Development of an automated aircraft subsystem architecture generation and analysis tool

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dc.contributor.authorJudt, David M.
dc.contributor.authorLawson, Craig P.
dc.date.accessioned2016-10-24T09:33:35Z
dc.date.available2016-10-24T09:33:35Z
dc.date.issued2015-12-01
dc.description.abstractPurpose – The purpose of this paper is to present a new computational framework to address future preliminary design needs for aircraft subsystems. The ability to investigate multiple candidate technologies forming subsystem architectures is enabled with the provision of automated architecture generation, analysis and optimization. Main focus lies with a demonstration of the frameworks workings, as well as the optimizers performance with a typical form of application problem. Design/methodology/approach – The core aspects involve a functional decomposition, coupled with a synergistic mission performance analysis on the aircraft, architecture and component levels. This may be followed by a complete enumeration of architectures, combined with a user defined technology filtering and concept ranking procedure. In addition, a hybrid heuristic optimizer, based on ant systems optimization and a genetic algorithm, is employed to produce optimal architectures in both component composition and design parameters. The optimizer is tested on a generic architecture design problem combined with modified Griewank and parabolic functions for the continuous space. Findings – Insights from the generalized application problem show consistent rediscovery of the optimal architectures with the optimizer, as compared to a full problem enumeration. In addition multi-objective optimization reveals a Pareto front with differences in component composition as well as continuous parameters. Research limitations/implications – This paper demonstrates the frameworks application on a generalized test problem only. Further publication will consider real engineering design problems. Originality/value – The paper addresses the need for future conceptual design methods of complex systems to consider a mixed concept space of both discrete and continuous nature via automated methods.en_UK
dc.identifier.citationDavid Manuel Judt, Craig Lawson, Development of an automated aircraft subsystem architecture generation and analysis tool, Engineering Computations, Vol. 33 Iss: 5, pp.1327 - 1352en_UK
dc.identifier.cris14741223
dc.identifier.issn0264-4401
dc.identifier.urihttp://dx.doi.org/10.1108/EC-02-2014-0033
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10838
dc.language.isoenen_UK
dc.publisherEmeralden_UK
dc.rightsAttribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectDesignen_UK
dc.subjectOptimizationen_UK
dc.subjectAircraften_UK
dc.subjectHeuristicen_UK
dc.subjectAutomateden_UK
dc.subjectSubsystemsen_UK
dc.titleDevelopment of an automated aircraft subsystem architecture generation and analysis toolen_UK
dc.typeArticleen_UK

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