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dc.contributor.authorDow, Eric A.
dc.contributor.authorWang, Qiqi
dc.date.accessioned2015-06-29T14:45:29Z
dc.date.available2015-06-29T14:45:29Z
dc.date.issued2014-01
dc.identifier.urihttp://hdl.handle.net/1721.1/97545
dc.description.abstractThis paper presents a computational approach for optimal robust design and tolerancing of turbomachinery compressor blades that are subject to geometric variability. This approach simultaneously determines the optimal blade geometry and manufacturing tolerances to minimize the overall cost of producing and operating the resulting compressor blades. A pathwise sensitivity method is used to compute gradient information that is in turn used to optimize the design and tolerances. Results for a two-dimensional subsonic compressor are presented, demonstrating the significant performance improvements that can be achieved using the proposed approach.en_US
dc.description.sponsorshipPratt & Whitney Aircraft Companyen_US
dc.description.sponsorshipBoeing Companyen_US
dc.language.isoen_US
dc.publisherAmerican Institute of Aeronautics and Astronauticsen_US
dc.relation.isversionofhttp://dx.doi.org/10.2514/6.2014-1008en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceDowen_US
dc.titleOptimal Design and Tolerancing of Compressor Blades Subject to Manufacturing Variabilityen_US
dc.typeArticleen_US
dc.identifier.citationDow, Eric A., and Qiqi Wang. “Optimal Design and Tolerancing of Compressor Blades Subject to Manufacturing Variability.” 16th AIAA Non-Deterministic Approaches Conference (January 10, 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.approverWang, Qiqien_US
dc.contributor.mitauthorDow, Eric A.en_US
dc.contributor.mitauthorWang, Qiqien_US
dc.relation.journalProceedings of the 16th AIAA Non-Deterministic Approaches Conferenceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsDow, Eric A.; Wang, Qiqien_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9669-2563
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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