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INTRODUCING MULTIDISCIPLINARY DESIGN OPTIMIZATION TO GRADUATE LEVEL ENGINEERING STUDENTS

Published online by Cambridge University Press:  27 July 2021

Athanasios Papageorgiou ,
Anton Wiberg  and
Johan Persson
Athanasios Papageorgiou*
Affiliation:
Linköping University
Anton Wiberg
Affiliation:
Linköping University
Johan Persson
Affiliation:
Linköping University
*
Papageorgiou, Athanasios, Linköping University, Management and Engineering, Sweden, athanasios.papageorgiou@liu.se

Abstract

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Multidisciplinary Design Optimization (MDO) is a method that has shown many promising results in the development of complex engineered products. To this date, research on MDO has been extensive, but at the same time, very few publications have addressed the aspect of how it can be taught to students and young professionals. In this light, this paper aims to present the experiences of the authors in respect to the development and management of an MDO course at Linköping University. First, this work will describe the authors' teaching approaches, and in particular, it will present the various educational activities that have been considered over the years as well as the lessons learnt. Secondly, this work will attempt to investigate how students perceive a set of common MDO concepts, and more specifically, it will present an analysis based on the results of two surveys that took place in 2016 and 2020, respectively. Given the above foundation, this paper will try to establish guidelines regarding the activities which are suitable for teaching each concept, while finally, it will also touch upon the challenges as well as the solutions for adjusting an MDO course to a distance learning mode.

Keywords

EducationDesign methodologyOptimisation
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 1917 - 1926
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

Agte, J., De Weck, O., Sobieszczanski-Sobieski, J., Arendsen, P., Morris, A., and Spieck, M. (2010), “MDO: Assessment and direction for advancement-an opinion of one international group”, Structural and Multidisciplinary Optimization, Vol. 40, No. 1-6, pp. 17–33.CrossRefGoogle Scholar
Della Vecchia, P., Aigner, B., van Gent, I., Ciampa, P. D., and Prakasha, P. S. (2018), “Collaborative open source aircraft design framework for education-agile academy initiatives and results”, International Council of the Aeronautical Sciences.Google Scholar
Gerber, D. J., and Flager, F. (2011), “Teaching design optioneering: a method for multidisciplinary design optimization”, Computing in Civil Engineering, pp. 883–890.CrossRefGoogle Scholar
Giesing, J., and Barthelemy, J. F. (1998), “A summary of industry MDO applications and needs,” 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization.CrossRefGoogle Scholar
Jasa, J. P., Hwang, J. T., and Martins, J. R. (2018), “Open-source coupled aerostructural optimization using Python”, Structural and Multidisciplinary Optimization, Vol. 57, No. 4, pp. 1815–1827.CrossRefGoogle Scholar
Martins, J. R., and Lambe, A. B. (2013), “Multidisciplinary design optimization: a survey of architectures”, AIAA journal, Vol. 51, No. 9, pp. 2049–2075.CrossRefGoogle Scholar
Mason, W. H., Gürdal, Z., and Haftka, R. T. (1995), “Experience in multidisciplinary design education”, ASEE Annual Conference.Google Scholar
Nicknam, M., Bernal, M., and Haymaker, J. (2013), “A Case Study in Teaching Construction of Building Design Spaces”, 31st Conference on Education and research in Computer Aided Architectural Design.Google Scholar
Papageorgiou, A., Tarkian, M., Amadori, K., and Ölvander, J. (2018), “Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements”, International Journal of Aerospace Engineering.CrossRefGoogle Scholar
Simpson, T., and Martins, J. R. (2011), “MDO for complex engineered systems: Report from a national science foundation workshop”, Journal of Mechanical Design, Transactions of the ASME, Vol. 133, No. 10.CrossRefGoogle Scholar
Viana, F. A. C., Simpson, T., Balabanov, V., and Toropov, V. (2014), “Metamodeling in multidisciplinary design optimization: how far have we really come?”, AIAA Journal, Vol. 52, No. 4, pp. 670–690.CrossRefGoogle Scholar