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A Comparison of Panel Method and RANS Calculations
for a Ducted Propeller System in Open-Water
J. Baltazar1, D. Rijpkema2, J.A.C. Falc˜ao de Campos1, J. Bosschers2
1Marine Environment and Technology Center (MARETEC)
Instituto Superior T´ecnico, Technical University of Lisbon, Portugal
2Maritime Research Institute Netherlands (MARIN), the Netherlands
smp’13 Tasmania, Australia 5-8 May 1 / 22
Motivations
The computational time of flow around ducted propellers with RANS
Methods is still reasonably high:
Need of good numerical resolution in small regions dominated by
strong viscous effects such as in the gap between the propeller
blade tip and duct;
Accurate computations are associated with long computational
times, which makes the method less useful for routine design
studies.
smp’13 Tasmania, Australia 5-8 May 2 / 22
Motivations
A number of Panel Methods have been proposed for the analysis of
ducted propellers:
Kerwin et al. (1987), Hughes (1997), Lee and Kinnas (2006);
These methods are nowadays very efficient from the
computational point of view, which makes them suited for
design studies;
However, serious limitations are met due to their inability to
adequately model viscous effects (gap flow, separation
phenomena).
smp’13 Tasmania, Australia 5-8 May 3 / 22
Objectives
Comparison of Panel Code PROPAN (Baltazar et al., 2011)
with RANS Code ReFRESCO (Vaz et al., 2009)
to obtain a better insight:
on the viscous effects of a ducted propeller system;
on the limitations of the inviscid flow model.
smp’13 Tasmania, Australia 5-8 May 4 / 22
Panel Code PROPAN
IST in-house low-order potential-based panel method;
Structured surface grids;
Fredholm integral equation solved by the collocation method;
Constant source and dipole distributions;
Influence coefficients calculated using the formulations of
Morino and Kuo (1974);
Wake models: rigid wake model and wake alignment model
without and with duct boundary layer correction;
Iterative pressure Kutta condition;
Gap flow models: closed gap width and gap model with
transpiration velocity (Hughes, 1997).
smp’13 Tasmania, Australia 5-8 May 5 / 22
RANS Code ReFRESCO
MARIN in-house viscous flow CFD code;
Solves the incompressible RANS equations, complemented with
turbulence models;
The equations are discretised using a finite-volume approach
with cell-centered collocation variables;
Flow is considered turbulent, κ − ω SST 2-equation model by
Menter (1994) is used;
Higher-order convection scheme (QUICK) is used for the
momentum equations;
A fine boundary layer resolution is applied;
No wall functions are used (y+
∼ 1).
smp’13 Tasmania, Australia 5-8 May 6 / 22
Test Case
Ducted propeller in open-water conditions;
five-bladed propeller;
Gap width equal to 0.8% of the propeller radius;
Ducted propeller was tested for J from 0.1 to 1.5;
Re from 8.9×105
to 1.1×106
, with
Re =
c0.7R
√
U2+(nπ0.7D)2
ν
.
smp’13 Tasmania, Australia 5-8 May 7 / 22
Surface grid used for the inviscid calculations
Discretisation: 50×25 blade, 150×200 duct, 67×140 hub
smp’13 Tasmania, Australia 5-8 May 8 / 22
Surface grid used for the RANS calculations
Discretisation: 10 million cells
smp’13 Tasmania, Australia 5-8 May 9 / 22
Gap flow models in panel code PROPAN
Gap Flow Model with Transpiration Velocity:
Non zero-gap width: a partial flow is allowed to pass
in the gap region, Hughes (1997).
Transpiration velocity on the gap strip:
Vn = |U∞|CQ ∆Cpn · nc
Blade
Hub
Duct
Gap
Transpiration
Velocity
Closed Gap with Zero Gap Width:
Blade tip is on the duct surface.
