This paper investigates the capability of a surrogate-based optimization technique for the fast and robust design of centrifugal pumps. The centrifugal pump considered in this work is designed for automotive cooling system and consists of an impeller and a volute. A fully three-dimensional geometry parametrization based on Bézier surfaces for the impeller and the volute is presented. The optimization strategy is based only on open-source software (with the exception of the mesh generation process), i.e. Scilab for the geometric parametrization, OpenFOAM for the CFD simulations and DAKOTA for the optimization. To assess the potential and robustness of the proposed methodology, the initial geometry was chosen very far from the optimum design, having an impeller with straight blades. The operating conditions have been provided by the Italian company Industrie Saleri Italo S.p.A. and are typical of a Diesel engine.

Surrogate-Based Shape Optimization of Centrifugal Pumps for Automotive Engine Cooling Systems

Fracassi A.;Noventa G.;Ghidoni A.;Rebay S.
2021-01-01

Abstract

This paper investigates the capability of a surrogate-based optimization technique for the fast and robust design of centrifugal pumps. The centrifugal pump considered in this work is designed for automotive cooling system and consists of an impeller and a volute. A fully three-dimensional geometry parametrization based on Bézier surfaces for the impeller and the volute is presented. The optimization strategy is based only on open-source software (with the exception of the mesh generation process), i.e. Scilab for the geometric parametrization, OpenFOAM for the CFD simulations and DAKOTA for the optimization. To assess the potential and robustness of the proposed methodology, the initial geometry was chosen very far from the optimum design, having an impeller with straight blades. The operating conditions have been provided by the Italian company Industrie Saleri Italo S.p.A. and are typical of a Diesel engine.
2021
Ateneo di appartenenza
Computational Methods in Applied Sciences
PE8_5 Fluid mechanics, hydraulic-, turbo-, and piston engines
PE8_4 Computational engineering
Esperti anonimi
Inglese
Internazionale
ELETTRONICO
55
277
290
14
978-3-030-57421-5
978-3-030-57422-2
Springer Science and Business Media B.V.
Automotive; Centrifugal pump; Computational fluid dynamics (CFD); Surrogate-based optimization
no
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
5
268
none
De Donno, R.; Fracassi, A.; Noventa, G.; Ghidoni, A.; Rebay, S.
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/538721
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