• 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.

Instabilities identification based on a new centrifugal 3D impeller outflow model

Article dans une revue avec comité de lecture
Author
FAN, Meng
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]
BOIS, Gérard
531216 Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet [LMFL]
ccROMANO, Francesco
531216 Laboratoire de Mécanique des Fluides de Lille - Kampé de Fériet [LMFL]

URI
http://hdl.handle.net/10985/24325
DOI
10.1016/j.ast.2023.108466
Date
2023-09
Journal
Aerospace Science and Technology

Abstract

Previous 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 save computing resources, several numerical works are planned to be conducted for the solely vaneless diffuser, excluding the rest of the centrifugal machine from the flow domain to simulate. Previous reduced-order models used either two-dimensional approaches that focused exclusively on the core-flow instability or three-dimensional models tested for a few inflow conditions. To obtain the more realistic diffuser inlet boundary conditions, a modeling method is here developed by fitting the diffuser inflow velocity derived from numerical simulations of the entire machine. The classic fitting methods used to approximate inflow profiles by algebraic polynomials or Gaussian functions are observed to introduce numerical artifacts that significantly affect the flow and therefore its stability. The multi-stage scale-matching fitting approach developed in this study is designed as a robust successive-order approximation of the inflow conditions. Our objective is to demonstrate its robust capability of taking into account the main physical features of the inlet velocity profiles, which, in turn, allows us to significantly improve the prediction of the flow instability occurring in the pump diffuser. Firstly, the RANS and URANS simulations of the entire machine are carried out by OpenFOAM using the SST turbulence model. The simulation results show that the RANS simulation is efficient in correctly capturing the diffuser inlet velocity profile except for developed stall conditions. The RANS simulations are carried out for cases with three different kinds of leakage configurations between the impeller and the diffuser. For each case, five flow rates were simulated to get the basic data for fitting the inlet profiles for a total of 125 simulations. The diffuser inlet velocity profiles are averaged in the azimuthal direction and fitted such to obtain an explicit function for the azimuthally-averaged velocity profile that varies with the flow rate Q. The fitting results are very close to the original data, and using our fits to predict the diffuser flow instabilities we show that our modeling approach compares well against the URANS simulations of the whole machine.

Files in this item

Name:
LMFL_AST_2023_FAN_DAZIN_BOIS_R ...
Size:
6.054Mb
Format:
PDF
Embargoed until:
2024-04-01
View/Open

Collections

  • Laboratoire de Mécanique des Fluides de Lille (LMFL)

Related items

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

  • Effect of inlet leakage flow on the instability in a radial vaneless diffuser 
    Article dans une revue avec comité de lecture
    FAN, M.; ccDAZIN, Antoine; BOIS, G.; ccROMANO, Francesco (AIP Publishing, 2023-01)
    The internal flow structures in a vaneless diffuser of a radial pump are experimentally and numerically investigated. Numerical simulations are used for investigating the prominent features of the fluid flow in the vaneless ...
  • Machine learning for optimal flow control in an axial compressor 
    Article dans une revue avec comité de lecture
    ELHAWARY, M. A.; ccROMANO, Francesco; ccDAZIN, Antoine; ccLOISEAU, Jean-Christophe (Springer Science and Business Media LLC, 2023-04)
    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 ...
  • Small-width wall-attached Coandǎ jets for flow control 
    Article dans une revue avec comité de lecture
    EL MOKKADEM, Oussama; CHEN, Xintong; PHAN, Charlene; DELVA, Jérôme; ccJOSEPH, Pierric; ccDAZIN, Antoine; ccROMANO, 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 ...
  • 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
    ccBARETTER, Alberto; GODARD, Benjamin; ccJOSEPH, Pierric; ccROUSSETTE, Olivier; ccROMANO, Francesco; BARRIER, Raphael; ccDAZIN, 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 ...

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