Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-30T23:17:05.389Z Has data issue: false hasContentIssue false
  • English
  • Français

AN INVESTIGATION OF A GENERATIVE PARAMETRIC DESIGN APPROACH FOR A ROBUST SOLUTION DEVELOPMENT

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

H. Li ,
T. Brockmöller ,
P. C. Gembarski  and
R. Lachmayer
H. Li*
Affiliation:
Leibniz Universität Hannover, Germany
T. Brockmöller
Affiliation:
Leibniz Universität Hannover, Germany
P. C. Gembarski
Affiliation:
Leibniz Universität Hannover, Germany
R. Lachmayer
Affiliation:
Leibniz Universität Hannover, Germany
*
*[email protected]

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 main design activity in engineering practice is to adapt existing designs or to create variants of existing products to new demands, which require a robust model against both parametric and topological changes. To design such a kind of model becomes a big challenge, especially in the development of structural components due to the number of load application points, variable load cases and restrictions from manufacturing technologies. Thus, the generative parametric design approach is applied to generating high dynamic product models, allowing them to be adjusted for changes feasibly.

Keywords

computer-aided design (CAD)knowledge-based engineering (KBE)product developmentgenerative parametric design approach
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 315 - 324
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

Amadori, K. et al. (2012), “Flexible and robust CAD models for design automation”, Advanced Engineering Informatics, Vol. 26 No. 1, pp. 180–195. https://doi.org/10.1016/j.aei.2012.01.004CrossRefGoogle Scholar
Boyle, I., Rong, Y. and Brown, D. (2011), “A review and analysis of current computer aided fixture design approaches”, Robotics and Computer-Integrated Manufacturing, Vol. 27 No. 1, pp. 1–12. https://doi.org/10.1016/j.rcim.2010.05.008CrossRefGoogle Scholar
Chakrabarti, A. et al. (2011), “Computer-based design synthesis research: an overview”, Journal of Computing and Information Science in Engineering, Vol. 11 No. 2, p. 021003. https://doi.org/10.1115/1.3593409CrossRefGoogle Scholar
Cho, J. et al. (2016), “KBE-PLM integration schema for engineering knowledge re-use and design automation”, Proceedings of the IFIP International Conference on Product Lifecycle Management, Springer, Cham, pp. 43–55. https://doi.org/10.1007/978-3-319-54660-5_5CrossRefGoogle Scholar
Cui, J. and Tang, M. (2017), “Towards generative systems for supporting product design”, International Journal of Design Engineering, Vol. 7 No. 1, pp. 1–16. https://doi.org/10.1504/IJDE.2017.085639CrossRefGoogle Scholar
Demminger, C. et al. (2016), “The Concept of Technical Inheritance in Operation: Analysis of the Information Flow in the Life Cycle of Smart Products”, Procedia Technology, Vol. 26, pp. 79–88. https://doi.org/10.1016/j.protcy.2016.08.012CrossRefGoogle Scholar
Gembarski, P., Li, H. and Lachmayer, R. (2017), “Template-Based Modelling of Structural Components”, International Journal of Mechanical Engineering and Robotics Research, Vol. 6 No. 5, pp. 336–342. https://doi.org/10.18178/ijmerr.6.5.336-342CrossRefGoogle Scholar
Gembarski, P. (2018), Komplexitätsmanagement mittels wissensbasiertem CAD, TEWISS-Verlag, Garbsen.Google Scholar
Gips, J. (1999), “Computer implementation of shape grammars”, NSF/MIT workshop on shape computation, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
Helms, B. (2013), Object-oriented graph grammars for computational design synthesis, [PhD thesis], Technische Universität München.Google Scholar
Hirz, M. et al. (2013), Integrated computer-aided design in automotive development, Springer, Graz. https://doi.org/10.1007/978-3-642-11940-8Google Scholar
Hoisl, F. (2012), Visual, interactive 3D spatial grammars in CAD for computational design synthesis, [PhD thesis], Technische Universität München.Google Scholar
