MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Optimal Design and Tolerancing of Compressor Blades Subject to Manufacturing Variability

Author(s)
Dow, Eric A.; Wang, Qiqi
Thumbnail
Downloadfinal.pdf (1.206Mb)
OPEN_ACCESS_POLICY

Open Access Policy

Creative Commons Attribution-Noncommercial-Share Alike

Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Abstract
This 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.
Date issued
2014-01
URI
http://hdl.handle.net/1721.1/97545
Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Journal
Proceedings of the 16th AIAA Non-Deterministic Approaches Conference
Publisher
American Institute of Aeronautics and Astronautics
Citation
Dow, 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).
Version: Author's final manuscript

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.