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An adaptive sampling technique for optimizing the design of axial turbine endwalls

conference contribution
posted on 2018-08-30, 09:10 authored by Hakim T. Kadhim, Aldo Rona
Computer-based optimization is demonstrated for the design of a 1.5 stage axial turbine casing endwall. It uses a recursive implementation of the Optimal Latin Hypercube (OLH) technique for sampling the design space and Kriging as the surrogate model for performance. The latter is evaluated by Computational Fluid Dynamics (CFD). At design and at off design conditions, reductions in the stage total pressure loss coefficient verify the effectiveness of the optimization method.

History

Citation

Proceedings of the International Conference on Sustainable Aviation 2018, 2018, pp. 20-20 (1)

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Source

International Symposium on Sustainable Aviation 2018, University of Rome "La Sapienza", Rome, Italy

Version

  • AM (Accepted Manuscript)

Published in

Proceedings of the International Conference on Sustainable Aviation 2018

Publisher

Cetemenler Baski ve Kopyalama Merkezi

isbn

978-605-68640-0-1

Acceptance date

2018-07-02

Copyright date

2018

Publisher version

TBA

Notes

The file associated with this record is under embargo while permission to archive is sought from the publisher. The full text may be available through the publisher links provided above.

Editors

Karakoc, T. H.;Scarponi, C.;Sarasini, F.;Sohret, Y.

Temporal coverage: start date

2018-07-09

Temporal coverage: end date

2018-07-11

Language

en

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