Optimization of a single-stage double-suction centrifugal pump
| Autor: | Aljaž Škerlavaj, Mitja Morgut, Enrico Nobile, Dragica Jošt |
|---|---|
| Přispěvatelé: | Škerlavaj, A, Morgut, Mitja, Jošt, D, Nobile, Enrico |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Optimization
History Engineering Mathematical optimization metamodels centrifugal pump Parameterized complexity CAD 02 engineering and technology 01 natural sciences 010305 fluids & plasmas Education 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Radial basis function Representation (mathematics) metamodel business.industry Design of experiments Maximization Centrifugal pump Computer Science Applications Metamodeling 020201 artificial intelligence & image processing business |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|