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Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Optimization of jet parameters to controlthe flow over a ramp
Emmanuel GUILMINEAU 1, Régis DUVIGNEAU 2,Jérémie LABROQUERE 2
1LHEEA, CNRS UMR 6598,Ecole Centrale de Nantes
2 Opale Project-Team,INRIA Sophia Antipolis
3rd GDR Symposium Flow Separation Control7-8 November 2013
Lille
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
NUMERICAL TOOLS
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
THE FLOW SOLVER: ISIS-CFD
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
The flow solver: ISIS-CFD
Incompressible viscous flows
immiscible phases
Reynolds averaged Navier Stokes equationsFully implicit finite volume discretization
Arbitrary shaped control volumeSecond order in space and timeSIMPLE-like algorithm: pressure equationParallel version
Turbulence modeling1 Eq : Spalart-Allmaras2 Eqs: K-ε, K-ω Wilcox/Menter, EASM, ARSM7 Eqs: Rij −ω
Hybrid LES model: DES
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
OPTIMIZER: FAMOSA (INRIA)
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
The optimizer: FAMOSA
Efficient Global Optimization (EGO) algorithm
Iterative construction of a database and related Gaussianmodel
Enrichment driven by a statistical merit functionAlgorithm organized in two phases
An initial a priori database is constructed, that gathers theflow response corresponding to different jet parametervalues. The control parameters are chosen in order toexplore uniformly the search space, according to a DesignOf Experiments (DOE) method.A kriging model is constructed on the basis of available dataand is used to determine which flow simulations should becarried out and added into the database. This phase is thenrepeated until convergence of the algorithm.
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Efficient Global Optimization loop
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
NUMERICAL DATA
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Computational domain
Physical parameters:
Height of the step: h = 100 mm
Upstream velocity: Uref = 20 m/s
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Boundary conditions
Numerical parameters:
Turbulence model: K-ω SST
Time step: ∆t = 5e-5 s
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Mesh
Number of nodes 73 502Number of cells 71 375
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Evolution of y+
Y+ Y+Distance from the wall on the step on the other walls
3.6e-3 mm ≤ 0.15 ≤ 0.51
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
RESULTS
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
INITIAL CONFIGURATION
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Velocity profile at X/h = -2.4
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Streamlines
Xc /h 2.659Yc /h 0.455Lr /h 5.333
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
CONFIGURATION WITH A SYNTHETIC JET
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configurations
Two positions of the jet
Configuration A Configuration BWidth of the slot: s = 0.5 mm = 0.05h
Normal direction to the wall
Simulation time: 30 periods of the jet (T)
Number of time step / T: 200
Mean flow on the last 5 periods of the jet
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Design of experiments
A priori database used to explore the design space defined bythe following jet parameters ranges
Amplitude: 15 m/s ≤ Ujet ≤ 100 m/s
Frequency: 50 Hz ≤ fjet ≤ 600 Hz
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration A
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration A: Optimization history
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration A: Meta model at the last step ofthe optimization
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration A : Best results
Amplitude : 63.760 m/s
Frequency : 77.330 Hz ( St = fjet hU∞
∼ 0.387 )
Recirculation length: 4.040h (∼ -24%)
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration B
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration B: Optimization history
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration B: Meta model at the last step ofthe optimization
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Configuration B: Best results
Amplitude : 88.193 m/s
Frequency : 62.086 Hz ( St = fjet hU∞
∼ 0.310 )
Recirculation length: 4.061h (∼ -24%)
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Streamline in the last period
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Streamlines at t = t0
Configuration A
Configuration B
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Streamlines at t = t0 + 15T
Configuration A
Configuration B
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Streamlines at t = t0 + 25T
Configuration A
Configuration B
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Streamlines at t = t0 + 35T
Configuration A
Configuration B
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Streamlines at t = t0 + 45T
Configuration A
Configuration B
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
CONCLUSIONS & PERSPECTIVES
Optimization ofjet parameters tocontrol the flow
over a ramp
EmmanuelGUILMINEAU ,
RégisDUVIGNEAU ,
JérémieLABROQUERE
Numerical toolsFlow solver: ISIS-CFD
Optimizer: FAMOSA
Numerical dataInitial configuration
Configuration with asynthetic jet
Configuration A
Configuration B
Streamline in the lastperiod
Conclusions &Perspectives
Conclusions & Perspectives
Conclusions:2 positions of the synthetic jet studied
One just before the corner of the stepOne just after the corner of the step
Direction of jet: normal to the wallThe position of the jet does not influence the flowThe meta model begins to oscillates after the iteration 4.
Perspectives:Influence of the bounds of the design space
Amplitude: 15 m/s ≤ Ujet ≤ 100 m/sFrequency: 50 Hz ≤ fjet ≤ 600 Hz
Configuration A: : Ujet = 123.58 m/s & fjet = 615.41 HzInfluence of the turbulence model
Turbulence model Recirculation lengthK - ω SST 5.333 hEARSM 6.594 h