Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-26T09:31:05.440Z Has data issue: false hasContentIssue false
  • English
  • Français

DESIGN BY MATERIAL: FROM MATERIAL TO FORM THROUGH CAD MODELLING

Published online by Cambridge University Press:  27 July 2021

Egon Ostrosi ,
Jean-Bernard Bluntzer ,
Hugues Baume  and
Josip Stjepandić
Egon Ostrosi
Affiliation:
Université de Bourgogne Franche-Comté, UTBM, Pôle Industrie 4.0, ERCOS/ELLIADD, France;
Jean-Bernard Bluntzer*
Affiliation:
Université de Bourgogne Franche-Comté, UTBM, Pôle Transports et Mobilités, ERCOS/ELLIADD, France;
Hugues Baume
Affiliation:
Université de Bourgogne Franche-Comté, UTBM, Pôle Transports et Mobilités, ERCOS/ELLIADD, France;
Josip Stjepandić
Affiliation:
PROSTEP AG, Darmstadt, Germany
*
Bluntzer, Jean-Bernard, Université de Technologie de Belfort-Montbéliard, France, ELLIADD- ERCOS, France, [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.

For Aristotelian scholars, matter is identified as the subject of change, while form is the boundary of matter. Design is a process of bringing about change. From a design perspective, material is what an entity is made from; form is what makes a thing what it is. Based on the principle, “form is the boundary of matter”, this paper proposes a Design by Material method, thereby addressing the knowledge gap of a systematic method for designing according to material. This method is predicated on the material specification as the first input in the design process. A formal model is built in which the material acts as a trigger and driver for the design process. The method is implemented by integrating computer-aided design (CAD) modelling and its design form. A design application is explained to demonstrate the relevance of the Design by Material method.

Keywords

Design for X (DfX)Computer Aided Design (CAD)Product modelling / modelsFormSkeleton
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 963 - 972
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), 2021. Published by Cambridge University Press

