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Systems Design Using Solution-Compensation Spaces with Built-In Tolerance Applied to Powertrain Integration

Published online by Cambridge University Press:  26 May 2022

J. Stumpf,
J. G. Cóndor López,
T. Naumann and
M. Zimmermann
J. Stumpf*
Affiliation:
Mercedes-Benz AG, GermanyTechnical University of Munich, Germany
J. G. Cóndor López
Affiliation:
Mercedes-Benz AG, GermanyTechnical University of Darmstadt, Germany
T. Naumann
Affiliation:
Mercedes-Benz AG, Germany
M. Zimmermann
Affiliation:
Technical University of Munich, Germany
*
julian.stumpf@tum.de

Abstract

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Complexity in systems design can be reduced by computing permissible ranges for some crucial design variables that need to be defined in an early design phase. These ranges are calculated such that there is sufficient tolerance for the remaining design variables in later design phases, while still achieving the overall system design goals. A new algorithm for this approach is presented and applied to the design of a vehicle powertrain mount system. The results show large permissible ranges for mount positions while maintaining sufficient tolerance for mount stiffnesses.

Keywords

complex systemscomputational design methodsearly design phaseoptimisationsolution space engineering

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022, pp. 1995 - 2004
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

Angrosch, B., Plöchl, M., and Reinalter, W. (2015), “Mode decoupling concepts of an engine mount system for practical application“, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-Body Dynamics, 229(4), pp. 331–343. 10.1177/1464419314564020Google Scholar
Chu, M.T. and Golub, G.H. (2002), “Structured inverse eigenvalue problems”, Acta Numerica, Vol. 11, pp. 1–71. 10.1017/S0962492902000016CrossRefGoogle Scholar
Daub, M., Duddeck, F. and Zimmermann, M. (2020), “Optimizing component solution spaces for systems design”, Structural and Multidisciplinary Optimization, Vol. 61 No. 5, pp. 2097–2109. 10.1007/s00158-020-02596-2CrossRefGoogle Scholar
Erschen, S., Duddeck, F. and Zimmermann, M. (2015), “Robust Design using classical optimization”, PAMM, Vol. 15 No. 1, pp. 565–566. 10.1002/pamm.201510272CrossRefGoogle Scholar
Erschen, S., Duddeck, F., Gerdts, M. and Zimmermann, M. (2018), “On the Optimal Decomposition of High-Dimensional Solution Spaces of Complex Systems”, ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg, Vol. 4 No. 2, p. 3190. 10.1115/1.4037485.CrossRefGoogle Scholar
Funk, M., Jautze, M., Strohe, M. and Zimmermann, M. (2019), “Sequential Updating of Quantitative Requirements for Increased Flexibility in Robust Systems Design”, Proceedings of the Design Society: International Conference on Engineering Design, Vol 1, pp. 3531–3540. 10.1017/dsi.2019.360Google Scholar
Harbrecht, H., Tröndle, D. and Zimmermann, M. (2019), “A sampling-based optimization algorithm for solution spaces with pair-wise-coupled design variables”, Structural and Multidisciplinary Optimization, Vol. 60 No. 2, pp. 501–512. 10.1007/s00158-019-02221-xCrossRefGoogle Scholar
Jeong, T. and Singh, R. (2000), “Analytical methods of decoupling the automotive engine torque roll axis“, Journal of Sound and Vibration, Vol. 234 No. 1, pp. 85–114. 10.1006/jsvi.1999.2860CrossRefGoogle Scholar
Kang, N., Bayrak, A.E. and Papalambros, P.Y. (2016), “A Real Options Approach to Hybrid Electric Vehicle Architecture Design for Flexibility“, Proceedings of the ASME 2016 IDETC-CIE. 10.1115/DETC2016-60247Google Scholar
Königs, S. and Zimmermann, M. (2017), “Resolving conflicts of goals in complex design processes – application to the design of engine mount systems“, 7th International Munich Chassis Symposium 2016, Springer Vieweg, Wiesbaden, Germany. 10.1007/978-3-658-14219-3_14CrossRefGoogle Scholar
Lü, H., Mao, H., Huang, X., Yin, H. and Shangguan, W.-B. (2021), “An effective approach for reliability-based robust design optimization of uncertain powertrain mounting systems involving imprecise information”, Engineering with Computers, Vol. 49 No. 4, p. 237. 10.1007/s00366-020-01266-7Google Scholar
Poulain, B., Naumann, T., Stal-Le Cardinal, J. and Anderer, J. (2018), “A Metaheuristic for Solution Space Modelling”, Proceedings of the DESIGN 2018 15th International Design Conference; The Design Society, Glasgow, UK, pp. 429–440. 10.21278/idc.2018.0323Google Scholar
Shallcross, N., Parnell, G.S., Pohl, E. and Specking, E. (2020), “Set-based design: The state-of-practice and research opportunities”, Systems Engineering, Vol. 36 No. 3, p. 43. 10.1002/sys.21549Google Scholar
Shangguan, W.B. (2009), “Engine mounts and powertrain mounting systems: a review“, International Journal of Vehicle Design, Vol. 49 No. 4, pp. 237–258. http://doi.org/10.1504/IJVD.2009.024956CrossRefGoogle Scholar
Stumpf, J., Naumann, T., Vogt, M.E., Duddeck, F. and Zimmermann, M. (2020), “On the Treatment of Equality Constraints in Mechanical Systems Design Subject to Uncertainty”, Proceedings of NordDesign 2020, The Design Society. 10.35199/NORDDESIGN2020.24CrossRefGoogle Scholar
TrellborgVibracustic (2014), “Schwingungstechnik im Automobil: Grundlagen, Werkstoffe, Konstruktion, Berechnung und Anwendung“, Vogel Business Media.Google Scholar
Vogt, M. E., Duddeck, F., Wahle, M. and Zimmermann, M. (2018). “Optimizing tolerance to uncertainty in systems design with early- and late-decision variables“. IMA Journal of Management Mathematics, Vol. 30 No. 3, pp. 269–280. 10.1093/imaman/dpy003CrossRefGoogle Scholar
Xu, X., Su, C., Dong, P., Lui, Y. and Wang, S. (2018), “Optimization design of powertrain mounting system considering vibration analysis of multi-excitation“, Advances in Mechanical Engineering, Vol. 10 No. 9, pp. 1–12. 10.1177/1687814018788246CrossRefGoogle Scholar
Zimmermann, M. and von Hoessle, J.E. (2013), “Computing solution spaces for robust design”, International Journal for Numerical Methods in Engineering, Vol. 94 No. 3, pp. 290–307. 10.1002/nme.4450CrossRefGoogle Scholar