• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire de Mécanique des Fluides de Lille (LMFL)
  • View Item
  • Home
  • Laboratoire de Mécanique des Fluides de Lille (LMFL)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Machine learning for optimal flow control in an axial compressor

Article dans une revue avec comité de lecture
Author
ELHAWARY, M. A.
ccROMANO, Francesco
531216 Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet [LMFL]
ccDAZIN, Antoine
531216 Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet [LMFL]
ccLOISEAU, Jean-Christophe
134975 Laboratoire de Dynamique des Fluides [DynFluid]

URI
http://hdl.handle.net/10985/24543
DOI
10.1140/epje/s10189-023-00284-9
Date
2023-04
Journal
The European Physical Journal E

Abstract

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

Name:
LMFL_EPJE_2023_ELHAWARY_ROMANO ...
Size:
1.562Mb
Format:
PDF
View/Open

Collections

  • Laboratoire de Mécanique des Fluides de Lille (LMFL)

Related items

Showing items related by title, author, creator and subject.

  • Laminar–turbulent intermittency in pipe flow for an Herschel–Bulkley fluid: Radial receptivity to finite-amplitude perturbations 
    Article dans une revue avec comité de lecture
    CHARLES, Antoine; ccROMANO, Francesco; RIBEIRO, Thierry; AZIMI, Sam; ROCHER, Vincent; ccBAUDEZ, 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 ...
  • Successive bifurcations in a fully three-dimensional open cavity flow 
    Article dans une revue avec comité de lecture
    PICELLA, Francesco; LUSSEYRAN, F; CHERUBINI, Stefania; PASTUR, L; ccROBINET, Jean-Christophe; ccLOISEAU, 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 ...
  • The ACONIT project: an innovative design approach of active flow control for surge prevention in gas turbines 
    Communication avec acte
    ccDAZIN, Antoine; ccJOSEPH, Pierric; ccROMANÒ, Francesco; GALLAS, Q; MARTY, J; AIGOUY, G; STÔΒEL, M; NIEHUIS, R (IOP Publishing, 2021-01-22)
    The objective of the ACONIT project is to design, manufacture and test actuators for flow control for an implantation in an aircraft engine. The actuators will fulfil aeronautics requirement in order to increase the ...
  • Experimental Analysis of an Axial Compressor Operating under Flow Distorsion 
    Communication avec acte
    BARETTER, Alberto; ROUSSETTE, Olivier; ROMANO, Francesco; ccDAZIN, Antoine; ccJOSEPH, Pierric (ASME, 2022-06)
    In aircraft engines, compressor stages can encounter situations in which the flow is distorted at rotor inlet, for example during particular flight maneuvers, or due to the shape of the inlet of the airframe. The main ...
  • Experimental and Numerical Analysis of a Compressor Stage under Flow Distortion 
    Article dans une revue avec comité de lecture
    BARETTER, Alberto; GODARD, Benjamin; ROUSSETTE, Olivier; ROMANÒ, Francesco; BARRIER, Raphael; ccDAZIN, Antoine; ccJOSEPH, Pierric (MDPI AG, 2021)
    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 ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales