![](/images/graphics-bg.png)
Design Optimization of the Centrifugal Pumps via Low Fidelity Models
Joint Authors
Samad, Abdus
Siddique, M. Hamid
Afzal, Arshad
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-21
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Low fidelity model assisted design optimization of turbomachines has reduced the total computational and experimental costs.
These models are called surrogate models which mimic the actual experiments or simulations.
The surrogate models can generate thousands of approximate results from a few samples, making it easy to locate the optimal solution.
Ample articles reported surrogate assisted design optimization of centrifugal pumps.
In this article, the authors try to give a brief overview of the surrogate based optimization technique along with its historical applications and trend of the recent use.
The various key design parameters which affect the performance of the centrifugal pump have also been discussed.
The effectiveness of the surrogate based optimization technique and corresponding performance metrics have been discussed.
American Psychological Association (APA)
Siddique, M. Hamid& Afzal, Arshad& Samad, Abdus. 2018. Design Optimization of the Centrifugal Pumps via Low Fidelity Models. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1207245
Modern Language Association (MLA)
Siddique, M. Hamid…[et al.]. Design Optimization of the Centrifugal Pumps via Low Fidelity Models. Mathematical Problems in Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1207245
American Medical Association (AMA)
Siddique, M. Hamid& Afzal, Arshad& Samad, Abdus. Design Optimization of the Centrifugal Pumps via Low Fidelity Models. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1207245
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207245