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

Civil Engineering

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