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Scaling of Technical Systems Using an Object-Based Modelling Approach

Part of: Design Methods and Tools

Published online by Cambridge University Press:  26 July 2019

Philipp Wolniak ,
Bastian Sauthoff ,
Roland Lachmayer  and
Iryna Mozgova
Philipp Wolniak*
Affiliation:
Leibniz University Hannover, Institute of Product Development;
Bastian Sauthoff
Affiliation:
Baker Hughes, a GE company
Roland Lachmayer
Affiliation:
Leibniz University Hannover, Institute of Product Development;
Iryna Mozgova
Affiliation:
Leibniz University Hannover, Institute of Product Development;
*
Contact: Wolniak, Philipp, Leibniz University Hannover, Insitute of Product Development, Germany, wolniak@ipeg.uni-hannover.de

Abstract

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Companies that operate and manufacture products in the technical area are exposed to increasingly challenging market situations. The developed products should be individualized to the customers' needs while offering high quality at an acceptable price.

The temporal and especially economic claims are constantly growing, forcing the companies to develop a given product that matches the cost-side as well as the technical requirements in a short period of time. Following an initial development, it is often necessary to provide further product variants regarding a modified geometry or performance. A time and cost efficient way is the scaling of the initially developed product.

Existing scaling methods focus on uniform geometry changes, not taking into account influences from non-uniform requirement or geometry alterations. Therefore, this article proposes an approach on how to modell and assess the outcome of a scaled assembly, based on the connection of individual scalable components inside an object-based approach.

Keywords

ScalingObject-basedComputational design methodsKnowledge managementProduct modelling / models
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 1603 - 1612
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) 2019

References

Booch, G.O.-o.a.a.d.w.a. (2007), “Object-oriented analysis and design with applications”, The Addison-Wesley object technology series, 3rd ed., Addison-Wesley, Upper Saddle River, NJ, Harlow.Google Scholar
Breuker, J. and van de Velde, W. (1994), “Commonkads library for expertise modelling: Reusable problem solving components” / edited by Breuker, J. and van de Velde, W., Frontiers in artificial intelligence and applications, Vol. 21, IOS Press, Amsterdam, Oxford.Google Scholar
Bullinger, H.-J., Warschat, J. and Lay, K. (1989), Künstliche Intelligenz in Konstruktion und Arbeitsplanung, mi Verl Moderne Industrie, Landsberg/Lech.Google Scholar
Dörner, D. and Bick, T. (1994), Lohhausen: vom umgang mit unbestimmtheit und komplexität; [DFG-Projekt DO 2004 “Systemdenken”, Lehrstuhl Psychologie II der Universität Bamberg 1981], Huber, Bern.Google Scholar
Haberfellner, R. and Becker, M. (2012), “Systems engineering: methodik und praxis”, Vol. 12., völlig neu bearb. u. erw. Auflage, Verl. Industrielle Organisation, Zürich.Google Scholar
Hartmann, D. (Ed.) (2000), Objektorientierte Modellierung in Planung und Konstruktion: Forschungsbericht, Wiley-VCH, Weinheim.Google Scholar
Hossain, M.E. and Al-Majed, A.A. (2015), Fundamentals of Sustainable Ddrilling Engineering, Scrivener Publishing, Beverly, MA.Google Scholar
Krause, F.-L. and Spur, G. (1997), Das virtuelle Produkt: Management der CAD-Technik, Hanser, München.Google Scholar
La Rocca, G. and van Tooren, M.J.L. (2010), “Knowledge-based engineering to support aircraft multidisciplinary design and optimization”, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 224 No. 9, pp. 1041–1055.Google Scholar
Muth, M. (1994), “Repräsentation von Konstruktionswissen unter Verwendung des objektorientierten Paradigmas”, Diss, Schriftenreihe Produktionstechnik, Bd. 7, LKT Univ, Saarbrücken.Google Scholar
Pahl, G., Beitz, W., Feldhusen, J. and Grote, K.-H. (2007), Engineering design: A systematic approach, 3. ed., Springer, London.Google Scholar
Ropohl, G. (2009), Allgemeine Technologie: Eine Systemtheorie der Technik, Vol. 3, überarb. Aufl., Univ.-Verl. Karlsruhe, Karlsruhe.Google Scholar
Sauthoff, B. (2017), “Generative parametrische Modellierung von Strukturkomponenten für die technische Vererbung”, Dissertation, Leibniz Universität Hannover; TEWISS - Technik und Wissen GmbH, 2017.Google Scholar
Schreiber, G., Wielinga, B. and Breuker, J. (1993), KADS: A principled approach to knowledge-based system development / edited by Schreiber, G., Wielinga, B., Breuker, J., Academic, London.Google Scholar
Stark, R. and Königs, S.F. (Eds.) (2014), Konzeption und Realisierung einer Methode zur templategestützten Systementwicklung, Berichte aus dem Produktionstechnischen Zentrum Berlin, Fraunhofer Verl., Stuttgart.Google Scholar
van Schijndel, A.W.M. (2014), “A review of the application of SimuLink S-functions to multi domain modelling and building simulation”, Journal of Building Performance Simulation, Vol. 7 No. 3, pp. 165–178.Google Scholar
Weber, C. and Werner, H. (2000), Klassifizierung von CAx-Werkzeugen für die Produktentwicklung auf der Basis eines neuartigen Produkt- und Prozessmodells.Google Scholar
Wolniak, P., Sauthoff, B. and Lachmayer, R. (2018), Scaling of Structural Components by Knowledge-Based Engineering Methods, in May, 21-24, 2018, Croatia; The Design Society, Glasgow, UK, pp. 1757–1768.Google Scholar