References

Addington, D.M. and Schodek, D.L. (2005), Smart Materials and New Technologies: For the Architecture and Design Professions, Routledge.Google Scholar
Bak-Andersen, M. (2018), “When matter leads to form: Material driven design for sustainability”, Temes de Disseny, available at: https://doi.org/10.46467/TdD34.2018.10-33.CrossRefGoogle Scholar
Bengisu, M. and Ferrara, M. (2018), Materials That Move: Smart Materials, Intelligent Design, Springer.CrossRefGoogle Scholar
Bergström, J., Clark, B., Frigo, A., Mazé, R., Redström, J. and Vallgårda, A. (2010), “Becoming materials: material forms and forms of practice”, Digital Creativity, Routledge, Vol. 21 No. 3, pp. 155–172.Google Scholar
Biahmou, A., Emmer, C., Pfouga, A. and Stjepandic, J. (2016), Digital Master as an Enabler for Industry 4.0, available at: https://doi.org/10.3233/978-1-61499-703-0-672.CrossRefGoogle Scholar
Bley, H. and Bossmann, M. (2006), “Automated Assembly Planning Based on Skeleton Modelling Strategy”, in Ratchev, S. (Ed.), Precision Assembly Technologies for Mini and Micro Products, Springer US, Boston, MA, pp. 121–131.Google Scholar
Bluntzer, J.-B., Ostrosi, E. and Niez, J. (2016), “Design by Materials: A New Integrated Method in Computer Aided Design”, Procedia CIRP, Elsevier, Vol. 50 No. Supplement C, pp. 305–310.CrossRefGoogle Scholar
Cornea, N.D., Silver, D. and Min, P. (2005), “Curve-skeleton applications”, VIS 05. IEEE Visualization, 2005., IEEE, pp. 95–102.CrossRefGoogle Scholar
Cornea, N.D., Silver, D. and Min, P. (2007), “Curve-skeleton properties, applications, and algorithms”, IEEE Transactions on Visualization and Computer Graphics, Vol. 13 No. 3, p. 530.CrossRefGoogle ScholarPubMed
Diffrient, N., Tilley, A.R., Associates, H.D. and Bardagjy, J.C. (1974), Humanscale 1/2/3, MIT Press.Google Scholar
Eppinger, S. and Ulrich, K. (2015), Product Design and Development, McGraw-Hill Higher Education.Google Scholar
Heisenberg, W. (1958), Physics and Philosophy;, Harper & Brothers, New York.Google Scholar
Held, M., Huber, S. and Palfrader, P. (2016), “Generalized offsetting of planar structures using skeletons”, Computer-Aided Design and Applications, Taylor & Francis, Vol. 13 No. 5, pp. 712–721.Google Scholar
Ju, T., Baker, M.L. and Chiu, W. (2007), “Computing a family of skeletons of volumetric models for shape description”, Computer-Aided Design, Elsevier, Vol. 39 No. 5, pp. 352–360.Google Scholar
Kahane, J. (2015), The Form of Design: Deciphering the Language of Mass-Produced Objects, BIS Publishers.Google Scholar
Karana, E., Barati, B., Rognoli, V. and Zeeuw Van Der Laan, A. (2015), “Material driven design (MDD): A method to Design by Material experiences”.CrossRefGoogle Scholar
Kuhn, O., Liese, H. and Stjepandic, J. (2011), “Methodology for knowledge-based engineering template update”, Building Innovation Pipelines through Computer-Aided Innovation, Springer, pp. 178–191.CrossRefGoogle Scholar
Lee, J., Son, H., Kim, C. and Kim, C. (2013), “Skeleton-based 3D reconstruction of as-built pipelines from laser-scan data”, Automation in Construction, Elsevier, Vol. 35, pp. e199–207.Google Scholar
Levet, F. and Granier, X. (2007), “Improved skeleton extraction and surface generation for sketch-based modeling”, Proceedings of Graphics Interface 2007, Association for Computing Machinery, New York, NY, USA, pp. 27–33.CrossRefGoogle Scholar
Li, H. and Lachmayer, R. (2019), “Automated exploration of design solution space applying the Generative Design Method”, DS 94: Proceedings of the Design Society: 22nd International Conference on Engineering Design (ICED19), presented at the 22nd International Conference on Engineering Design (ICED19), available at: https://doi.org/10.1017/dsi.2019.114.CrossRefGoogle Scholar
Liu, K., Tian, Y. and Jiang, L. (2013), “Bio-inspired superoleophobic and smart materials: design, fabrication, and application”, Progress in Materials Science, Elsevier, Vol. 58 No. 4, pp. 503–564.CrossRefGoogle Scholar
Ostrosi, E., Bluntzer, J.-B. and Stjepandic, J. (2020), “A CAD Material Skeleton-Based Method for Sustainable Design”, available at: https://doi.org/10.3233/ATDE200133.Google Scholar
Pahl, G. and Beitz, W. (2013), Engineering Design: A Systematic Method, Springer Science & Business Media.Google Scholar
Peramatzis, M. (2011), Priority in Aristotle's Metaphysics, Oxford University Press, Oxford, New York.Google Scholar
Pugh, S. (1991), Total Design: Integrated Methods for Successful Product Engineering, Addison-Wesley.Google Scholar
Schubert, S., Feldhusen, J. and Nagarajah, A. (2011), “An method for more efficient variant design process”, DS 68–4: Proceedings of the 18th International Conference on Engineering Design (ICED 11), Impacting Society through Engineering Design, Vol. 4: Product and Systems Design, Lyngby/Copenhagen, Denmark, 15.-19.08.2011.Google Scholar
Sigmund, O. and Torquato, S. (1999), “Design of smart composite materials using topology optimization”, Smart Materials and Structures, IOP Publishing, Vol. 8 No. 3, p. 365.Google Scholar
Suh, N.P. (2001), Axiomatic Design: Advances and Applications, Oxford University Press, USA.Google Scholar
Thom, R. (1991), “Matière, forme et catastrophes”, Penser Avec Aristote, M. A. Sinaceur., Erès, Toulouse, pp. 367–398.Google Scholar
Ullman, D.G. (1992), The Mechanical Design Process, Vol. 2, McGraw-Hill New York.Google Scholar
Ulrich, K. (1995), “The role of product architecture in the manufacturing firm”, Research Policy, Elsevier, Vol. 24 No. 3, pp. 419–440.Google Scholar
Waddington, C.H. (1940), Organisers and Genes by C. H. Waddington, The University Press.Google Scholar
Wade, L. and Parent, R.E. (2002), “Automated generation of control skeletons for use in animation”, The Visual Computer, Vol. 18 No. 2, pp. 97–110.Google Scholar
Ziegler, P. and Wartzack, S. (2013), “Concept for tolerance design in early design stages based on skeleton models”, DS 75–5: Proceedings of the 19th International Conference on Engineering Design (ICED13) Design For Harmonies, Vol. 51: Design for X, Design to X, Seoul, Korea 19-22.08.2013.Google Scholar