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dc.contributor.authorAtherton, MA-
dc.contributor.authorBates, RA-
dc.identifier.citationEngineering Optimization, 36(2): 207 - 217, Feb 2004en_US
dc.descriptionThis is the post-print version of the Article. The official published version can be accssed from the links below. Copyright @ 2004 Taylor & Francisen_US
dc.description.abstractModern engineering design contains both creative and analytic components. This paper discusses the design process and illustrates links between design optimization and conceptual design through the re-design of a cardiovascular stent. A comparison is presented of two methods for design improvement: genetic algorithms (GA) and model-based robust engineering design (RED). Computational fluid dynamics (CFD) models are used to generate measurements of the quality of competing designs based on the concept of dissipated power. Alternative performance measures are also discussed. Environmental noise is introduced into the analysis and consideration is given to the treatment of discrete and continuous design parameters. Improved designs are identified using both methods and verified with further CFD analyses, and the benefits of each method are discussed.en_US
dc.publisherTaylor & Francisen_US
dc.subjectGenetic algorithmsen_US
dc.subjectComputer experimentsen_US
dc.subjectRobust engineering designen_US
dc.titleRobust optimization of cardiovascular stents: A comparison of methodsen_US
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Engineering & Design-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Engineering & Design/Mechanical Engineering-
Appears in Collections:Publications
Mechanical and Aerospace Engineering
Dept of Mechanical Aerospace and Civil Engineering Research Papers

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