Machine learning for optimal flow control in an axial compressor
Article dans une revue avec comité de lecture
Date
2023-04Journal
The European Physical Journal EAbstract
Air jets for active flow control have proved effective in postponing the onset of stall phenomenon in axial compressors. In this paper, we use a combination of machine learning and genetic algorithm to explore the optimal parameters of air jets to control rotating stall in the axial compressor CME2. Three control parameters are investigated: the absolute injection angle, the number of injector pairs and the injection velocity. Given an experimental dataset, the influence of the air jet parameters on the surge margin improvement and power balance is modeled using two shallow neural networks. Parameters of the air jets are then optimized using a genetic algorithm for three rotational velocities. First, surge margin improvement and power balance are being maximized independently. Then, a bi-objective optimization problem is posed to explore the trade-off between the two competing objectives. Based on the Pareto front, results suggest that a globally optimal set of parameters is obtained for a velocity ratio (defined as the ratio of the injection velocity to the rotor tip speed) ranging from 1.1 to 1.6 and an injection angle attack. These outcomes point out a potential generalization of the control strategy applicable to other compressors.
Files in this item
Related items
Showing items related by title, author, creator and subject.
-
Article dans une revue avec comité de lectureCHARLES, Antoine; ROMANO, Francesco; RIBEIRO, Thierry; AZIMI, Sam; ROCHER, Vincent; BAUDEZ, Jean-Christophe; BAHRANI, S. Amir (AIP Publishing, 2022-11)We investigate the laminar-to-turbulent transition for non-Newtonian Herschel–Bulkley fluids that exhibit either a shear-thinning or shear-thickening behavior. The reduced-order model developed in this study also includes ...
-
Article dans une revue avec comité de lecturePICELLA, Francesco; LUSSEYRAN, F; CHERUBINI, Stefania; PASTUR, L; ROBINET, Jean-Christophe; LOISEAU, Jean-Christophe (Cambridge University Press (CUP), 2018)The transition to unsteadiness of a three-dimensional open cavity flow is investigated using the joint application of direct numerical simulations and fully three-dimensional linear stability analyses, providing a clear ...
-
Article dans une revue avec comité de lecturePrevious research works have shown that the inflow boundary conditions have a significant effect on the behavior of diffusers in a centrifugal machine. To better understand the vaneless diffuser instability mechanism and ...
-
Article dans une revue avec comité de lectureEL MOKKADEM, Oussama; CHEN, Xintong; PHAN, Charlene; DELVA, Jérôme; JOSEPH, Pierric; DAZIN, Antoine; ROMANO, Francesco (Cambridge University Press (CUP), 2023-06)The flow dynamics of small-width wall-attached jets generated by a Coand-effect nozzle is investigated by unsteady Reynolds-averaged Navier–Stokes simulations. The data are validated by comparison with hot-wire velocity ...
-
Article dans une revue avec comité de lectureBARETTER, Alberto; GODARD, Benjamin; JOSEPH, Pierric; ROUSSETTE, Olivier; ROMANO, Francesco; BARRIER, Raphael; DAZIN, Antoine (MDPI AG, 2021-11)On many occasions, fan or compressor stages have to face azimuthal flow distortion at inlet, which affects their performance and stability. These flow distortions can be caused by external events or by some particular ...