Determining a Robust, Pareto Optimal Geometry for a Welded Joint

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Barrans, Simon and Radhi, H.E. (2014) Determining a Robust, Pareto Optimal Geometry for a Welded Joint. Advanced Materials Research, 1016. pp. 39-43. ISSN 1662-8985

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Official URL: http://dx.doi.org/10.4028/www.scientific.net/AMR.1...

DOI: 10.4028/www.scientific.net/AMR.1016.39

Abstract

Multi-criteria optimization problems are known to give rise to a set of Pareto optimal solutions where one solution cannot be regarded as being superior to another. It is often stated that the selection of a particular solution from this set should be based on additional criteria. In this paper a methodology has been proposed that allows a robust design to be selected from the Pareto optimal set. This methodology has been used to determine a robust geometry for a welded joint. It has been shown that the robust geometry is dependent on the variability of the geometric parameters.

Item Type:	Article
Subjects:	T Technology > TJ Mechanical engineering and machinery
Schools:	School of Computing and Engineering School of Computing and Engineering > Turbocharger Research Institute
Related URLs:	Author
References:	[1] G. Taguchi: On Robust Technology Development: Bringing Quality Engineering Upstream. New York: ASME Press (1993). [2] A. Osyczka: Application of multicriterion optimization methods to machine tool design and manufacturing process, Proceedings of Fifth International Conference on Production Engineering, Tokyo, 558–566 (1984). [3] J. Branke, K. Deb, K. Miettinen and R. Slowinski: Multiobjective Optimization -Interactive and Evolutionary Approaches, Springer- Verlag (2008). [4] D. Bertsimas, D.B. Brown, and C. Caramanis: Theory and applications of robust optimization. SIAM Review 53, 464–501 (2011). [5] D.A. Iancu, N. Trichakis: Pareto Efficiency in Robust Optimization. Management Science 60(1),130-147 (2014). [6] O. Koksoy and T. Yalcinoz: Robust Design using Pareto type optimization: A genetic algorithm with arithmetic crossover, Computers & Industrial Engineering, 55(1), 208-218 (2008). [7] W. Chen, J. Unkelbach, A. Trofimov, T. Madden, H. Kooy, T. Bortfeld, D. Craft: Including robustness in multi-criteria optimization for intensity-modulated proton therapy. Physics Medicine Biol. 57(3), 591–608 (2012). [8] modeFRONTIER v4.0 User manual. Trierste, Italy: ESTECO srl (2008). [9] D.Ullman: The Mechanical Design Process, 4th Ed, McGraw-Hill (2009).
Depositing User:	Simon Barrans
Date Deposited:	16 Sep 2014 15:12
Last Modified:	02 Dec 2016 05:24
URI:	http://eprints.hud.ac.uk/id/eprint/21551

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