Hostname: page-component-cb9f654ff-k7rjm Total loading time: 0 Render date: 2025-08-19T14:59:50.272Z Has data issue: false hasContentIssue false
  • English
  • Français

A Method for the Support of the Design for Digital Twin Solution and Its Application on a Gearbox System

Published online by Cambridge University Press:  26 May 2022

Y. Koch ,
S. Husung ,
F. Röhnert ,
A. Mahboob ,
M. G. Frank  and
E. Kirchner
Y. Koch*
Affiliation:
Technical University of Darmstadt, Germany
S. Husung
Affiliation:
Technische Universität Ilmenau, Germany
F. Röhnert
Affiliation:
Technische Universität Ilmenau, Germany
A. Mahboob
Affiliation:
Technische Universität Ilmenau, Germany
M. G. Frank
Affiliation:
Technical University of Darmstadt, Germany
E. Kirchner
Affiliation:
Technical University of Darmstadt, Germany
*
yanik.koch@tu-darmstadt.de

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The information from Real Twins are increasingly used to construct Digital Twins. Acquisition of information from the Real Twin or in other words performing measurements on the Real Twin may lead to effects in the working of Real Twin. For instance, the introduction of sensors may impair certain functions of a Real Twin. Therefore, it is important to analyse the effect of any change that is performed on the Real Twin for achieving the Digital Twin. In this paper, a method for Digital Twin solution is presented that address these aspects as well as its use is demonstrated by a case example.

Keywords

design methodsdesign for x (DfX)product developmentdigital twin solutionsensing machine elements

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1609 - 1618
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

