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

Chapter
Publication Date:
2021
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.
CRIS type:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Automotive; Centrifugal pump; Computational fluid dynamics (CFD); Surrogate-based optimization
List of contributors:
De Donno, R.; Fracassi, A.; Noventa, G.; Ghidoni, A.; Rebay, S.
Authors of the University:
GHIDONI ANTONIO
REBAY Stefano
Handle:
https://iris.unibs.it/handle/11379/538721
Book title:
Computational Methods in Applied Sciences
Published in:
COMPUTATIONAL METHODS IN APPLIED SCIENCES
Series
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