Hostname: page-component-848d4c4894-cjp7w Total loading time: 0 Render date: 2024-06-23T13:50:55.657Z Has data issue: false hasContentIssue false

Enhancing design automation for components of electric machines: a systematic approach

Published online by Cambridge University Press:  16 May 2024

Niklas Umland*
Affiliation:
Fraunhofer IFAM, Germany
Anton Wiberg
Affiliation:
Linköping University, Sweden
Kora Winkler
Affiliation:
Fraunhofer IFAM, Germany
Jakob Jung
Affiliation:
Additive Drives GmbH, Germany
David Inkermann
Affiliation:
Technische Universität Clausthal, Germany

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.

This paper presents a systematic approach to multidisciplinary design automation in electric motor engineering, focusing on component design. Existing work in this field is often limited to a single level and lacks portability and reusability. The approach aims to enable simultaneous component and system design, with comprehensive models capturing specifications and architecture. Feasibility is demonstrated through the automated design of additive manufactured hairpin windings.

Type
Design Methods and Tools
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), 2024.

References

Biedermann, M. and Meboldt, M. (2020), “Computational design synthesis of additive manufactured multi-flow nozzles”, Additive Manufacturing, Vol. 35, p. 101231. https://doi.org/mg2f.CrossRefGoogle Scholar
Cederfeldt, M. and Elgh, F. (2005), “Design automation in smes – current state, potential, need and requirements”, DS 35: Proceedings ICED 05, Melbourne, Australia, 15.-18.08.2005, pp. 248-249Google Scholar
Colombo, G., Pugliese, D., Klein, P. and Lutzemnberger, J. (2014), “A study for neutral format to exchange and reuse engineering knowledge in KBE applications”, in Terzi, S. (Ed.), 2014 ICE: Bergamo, Italy, 23 - 25 June 2014, pp. 110. https://doi.org/mg2g.Google Scholar
Dai, Z., Wang, L., Meng, L., Yang, S. and Mao, L. (2019), “Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization”, Energies, Vol. 12 No. 21, p. 4173. https://doi.org/mg2h.CrossRefGoogle Scholar
Di Nardo, M., Lo Calzo, G., Galea, M. and Gerada, C. (2016), “Structural design optimization of a high speed synchronous reluctance machine”, 2016 ICEM, Lausanne, Switzerland, 04-07.09.2016, https://doi.org/mg2jCrossRefGoogle Scholar
Du-Bar, C., Mann, A., Wallmark, O. and Werke, M. (2018), “Comparison of Performance and Manufacturing Aspects of an Insert Winding and a Hairpin Winding for an Automotive Machine Application”, 2018 EDPC, Schweinfurt, Germany, 04-07.12.2018, pp. 18. https://doi.org/gh93z9.CrossRefGoogle Scholar
England, M. and Ponick, B. (2019), “Automatisierter Entwurf von Haarnadelwicklungen anhand von tabellarischen Belegungsplänen”, Elektrotech. Inftech., Vol. 136 No. 2, pp. 159167. https://doi.org/mg2k.CrossRefGoogle Scholar
Farhan, A., Johnson, M., Hanson, K. and Severson, E.L. (2020), “Design of an Ultra-High Speed Bearingless Motor for Significant Rated Power”, 2020 ECCE Detroit, MI, USA 11-15.10.2020, pp. 246-253 https://doi.org/mg2m.CrossRefGoogle Scholar
Golovanov, D., Galassini, A., Flanagan, L., Gerada, D., Xu, Z. and Gerada, C. (2019), “Dual-Rotor Permanent Magnet Motor for Electric Superbike2019 IEMDC San Diego, CA, USA, 12-15.5.2019, https://doi.org/mg2j.CrossRefGoogle Scholar
La Rocca, G. (2012), “Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design”, Adv. Eng. Inform., Vol. 26 No. 2, pp. 159179. https://doi.org/f39n5w.CrossRefGoogle Scholar
Leloudas, P. (2023), Introduction to Software Testing: A Practical Guide to Testing, Design, Automation, and Execution, 1st ed. 2023, Apress; Imprint Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9514-4.Google Scholar
Putz, C., Schleifenbaum, J.H., Ziegler, S., Reich, S. and Gruttke, A. (2023), “Design Automation: Digital Design Configurators of Hairpin Windings”, E-Motive 2023, Schweinfurt, Germany, 27-28.09.2023, pp. 187-194, https://doi.org/10.18154/RWTH-2023-10426.CrossRefGoogle Scholar
Rigger, E. (2019), “Task Definition for Design Automation”, ETH Zurich, 2019.Google Scholar
Rigger, E., Shea, K. and Stankovic, T. (2018), “Task categorisation for identification of design automation opportunities”, J. Eng. Design, Vol. 29 No. 3, pp. 131159. https://doi.org/gmf64q.CrossRefGoogle Scholar
Rigger, E. and Vosgien, T. (2018), “Design automation state of practice - potential and opportunities”, DESIGN 2018, Dubrovnik, Croatia, 21-24.05.2018, pp. 441-452, https://doi.org/10.21278/idc.2018.0537.CrossRefGoogle Scholar
Umland, N., Winkler, K. and Inkermann, D. (2023), “Multidisciplinary Design Automation of Electric Motors—Systematic Literature Review and Methodological Framework”, Energies, Vol. 16 No. 20, p. 7070. https://doi.org/10.3390/en16207070.CrossRefGoogle Scholar
Verhagen, W.J., Bermell-Garcia, P., van Dijk, R.E. and Curran, R. (2012), “A critical review of Knowledge-Based Engineering: An identification of research challenges”, Adv. Eng. Inf., Vol. 26 No. 1, pp. 515. https://doi.org/10.1016/j.aei.2011.06.004.CrossRefGoogle Scholar
Vidner, O., Wehlin, C. and Wiberg, A. (2022), “Design Automation Systems for the Product Development Process: Reflections from Five Industrial Case Studies”, Proceedings of the Design Society, Vol. 2, pp. 25332542. https://doi.org/10.1017/pds.2022.256.CrossRefGoogle Scholar
Weilkiens, T. (2016), Variant modeling with SysML, MBSE4U booklet series, MBSE4U, Fredesdorf.Google Scholar
Weilkiens, T. (2020), SYSMOD - the systems modeling toolbox: Pragmatic MBSE with SysML, MBSE4U booklet series, 3rd edition, version 4.2, MBSE4U, Fredesdorf.Google Scholar
Wiberg, A., Persson, J. and Ölvander, J. (2023), “A Design Automation Framework Supporting Design for Additive Manufacturing”, ASME CIE 2023, Boston, Massachusetts, USA, 20-23.08.2023, https://doi.org/gthsxz.Google Scholar
Zou, T., Gerada, D., La Rocca, A., Moslemin, M., Cairns, A., Cui, M., Bardalai, A., Zhang, F. and Gerada, C. (2022), “A Comprehensive Design Guideline of Hairpin Windings for High Power Density Electric Vehicle Traction Motors”, IEEE Transactions on Transportation Electrification, Vol. 8 No. 3, pp. 35783593. https://doi.org/10.1109/TTE.2022.3149786.CrossRefGoogle Scholar