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Turbomachinery design by a swarm-based optimization method coupled with a CFD solver
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 Title & Authors
Turbomachinery design by a swarm-based optimization method coupled with a CFD solver
Ampellio, Enrico; Bertini, Francesco; Ferrero, Andrea; Larocca, Francesco; Vassio, Luca;
Multi-Disciplinary Optimization (MDO) is widely used to handle the advanced design in several engineering applications. Such applications are commonly simulation-based, in order to capture the physics of the phenomena under study. This framework demands fast optimization algorithms as well as trustworthy numerical analyses, and a synergic integration between the two is required to obtain an efficient design process. In order to meet these needs, an adaptive Computational Fluid Dynamics (CFD) solver and a fast optimization algorithm have been developed and combined by the authors. The CFD solver is based on a high-order discontinuous Galerkin discretization while the optimization algorithm is a high-performance version of the Artificial Bee Colony method. In this work, they are used to address a typical aero-mechanical problem encountered in turbomachinery design. Interesting achievements in the considered test case are illustrated, highlighting the potential applicability of the proposed approach to other engineering problems.
MDO;swarm intelligence;discontinuous Galerkin;turbomachinery;CFD;
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