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Advances in Aircraft and Spacecraft Science Volume 3, Number 2, April 2016 , pages 149-170 DOI: https://doi.org/10.12989/aas.2016.3.2.149 |
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Turbomachinery design by a swarm-based optimization method coupled with a CFD solver |
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Enrico Ampellio, Francesco Bertini, Andrea Ferrero, Francesco Larocca and Luca Vassio
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| Abstract | ||
| 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. | ||
| Key Words | ||
| MDO; swarm intelligence; discontinuous Galerkin; turbomachinery; CFD | ||
| Address | ||
| Enrico Ampellio: Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy Francesco Bertini: GE Avio S.r.l., Rivalta di Torino, Italy Andrea Ferrero: Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy Francesco Larocca: Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy Luca Vassio: Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino, Italy | ||
