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Surrogate Assisted Design Optimization of an Air Turbine
Joint Authors
Badhurshah, Rameez
Samad, Abdus
Source
International Journal of Rotating Machinery
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Surrogates are cheaper to evaluate and assist in designing systems with lesser time.
On the other hand, the surrogates are problem dependent and they need evaluation for each problem to find a suitable surrogate.
The Kriging variants such as ordinary, universal, and blind along with commonly used response surface approximation (RSA) model were used in the present problem, to optimize the performance of an air impulse turbine used for ocean wave energy harvesting by CFD analysis.
A three-level full factorial design was employed to find sample points in the design space for two design variables.
A Reynolds-averaged Navier Stokes solver was used to evaluate the objective function responses, and these responses along with the design variables were used to construct the Kriging variants and RSA functions.
A hybrid genetic algorithm was used to find the optimal point in the design space.
It was found that the best optimal design was produced by the universal Kriging while the blind Kriging produced the worst.
The present approach is suggested for renewable energy application.
American Psychological Association (APA)
Badhurshah, Rameez& Samad, Abdus. 2014. Surrogate Assisted Design Optimization of an Air Turbine. International Journal of Rotating Machinery،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1037632
Modern Language Association (MLA)
Badhurshah, Rameez& Samad, Abdus. Surrogate Assisted Design Optimization of an Air Turbine. International Journal of Rotating Machinery No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1037632
American Medical Association (AMA)
Badhurshah, Rameez& Samad, Abdus. Surrogate Assisted Design Optimization of an Air Turbine. International Journal of Rotating Machinery. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1037632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037632