Hostname: page-component-848d4c4894-pftt2 Total loading time: 0 Render date: 2024-05-25T17:12:10.865Z Has data issue: false hasContentIssue false

DESIGN READINESS OF MULTI-MATERIAL CONCEPTS: MANUFACTURING AND JOINING TECHNOLOGY INTEGRATED EVALUATION OF CONCEPT MATURITY LEVELS USING CARDINAL COEFFICIENTS

Published online by Cambridge University Press:  11 June 2020

S. Revfi*
Affiliation:
Karlsruhe Institute of Technology, Germany
J. Wilwer
Affiliation:
Karlsruhe Institute of Technology, Germany
K. Behdinan
Affiliation:
University of Toronto, Canada
A. Albers
Affiliation:
Karlsruhe Institute of Technology, 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.

Maturity levels of components in early phases of product development are often assessed with Technology Readiness Levels. However, developing Multi-Material-Design (MMD) concepts for lightweight design, not only the manufacturability of the individual components is decisive, but also their joinability with each other and their integration into the rest system. This paper presents an approach for the evaluation of maturity levels of MMD concepts on the basis of cardinal coefficients considering a time forecast of the manufacturing and joining technologies required in the concept.

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’”, Proceedings of the 28th CIRP Design Conference, Nantes, France, May 23-25, 2018, Elsevier, Amsterdam, pp. 434439. https://doi.org/10.1016/j.procir.2018.02.025CrossRefGoogle Scholar
Albers, A. et al. (2017), “Die frühe Phase der PGE - Produktgenerationsentwicklung”, Proceedings of the Stuttgarter Symposium für Produktentwicklung 2017, Fraunhofer Verlag, Stuttgart, pp. 110.Google Scholar
Austin, M. and York, D. (2015), “System Readiness Assessment (SRA) an Illustrative Example”, Procedia Computer Science, Vol. 44, Elsevier, Amsterdam, pp. 486496. https://doi.org/10.1016/j.procs.2015.03.031Google Scholar
Conrow, E. (2011), “Estimating Technology Readiness Level Coefficients”, Journal of Spacecraft and Rockets, Vol. 48, No. 1, American Institute of Aeronautics and Astronautics, Virginia USA, pp. 146152. https://doi.org/10.2514/1.46753CrossRefGoogle Scholar
DIN (2003), “DIN 8580:2003-09: Fertigungsverfahren - Begriffe, Einteilung”, DIN Deutsches Institut für Normung e.V., Berlin.Google Scholar
Fahimian, M. and Behdinan, K. (2017), “On characterization of technology readiness level coefficients for design”, Proceedings of the 21st International Conference on Engineering Design (ICED17), Vancouver, Canada, August 21-25, 2017, The Design Society, Glasgow, pp. 309316.Google Scholar
Garg, T. et al. (2017), “Using TRLs and system architecture to estimate technology integration risk”, Proceedings of the 21st International Conference on Engineering Design (ICED17), Vancouver, Canada, August 21-25, 2017, The Design Society, Glasgow, pp. 301310.Google Scholar
Gove, R., Sauser, B. and Ramirez Marquez, J. (2010), “Integration maturity metrics: Development of an integration readiness level”, Information Knowledge Systems Management, Vol. 9, No. 1, pp. 1746. https://www.doi.org/10.3233/IKS-2010-0133Google Scholar
Mankins, J.C. (1995), Technology Readiness Levels. A White Paper. [online] Office of Space Access and Technology NASA. Available at: https://aiaa.kavi.com/apps/group_public/download.php/2212/TRLs_MankinsPaper_1995.pdf (accessed 29.08.2019).Google Scholar
Mankins, J.C. (2009a), “Technology readiness and risk assessments: A new approach”, Acta Astronautica, Vol. 65 No. 9-10, Elsevier, Amsterdam, pp. 12081215. https://www.doi.org/10.1016/j.actaastro.2009.03.059Google Scholar
Mankins, J.C. (2009b), “Technology readiness assessments: A retrospective”, Acta Astronautica, Vol. 65 No. 9-10, Elsevier, Amsterdam, pp. 12161223. https://www.doi.org/10.1016/j.actaastro.2009.03.058Google Scholar
Matthiesen, S. et al. (2018), “From Reality to Simulation – Using the C&C2-Approach to Support the Modelling of a Dynamic System”, Proceedings of the 29th CIRP Design Conference, Póvoa de Varzim, Portugal, May 08-10, 2018, Elsevier, Amsterdam, pp. 475480. http://dx.doi.org/10.1016/j.procir.2018.03.039CrossRefGoogle Scholar
Saaty, T.L. (1990), “How to make a decision: The analytic hierarchy process”, European Journal of Operational Research, Vol. 48 No. 1, pp. 926. https://www.doi.org/10.1016/0377-2217(90)90057-ICrossRefGoogle Scholar
Sauser, B. et al. (2009), A systems approach to expanding the technology readiness level within Defense Acquisition. [online] School of Systems and Enterprises, Stevens Institute of Technology. Available at: https://apps.dtic.mil/docs/citations/ADA530242 (accessed 29.08.2019).10.21236/ADA530242CrossRefGoogle Scholar
United States Government Accountability Office (2011), Defense Acquisitions Assessments of Selected Weapon Programs. U.S. Government Accountability Office. Available at https://apps.dtic.mil/dtic/tr/fulltext/u2/a540208.pdf (accessed 11.11.2019).Google Scholar