Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-25T21:10:16.278Z Has data issue: false hasContentIssue false

AN APPROACH FOR THE MULTI-CRITERIA DERIVATION OF LIGHTWEIGHT POTENTIAL

Published online by Cambridge University Press:  11 June 2020

F. Laufer*
Affiliation:
University of Stuttgart, Germany
D. Roth
Affiliation:
University of Stuttgart, Germany
H. Binz
Affiliation:
University of Stuttgart, 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.

Lightweight potential is a powerful indicator – but not as powerful as it could be. Current methods for analyzing a product's potential to be reduced in mass only deal with a few of the most important criteria for lightweight design. This paper presents an approach transferring cost-benefit analysis to the holistic derivation of lightweight potential. The approach is able to deal with different types of criteria supporting the designer in indentifying the most promising components for mass reduction. An evaluation example is given showcasing a tooling machine.

Type
Article
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), 2020. Published by Cambridge University Press

References

Albers, A., Moeser, G. and Revfi, S. (2018), “Synergy effects by using sysml models for the lightweight design method extended target weighing approach”, Procedia CIRP, Vol. 70, pp. 434439.CrossRefGoogle Scholar
Alonso, E. et al. (2012), “Evaluating the potential for secondary mass savings in vehicle lightweighting”, Environmental science & technology, Vol. 46 No. 5, pp. 28932901.CrossRefGoogle ScholarPubMed
Blessing, L.T.M. and Chakrabarti, A. (2009), DRM, a Design Research Methodology, Springer, London. https://doi.org/10.1007/978-1-84882-587-1CrossRefGoogle Scholar
Caldwell, B.W. et al. (2013), “Automotive lightweight engineering. A method for identifying lazy parts”, International Journal of Vehicle Design, Vol. 63 No. 4, p. 364.CrossRefGoogle Scholar
Cellini, S.R. and Kee, J.E. (2015), “Cost-effectiveness and cost-benefit analysis”, In: Newcomer, K.E., Hatry, H.P. and Wholey, J.S. (Eds.), Handbook of Practical Program Evaluation, 4th Ed, Jossey-Bass, San Francisco.Google Scholar
Cheah, L. and Heywood, J. (2011), “Meeting U.S. passenger vehicle fuel economy standards in 2016 and beyond”, Energy Policy, Vol. 39 No. 1, pp. 454466.Google Scholar
Farooq, A.A., Roth, R. and Kirchain, R (2018), “Lightweighting technologies: Analyzing strategic and economic implications of advanced manufacturing processes”, International Journal of Production Economics, Vol. 206, pp. 268279. https://doi.org/10.1016/j.ijpe.2018.10.003CrossRefGoogle Scholar
Hao, H. et al. (2016), “The impact of stepped fuel economy targets on automaker's light-weighting strategy. The China case”, Energy, Vol. 94, pp. 755765.CrossRefGoogle Scholar
Kim, H.-J. et al. (2008), “Model of cost and mass for compact sized lightweight automobiles using aluminum & high strength steel”, 2008 IEEE International Symposium on Electronics and the Environment, San Francisco, USA. https://doi.org/10.1109/SNPD.2007.507Google Scholar
Klein, B. (2013), Leichtbau-Konstruktion, Springer Vieweg Verlag, Wiesbaden. https://doi.org/10.1007/978-3-658-02272-3CrossRefGoogle Scholar
Kroll, L. et al. (2011), “Lightweight components for energy efficient machine tools”, CIRP J. of Manufacturing Science and Technology, Vol. 4 No. 2, pp. 148160.CrossRefGoogle Scholar
Laufer, F., Roth, D. and Binz, H. (2018), “Supporting engineers in lightweight design: The Energy Distribution Analysis (EDA)”, 15th International Design Conference, May, 21-24, 2018, Croatia, The Design Society, Glasgow, UK, pp. 829840.Google Scholar
Laufer, F., Roth, D. and Binz, H. (2019), “Derivation of Criteria for Identifying Lightweight Potential – A Literature Review”, Proceedings of the 22nd International Conference on Engineering Design (ICED19), Delft, The Netherlands, 5-8 August 2019. https://doi.org/10.1017/dsi.2019.274CrossRefGoogle Scholar
Lewis, A.M., Kelly, J.C. and Keoleian, G.A. (2014), “Vehicle lightweighting vs. electrification. Life cycle energy and GHG emissions results for diverse powertrain vehicles”, Applied Energy, Vol. 126, pp. 1320.CrossRefGoogle Scholar
Luedeke, T. and Vielhaber, M. (2014), “Holistic Approach for Secondary Weight Improvements”, Procedia CIRP, Vol. 21, pp. 218223.CrossRefGoogle Scholar
Markel, T. and Simpson, A. (2007), “Cost-Benefit Analysis of Plug-In Hybrid Electric Vehicle Technology”, The World Electric Vehicle Association Journal, Vol. 1, pp. 294301.CrossRefGoogle Scholar
Mishan, E.L. (1972), Cost-Benefit Analysis, George Allen Unwin LTD, London. ISBN 0-04-338043-3Google Scholar
O'Reilly, C.J. et al. (2016), “Life cycle energy optimisation. A proposed methodology for integrating environmental considerations early in the vehicle engineering design process”, Journal of Cleaner Production, Vol. 135, pp. 750759.CrossRefGoogle Scholar
Posner, B., Binz, H. and Roth, D. (2014), “Supporting Lightweight Design Potential Assessment in the Conceptual Phase”, Marjanović, D., Štorga, M., Pavković, N. and Bojčetić, N. (Eds.), In: Proceedings of the DESIGN 2014, 13th Internat. Design Conference. Zagreb, Croatia; The Design Society, Glasgow, UK, pp. 353362.Google Scholar
Rinza, P. and Schmitz, H. (1992), Nutzwert-Kosten-Analyse, VDI Verl. GmbH, Düsseldorf. ISBN 3-18-400884-3CrossRefGoogle Scholar