References

Albers, A., Matthiesen, S. and Ohmer, M. (2003) “An innovative new basic model in design methodology for analysis and synthesis of technical systems”, 14th International Conference on Engineering Design. Stockholm, pp. 147–148.Google Scholar
Albers, A., Rapp, S., Spadinger, M., Richter, T., Birk, C., Marthaler, F., Heimicke, J., Kurtz, V. and Wessels, H. (2019) “The Reference System in the Model of PGE: Proposing a Generalized Description of Reference Products and their Interrelations”, 22nd International Conference on Engineering Design - ICED19. Delft, The Netherlands, pp. 1693–1702. DOI: 10.1017/dsi.2019.175.Google Scholar
Anderl, R. (2016) “Industrie 4.0 – Digital Transformation in Product Engineering and Production”, 21st International Seminar on High Technology - Smart Products and Smart Production. Piracicaba (SP), Brazil.Google Scholar
Biggs, G., Post, K., Armonas, A., Yakymets, N., Juknevicius, T. and Berres, A. (2019) “OMG standard for integrating safety and reliability analysis into MBSE: Concepts and applications”, INCOSE International Symposium, Volume: 29, pp. 159–173. DOI: 10.1002/j.2334-5837.2019.00595.x.CrossRefGoogle Scholar
Boss, B., Malakuti, S., Lin, S.-W., Usländer, T., Clauer, E., Hoffmeister, M., Stojanovic, L. and Flubacher, B. (2020) Digital Twin and Asset Administration Shell Concepts and Application in the Industrial Internet and Industrie 4.0. An Industrial Internet Consortium and Plattform Industrie 4.0 Joint Whitepaper, Industrial Internet Consortium (IIC) and Plattform Industrie 4.0.Google Scholar
Darnieder, M., Pabst, M., Wenig, R., Zentner, L., Theska, R. and Fröhlich, T. (2018) “Static behavior of weighing cells”, Journal of Sensors and Sensor Systems, vol. 7, no. 2, pp. 587–600.Google Scholar
Durão, , Luiz Fernando, C. S., Haag, S., Anderl, R., Schützer, K. and Zancul, E. (2018) “Digital Twin Requirements in the Context of Industry 4.0”, Product Lifecycle Management to Support Industry 4.0: 15th IFIP WG 5.1 International Conference, PLM 2018, Turin, Italy, July 2-4, 2018, Proceedings. Cham, 2018. Cham, Springer International Publishing, pp. 204–214.CrossRefGoogle Scholar
Eigner, M., Dickopf, T., Schneider, M. and Schulte, T. (2017) “mecPro2- A holistic concept for the model-based development of cybertronic systems”, 21st International Conference on Engineering Design (ICED 17), 21-25.08.2017. Vancouver, Canada, pp. 378–388.Google Scholar
Husung, S., Weber, C., Mahboob, A. and Kleiner, S. (2021) “Using Model-Based Systems Engineering for need-based and consistent support of the design process”, 23rd International Conference on Engineering Design (ICED21). DOI: 10.1017/pds.2021.598.Google Scholar
Jones, D. E., Snider, C., Kent, L. and Hicks, B. (2019) “Early Stage Digital Twins for Early Stage Engineering Design”, 22nd International Conference on Engineering Design - ICED19. Delft, The Netherlands, pp. 2557–2566. DOI: 10.1017/dsi.2019.262.CrossRefGoogle Scholar
Kirchner, E., Martin, G. and Großkurth, D. (2019) “Condition Monitoring with Sensor-Integrating Toothed Belts”, 10. VDI-Fachkonferenz “Umschlingungsgetriebe 2019”. Stuttgart.Google Scholar
Kleiner, S., Ricks, M., Engelmann, M. and Husung, S. (2017) “Model-Based Systems Engineering and Simulation for Automotive Systems Development at GKN Driveline”, NAFEMS World Congress NWC17. Stockholm, 11.-14.06.2017.Google Scholar
Köhler, C., Conrad, J., Wanke, S. and Weber, C. (2008) “A Matrix Representation of the CPM/PDD Approach as a Means for Change Impact Analysis”, 10th International Design Conference. Cavtat, Dubrovnik, Croatia, pp. 167–174.Google Scholar
Mahboob, A. (2021) Modelling and use of SysML behaviour models for achieving dynamic use cases of technical products in different VR-systems (Dissertation), Ilmenau.Google Scholar
Martin, G., Vogel, S., Schirra, T., Vorwerk-Handing, G. and Kirchner, E. (2018) “Methodical Evaluation of Sensor Positions for Condition Monitoring of Gears”, NordDesign 2018: NordDesign 2018 : Linköping University, August 14-17, 2018. Linköpings Universitet.Google Scholar
Moyne, J., Qamsane, Y., Balta, E. C., Kovalenko, I., Faris, J., Barton, K. and Tilbury, D. M. (2020) “A Requirements Driven Digital Twin Framework: Specification and Opportunities”, IEEE Access, vol. 8, pp. 107781–107801.Google Scholar
Randall, R. B., Peng, D. and Smith, W. A. (2019) “Using measured transmission error for diagnostics of gears”, in: SIRM 2019 – 13th International Conference on Dynamics of Rotating Machines.Google Scholar
Röhm, B., Emich, B. and Anderl, R. (2021) “Approach of simulation data management for the application of the digital simulation twin”, 31st CIRP Design Conference, Volume: 100, pp. 421–426. DOI: 10.1016/j.procir.2021.05.098.Google Scholar
Schleich, B., Anwer, N., Mathieu, L. and Wartzack, S. (2017) “Shaping the digital twin for design and production engineering”, CIRP Annals, vol. 66, no. 1, pp. 141–144.CrossRefGoogle Scholar
Slatter, R. (2019) “Condition Monitoring of Gearboxes using Magnetoresistive Sensors”, VDI Berichte 2355, pp. 229–244.Google Scholar
Stark, R., Anderl, R., Thoben, K.-D., Wartzack, S. and Krause, F.-L. (2020) WiGeP-Positionspapier: „Digitaler Zwilling“.Google Scholar
Stark, R. and Damerau, T. (2019) “Digital Twin”, in: The International Academy for Production Engineering (ed) CIRP Encyclopedia of Production Engineering, Berlin, Heidelberg, Springer, pp. 1–8.Google Scholar
Trauer, J., Schweigert-Recksiek, S., Engel, C., Spreitzer, K. and Zimmermann, M. (2020) “What is a Digital Twin? – Defintions and Insights from an Industrial Case Study in Technical Product Development”, 16th International Design Conference (DESIGN 2020), pp. 757–766. DOI: 10.1017/dsd.2020.15.CrossRefGoogle Scholar
Vorwerk-Handing, G., Gwosch, T., Schork, S., Kirchner, E. and Matthiesen, S. (2020) “Classification and examples of next generation machine elements”, Forschung im Ingenieurwesen, vol. 84, no. 1, pp. 21–32 [Online]. DOI: 10.1007/s10010-019-00382-1.CrossRefGoogle Scholar
Weber, C. (2005) “CPM/PDD - An Extended Theoretical Approach to Modelling Products and Product Development Processes”, 2nd German-Israeli Symposium on Advances in Methods and Systems for Development of Products and Processes, 07.-08.07.2005, Fraunhofer-IRB-Verlag, pp. 159–179.Google Scholar
Weber, C. and Husung, S. (2011) “Virtualisation of product development/design - seen from Design Theory and Methodology”, 18th International Conference on Engineering Design (ICED 11), Volume: 2. Kopenhagen, 15.-18.08.2011, Design Society, pp. 226–235.Google Scholar
Weber, C. and Husung, S. (2016) “Solution patterns - their role in innovation, practice and education”, 14th International Design Conference (DESIGN 2016), Volume: Design Theory and Research Methods. Cavtat, Dubrovnik, Croatia, pp. 99–108.Google Scholar
Weilkiens, T. (2016) SYSMOD - the systems modeling toolbox: Pragmatic MBSE with SysML, 2nd edn, Fredesdorf, MBSE4U. 9783981787580.Google Scholar
Welzbacher, P., Schulte, F., Neu, M., Koch, Y. and Kirchner, E. (2021) “An approach for the quantitative description of uncertainty to support robust design in sensing technology”, Design Science, vol. 7.Google Scholar
Wilking, F., Schleich, B. and Wartzack, S. (2020) “MBSE along the Value Chain – An Approach for the Compensation of additional Effort”, 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), pp. 61–66. DOI: 10.1109/SoSE50414.2020.9130497.Google Scholar