Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T19:10:10.300Z Has data issue: false hasContentIssue false

THREE WAYS OF INTEGRATING COMPUTER-AIDED DESIGN AND KNOWLEDGE-BASED ENGINEERING

Published online by Cambridge University Press:  11 June 2020

P. C. Gembarski*
Affiliation:
Leibniz Universität Hannover, 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.

Knowledge-based engineering (KBE) systems allow an easy adaption of designed artefacts to new functional or design requirements and automating routine design tasks. In the following article the author wants to focus on the three main concepts of linking CAD and KBE and answer the research questions (1) in which way is integration, embedding and coupling of KBE to a standard CAD system like Autodesk Inventor available and (2) how can the single approaches be compared in terms of modelling effort, user competences and system performance.

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

Alarcón, J.R., García, J. and Idoipe, A.V. (2010), “Fixture knowledge model development and implementation based on a functional design approach”, Robotics and Computer-Integrated Manufacturing, Vol. 26 No. 1, pp. 5666.CrossRefGoogle Scholar
Barták, R., Salido, M.A. and Rossi, F. (2010), “Constraint satisfaction techniques in planning and scheduling”, Journal of Intelligent Manufacturing, Vol. 21 No. 1, pp. 515.CrossRefGoogle Scholar
Boyle, Y. and Brown, D.C. (2011), “A review and analysis of current computer-aided fixture design approaches”, Robotics and Computer-Integrated Manufacturing, Vol. 27 No. 1, pp. 112.CrossRefGoogle Scholar
Chandrasekaran, B. (1990), “Design problem solving: A task analysis”, AI magazine, Vol. 11 No. 4, pp. 5971.Google Scholar
Chapman, C.B. and Pinfold, M. (2001), “The application of a knowledge based engineering approach to the rapid design and analysis of an automotive structure”, Advances in Engineering Software, Vol. 32 No. 12, pp. 903912.CrossRefGoogle Scholar
Clancy, W.J. (1983), “The epistemology of a rule-based expert system: a framework for explanation”, Artificial intelligence, Vol. 20 No. 3, pp. 215251.CrossRefGoogle Scholar
Cunis, R., Günter, A. and Strecker, H. (1991), Das PLAKON-Buch: ein Expertensystemkern für Planungs-und Konfigurierungsaufgaben in technischen Domänen, Springer, Berlin.CrossRefGoogle Scholar
Durhuus, B. and Eilers, S. (2014), “On the entropy of LEGO®”, Journal of Applied Mathematics and Computing, Vol. 45 No. 1-2, pp. 433448.CrossRefGoogle Scholar
Gembarski, P.C., Bibani, M. and Lachmayer, R. (2016), “Design Catalogues: Knowledge Repositories for Knowledge-Based-Engineering Applications”, In: Marjanović, D., Štorga, M., Pavković, N., Bojčetić, N., Škec, S. (Eds.), Proceedings of the DESIGN 2016 14th International Design Conference, The Design Society, pp. 20072016.Google Scholar
Gembarski, P.C. and Lachmayer, R. (2017), “A Business Typological Framework for the Management of Product Complexity”, In: Bellemare, J., Carrier, S., Nielsen, K. and Piller, F.T. (Eds.), Managing Complexity – Proceedings of the 8th World Conference on Mass Customization, Personalization and Co-Creation (MCPC 2015), Springer, Berlin, pp. 235247. https://doi.org/10.1007/978-3-319-29058-4_18Google Scholar
Gembarski, P.C., Li, H. and Lachmayer, R. (2017), “KBE-Modeling Techniques in Standard CAD-Systems: Case Study Autodesk Inventor Professional”, In: Bellemare, J., Carrier, S., Nielsen, K. and Piller, F.T. (Eds.), Managing Complexity – Proceedings of the 8th World Conference on Mass Customization, Personalization and Co-Creation (MCPC 2015), Springer, Berlin, pp. 215233. https://doi.org/10.1007/978-3-319-29058-4_17Google Scholar
Hayes-Roth, B. (1995), “An architecture for adaptive intelligent systems”, Artificial intelligence, Vol. 72 No. 1, pp. 329365.CrossRefGoogle Scholar
Hesse, S., Krahn, H. and Eh, D. (2012), Betriebsmittel Vorrichtung: Grundlagen und kommentierte Beispiele, Carl Hanser, Munich.CrossRefGoogle Scholar
Hirz, M. et al. (2013), Integrated computer aided design in automotive development, Springer, Berlin.Google Scholar
Hopgood, A.A. (2012), Intelligent systems for engineers and scientists, CRC press, Boca Raton.Google Scholar
Koller, R. (1991), “CAD- und Expertensysteme der Konstruktion – Stand und Möglichkeiten”, In: Berechnung, Gestaltung und Fertigung von Schweißkonstruktionen im Zeitalter der Expertensysteme, DVS-Berichte, Düsseldorf, pp. 13.Google Scholar
La Rocca, G. (2012), “Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design”, Advanced engineering informatics, Vol. 26 No. 2, pp. 159179.CrossRefGoogle Scholar
Li, H., Gembarski, P.C. and Lachmayer, R. (2018), “Template-Based Design for Design Co-Creation”, In: Proceedings of the 5th International Conference on Design Creativity (ICDC2018), Bath, United Kingdom, 31.01. – 02.02.2018, pp. 387394.Google Scholar
Lutz, C. (2012), Rechnergestütztes Konfigurieren und Auslegen individualisierter Produkte: Rahmenwerk für die Konzeption und Einführung wissensbasierter Assistenzsysteme in die Konstruktion, Dr. Hut, Munich.Google Scholar
Marcus, S. and McDermott, J. (1998), “SALT: A knowledge acquisition language for propose-and-revise systems”, Artificial Intelligence, Vol. 39 No. 1, pp. 137.CrossRefGoogle Scholar
Milton, N.R. (2008), Knowledge technologies, Bd. 3, Polimetrica sas, Milano.Google Scholar
Rong, Y. and Zhu, Y. (1999), Computer-Aided Fixture Design, Taylor & Francis, Milton Park.CrossRefGoogle Scholar
Schreiber, G. (2000), Knowledge engineering and management: the CommonKADS methodology, MIT press, Cambridge.Google Scholar
Schreiber, G. (2008), “Knowledge engineering”, Foundations of Artificial Intelligence, Vol. 3, pp. 929946.CrossRefGoogle Scholar
Shah, J.J. (2009), “Designing with parametric cad: Classification and comparison of construction techniques”, Geometric Modelling, pp. 5368.Google Scholar
Skarka, W. (2007), “Application of MOKA methodology in generative model creation using CATIA”, Engineering Applications of Artificial Intelligence, Vol. 20 No. 5, pp. 677690.CrossRefGoogle Scholar
Stokes, M. (2001), Managing engineering knowledge: MOKA: methodology for knowledge based engineering applications, Professional Engineering Publishing, London.Google Scholar
Vajna, S. et al. (2009), CAx für Ingenieure: eine praxisbezogene Einführung, Springer, Berlin.Google Scholar
VDI (2017), VDI-Richtlinie 5610 Blatt 2:2017-05: Wissensmanagement im Ingenieurwesen – Wissensbasierte Konstruktion (KBE), Beuth, Berlin.Google Scholar