Hoffmann, C. (2005), “Constraint-based computer-aided design”, Journal of Computing and Information Science in Engineering, Vol. 5 No. 3, pp. 182–187. https://doi.org/10.1115/1.1979508CrossRefGoogle Scholar
Kim, B. and Han, S. (2007), “Integration of history-based parametric translators using the automation APIs”, International Journal of Product Lifecycle Management, Vol. 2 No. 1, pp. 18–29. https://doi.org/10.1504/IJPLM.2007.012872CrossRefGoogle Scholar
Krish, S. (2011), “A practical generative design method”, Computer Aided Design, Vol. 43 No. 1, pp. 88–100. https://doi.org/10.1016/j.cad.2010.09.009CrossRefGoogle Scholar
Lachmayer, R. et al. (2017), “Algorithmic design evolution based on product life cycle information”, Cyber-Physical and Gentelligent Systems in Manufacturing and Life Cycle: Genetics and Intelligence–Keys to Industry 4.0, pp. 415–437. https://doi.org/10.1016/B978-0-12-811939-6.00004-2CrossRefGoogle Scholar
La Rocca, G. (2011), Knowledge based engineering: Techniques to support aircraft design and optimization, [PhD thesis], TU Delft.Google Scholar
Leinweber, S. (2014), “Wissensmanagement in der Produktentwicklung am Beispiel von Autotüren”, In: Tecklenburg, G. (Ed.), Karosseriebautage Hamburg, Springer, Wiesbaden, pp. 71–87. https://doi.org/10.1007/978-3-658-05980-4_9CrossRefGoogle Scholar
Li, H. and Lachmayer, R. (2019), “Automated Exploration of Design Solution Space Applying the Generative Design Approach”, Proceedings of the Design Society: International Conference on Engineering Design, Cambridge University Press, Vol. 1, No. 1, pp. 1085–1094. https://doi.org/10.1017/dsi.2019.114CrossRefGoogle Scholar
Lin, Y.S. et al. (2009), “A method and software tool for automated gearbox synthesis”, ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineers, pp. 111–121. https://doi.org/10.1115/DETC2009-86935CrossRefGoogle Scholar
Morello, L. et al. (2011), The Automotive Body: Volume I: Components Design, Springer Science & Business Media. https://doi.org/10.1007/978-94-007-0513-5Google Scholar
Mozgova, I., Lachmayer, R. and Gottwald, P. (2015), “Formulations of Paradigms of Technical Inheritance”, DS 80-8 Proceedings of the 20th International Conference on Engineering Design (ICED 15), Innovation and Creativity, Milan, Italy, Vol. 8, pp. 271–278.Google Scholar
Pahl, G. et al. (2013), Engineering design: a systematic approach, Springer Science & Business Media. https://doi.org/10.1007/978-1-84628-319-2Google Scholar
Park, K. and Holt, N. (2010), “Parametric design process of a complex building in practice using programmed code as master model”, International Journal of Architectural Computing, Vol. 8 No. 3, pp. 359–376. https://doi.org/10.1260/1478-0771.8.3.359CrossRefGoogle Scholar
Sauthoff, B. (2017), Generative Parametrische Modellierung von Strukturkomponenten für die Technische Vererbung, TEWISS-Verlag, Garbsen.Google Scholar
Stokes, M. (2001), Managing Engineering Knowledge - MOKA: Methodology for Knowledge Based Engineering Applications, Professional Engineering Publishing Limited, London.Google Scholar
Tabrizi, B. and Walleigh, R. (1997), “Defining next-generation products: An inside look”, Harvard Business Review, Vol. 75 No. 6, pp. 116–125.Google Scholar
Vajna, S. et al. (2009), CAx für Ingenieure: eine praxisbezogene Einführung, Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-36039-1Google Scholar
VDI 5610-2 (2017), Knowledge management for engineering: knowledge-based engineering, Beuth Verlag, Berlin.Google Scholar
Verhagen, W. et al. (2012), “A critical review of Knowledge-Based Engineering: An identification of research challenges”, Advanced Engineering Informatics, Vol. 26 No. 1, pp. 5–15. https://doi.org/10.1016/j.aei.2011.06.004CrossRefGoogle Scholar
Yin, C. and Ma, Y. (2012), “Parametric feature constraint modeling and mapping in product development”, Advanced Engineering Informatics, Vol. 26 No. 3, pp. 539–552. https://doi.org/10.1016/j.aei.2012.02.010CrossRefGoogle Scholar