.1109/jproc.2020.3032444

82.  Seth, A., Vance, J. M., & Oliver, J. H. (2010). Virtual Reality for Assembly Methods Prototyping: A Review. Virtual Reality, 15(1), 5–20. https://doi.org/10.1007/s10055-009-0153-y

83.  Shchurov, I. A. (2018). Discrete solid modeling as basis of Technological Systems Digital doubles. 2018 Global Smart Industry Conference (GloSIC). https://doi.org/10.1109/glosic.2018.8570099

84.  Shen, Y., Ong, S. K., & Nee, A. Y. C. (2010). Augmented reality for Collaborative Product Design and Development. Design Studies, 31(2), 118–145. https://doi.org/10.1016/j.destud.2009.11.001

85.  Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021). Digital Twin: Origin to Future. Applied System Innovation, 4(2), 36. https://doi.org/10.3390/asi4020036

86.  Söderberg, R., Wärmefjord, K., Carlson, J. S., & Lindkvist, L. (2017). Toward a digital twin for real-time geometry assurance in individualized production. CIRP Annals, 66(1), 137–140. https://doi.org/10.1016/j.cirp.2017.04.038

87.  Song, W., & Tauschinski, J. (2022, July 26). China space station: What is the Tiangong? BBC News. Retrieved August 17, 2022, from https://www.bbc.com/news/world-asia-china-61511546

88.  Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo, Z., Lu, S. C.-Y., & Nee, A. Y. (2019). Digital twin-driven product design framework. International Journal of Production Research, 57(12), 3935–3953. https://doi.org/10.1080/00207543.2018.1443229

89.  Tao, F., Zhang, H., Liu, A., & Nee, A. Y. (2019). Digital Twin in industry: State-of-the-art. IEEE Transactions on Industrial Informatics, 15(4), 2405–2415. https://doi.org/10.1109/tii.2018.2873186

90.  Tao, F., Zhang, M., & Nee, A. Y. C. (2019). Applications of Digital Twin. Digital Twin Driven Smart Manufacturing, 29–62. https://doi.org/10.1016/b978-0-12-817630-6.00002-3

91.  Thomas, M. (2022). What is simulation theory? are we living in a computer simulation? Built In. Retrieved July 2, 2022, from https://builtin.com/hardware/simulation-theory.

92.  Tomasas. (2022, August 4). Top 14 wonderful historic monuments. Places To See In Your Lifetime. Retrieved August 18, 2022, from https://www.pandotrip.com/top-10-wonderful-historic-monuments-1567/

93.  Tomczyk, M., & van der Valk, H. (2022). Digital Twin Paradigm Shift: The journey of the digital twin definition. Proceedings of the 24th International Conference on Enterprise Information Systems. https://doi.org/10.5220/0010997600003179

94.  Tuegel, E. (2012). The airframe digital twin: Some challenges to realization. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference≪BR≫20th AIAA/ASME/AHS Adaptive Structures Conference≪BR≫14th AIAA. https://doi.org/10.2514/6.2012-1812

95.  Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011). Reengineering aircraft structural life prediction using a digital twin. International Journal of Aerospace Engineering, 2011, 1–14. https://doi.org/10.1155/2011/154798

96.  Vachalek, J., Bartalsky, L., Rovny, O., Sismisova, D., Morhac, M., & Loksik, M. (2017). The digital twin of an industrial production line within the industry 4.0 concept. 2017 21st International Conference on Process Control (PC). https://doi.org/10.1109/pc.2017.7976223

97.  VanDerHorn, E., & Mahadevan, S. (2021). Digital Twin: Generalization, characterization and Implementation. Decision Support Systems, 145, 113524. https://doi.org/10.1016/j.dss.2021.113524

98.  Whitaker, A. (2009). Architectural Analysis of the Great Pyramid: The architectural features of the Great pyramid offer an invaluable insight into the builders, their methods and the process of construction. Great Pyramid Architecture. Retrieved August 18, 2022, from http://www.ancient-wisdom.com/Ghizaarchitecture.htm

99.  Xiang, F., Fan, J., Ke, S., & Zuo, Y. (2022). Digital twin-driven service collaboration. Digital Twin Driven Service, 33–58. https://doi.org/10.1016/b978-0-323-91300-3.00002-4

100.   Ye, J., Badiyani, S., Raja, V., & Schlegel, T. (2007). Applications of virtual reality in product design evaluation. Human-Computer Interaction. HCI Applications and Services, 1190–1199. https://doi.org/10.1007/978-3-540-73111-5_130

101.   Zhang, B., Zhang, M., & Dong, T. (2021). High-Fidelity Digital Twin Modeling Method for Contactor Operation Simulation. 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA). https://doi.org/10.1109/ldia49489.2021.9505888

102.   Zhao, N., Guo, J., & Zhao, H. (2020). Digital Twin Driven Factory Design. Digital Twin Driven Smart Design, 205–235. https://doi.org/10.1016/b978-0-12-818918-4.00008-7

103.   Židek, K., Piteľ, J., Adámek, M., Lazorík, P., & Hošovský, A. (2020). Digital Twin of Experimental Smart Manufacturing Assembly System for Industry 4.0 Concept. Sustainability, 12(9), 3658. https://doi.org/10.3390/su12093658

Zohdi, T. I. (2021). A digital-twin and machine-learning framework for the design of Multiobjective Agrophotovoltaic Solar Farms. Computational Mechanics, 68(2), 357–370. https://doi.org/10.1007/s00466-021-02035-z 

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