Optimization of a single-stage double-suction centrifugal pump

In this study, the objective of the optimization of a double-suction pump is the maximization of its hydraulic efficiency. The optimization is performed, by means of the modeFRONTIER optimization platform, in steps. At first, by means of a DOE (Design of Experiments) strategy, the design space is ex...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2017-01, Vol.796 (1), p.12007
Main Authors: Škerlavaj, A, Morgut, M, Jošt, D, Nobile, E
Format: Article
Language:English
Subjects:
Centrifugal pumps
Design of experiments
Design parameters
Economic models
Metamodels
Optimization
Physics
Radial basis function
Regression models
Response surface methodology
Suction
Three dimensional models
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this study, the objective of the optimization of a double-suction pump is the maximization of its hydraulic efficiency. The optimization is performed, by means of the modeFRONTIER optimization platform, in steps. At first, by means of a DOE (Design of Experiments) strategy, the design space is explored, using a parameterized CAD representation of the pump. Suitable metamodels (surrogates or Response Surfaces), which represent an economical alternative to the more expensive 3D CFD model, are built and tested. Among different metamodels, the evolutionary design, radial basis function and the stepwise regression models seem to be the most promising ones. Finally, the stepwise regression model, trained on a set of 200 designs and constructed with only five the most influential input design parameters, was chosen as a potentially applicable metamodel.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/796/1/012007