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Computational tools for aircraft system analysis and optimization
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
2008 (English)In: 26th International Congress of the Aeronautical Sciences,2008, 2008Conference paper (Other academic)
Abstract [en]

In this paper a model based QFD (MB-QFD) is introduced, and the different representations for design analysis of complex systems are discussed. Sensitivity analysis is a useful tool for trade studies and to  achieve an overview of the importance of different aspects of the design. The introduction of an hierarchical aggregated design influence matrix greatly improves the ability to handle large systems. Also an influence matrix of uncertainties is used to trace the impact of uncertainties in the design and to identify hot spots where more effort is needed. Through the QFD "House of quality" it is possible to formulate design objective function in a formal way. Furthermore, functional correlation can be used to analyse coherent and conflicting requirements, and by studying the influence of design parameters on the design objective the most  influential parameters can be selected for optimization. These tools are demonstrated on an aircraft design example.

Place, publisher, year, edition, pages
Keyword [en]
Systems engineering, design optimization
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-43873Local ID: 75000OAI: diva2:264733
26th Congress of International Council of the Aeronautical Sciences, 14-19 September, Anchorage, Alaska, USA
Available from: 2012-01-09 Created: 2009-10-10 Last updated: 2012-01-13Bibliographically approved

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Krus, Petter
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Machine DesignThe Institute of Technology
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