smp’13 Tasmania, Australia 5-8 May 10 / 22
Influence of the gap model in the inviscid
calculations, J = 1.0
r/R
∆φ/(ΩR
2
)
0.2 0.4 0.6 0.8 1.0
-0.05
0.00
0.05
0.10
Closed Gap Model
Transpiration Velocity Gap Model
Position between blades [º]
∆φ/(ΩR
2
)
0.0 25.0 50.0 75.0
0.00
0.03
0.06
0.09
Closed Gap Model
Transpiration Velocity Gap Model
smp’13 Tasmania, Australia 5-8 May 11 / 22
Wake models in panel code PROPAN
Rigid Wake Model:
Propeller Blade Wake
Constant pitch of vortex lines
Geometrical blade pitch is used in the present study
Duct Wake
Constant radius vortex sheet
Shedding line at the duct trailing edge
Wake Alignment Model for Blade Wake:
Euler scheme in (x,r,θ) coordinate system
To control wake alignment stability,
the radial coordinates are kept constant
Inside duct boundary layer (δ/R = 4%):
power lay function for the axial velocity
(Baltazar et al., 2011)
smp’13 Tasmania, Australia 5-8 May 12 / 22
Influence of the wake model in the inviscid
calculations, J = 0.3 (left) and J = 1.0 (right)
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.5
0.0
0.5
Rigid Wake Model
Wake Alignment Model (WAM)
WAM with Duct Boundary Layer Correction
r/R=0.90
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.5
0.0
0.5
1.0
Rigid Wake Model
Wake Alignment Model (WAM)
WAM with Duct Boundary Layer Correction
r/R=0.90
smp’13 Tasmania, Australia 5-8 May 13 / 22
Comparison Between PROPAN and ReFRESCO
J = 0.3, x/R = 0.3 (left) and x/R = 0.5 (right)
smp’13 Tasmania, Australia 5-8 May 14 / 22
Comparison between PROPAN and ReFRESCO
J = 1.0, x/R = 0.3 (left) and x/R = 0.5 (right)
smp’13 Tasmania, Australia 5-8 May 15 / 22
Comparison between PROPAN and ReFRESCO
Blade pressure for J = 0.3
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.5
0.0
0.5
1.0
PROPAN
ReFRESCO
r/R=0.70
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.5
0.0
0.5
PROPAN
ReFRESCO
r/R=0.90
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.5
0.0
0.5
PROPAN
ReFRESCO
r/R=0.99
smp’13 Tasmania, Australia 5-8 May 16 / 22
Comparison between PROPAN and ReFRESCO
Duct pressure for J = 0.3
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
PROPAN
ReFRESCO
θ=0º
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
PROPAN
ReFRESCO
θ=30º
smp’13 Tasmania, Australia 5-8 May 17 / 22
Comparison between PROPAN and ReFRESCO
Blade pressure for J = 1.0
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-1.0
-0.5
0.0
0.5
1.0
PROPAN
ReFRESCO
r/R=0.70
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-1.0
-0.5
0.0
0.5
1.0
PROPAN
ReFRESCO
r/R=0.90
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.4
0.0
0.4
0.8
PROPAN
ReFRESCO
r/R=0.99
smp’13 Tasmania, Australia 5-8 May 18 / 22
Comparison between PROPAN and ReFRESCO
Duct pressure for J = 1.0
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.1
0.0
0.1
0.2
PROPAN
ReFRESCO
θ=0º
s/c
-Cp
0.0 0.2 0.4 0.6 0.8 1.0
-0.1
0.0
0.1
0.2
PROPAN
ReFRESCO
θ=30º
smp’13 Tasmania, Australia 5-8 May 19 / 22
Comparison between PROPAN and ReFRESCO
Wake geometry at z = 0 for J = 0.3
smp’13 Tasmania, Australia 5-8 May 20 / 22
Comparison between numerical
and experimental results
J
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5
Experiments
PROPAN
ReFRESCO
KTP
10KQ
η
KTD
smp’13 Tasmania, Australia 5-8 May 21 / 22
Conclusions
Similar potential flow results were obtained between the two gap
models;
Good agreement of the pressure distributions and loadings
between the panel code and the RANS calculations;
The comparison of the wake location predictions suggested that
the proposed mechanism of interaction of the tip vorticity with
the duct boundary layer flow may be important in the inviscid
modelling of the interaction between propeller and duct;
A reasonable to good agreement of the force coefficients
between the numerical and experimental results is obtained.
smp’13 Tasmania, Australia 5-8 May 22 / 22

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A Comparison of Panel Method and RANS Calculations for a Ducted Propeller System in Open-Water

  • 1. A Comparison of Panel Method and RANS Calculations for a Ducted Propeller System in Open-Water J. Baltazar1, D. Rijpkema2, J.A.C. Falc˜ao de Campos1, J. Bosschers2 1Marine Environment and Technology Center (MARETEC) Instituto Superior T´ecnico, Technical University of Lisbon, Portugal 2Maritime Research Institute Netherlands (MARIN), the Netherlands smp’13 Tasmania, Australia 5-8 May 1 / 22
  • 2. Motivations The computational time of flow around ducted propellers with RANS Methods is still reasonably high: Need of good numerical resolution in small regions dominated by strong viscous effects such as in the gap between the propeller blade tip and duct; Accurate computations are associated with long computational times, which makes the method less useful for routine design studies. smp’13 Tasmania, Australia 5-8 May 2 / 22
  • 3. Motivations A number of Panel Methods have been proposed for the analysis of ducted propellers: Kerwin et al. (1987), Hughes (1997), Lee and Kinnas (2006); These methods are nowadays very efficient from the computational point of view, which makes them suited for design studies; However, serious limitations are met due to their inability to adequately model viscous effects (gap flow, separation phenomena). smp’13 Tasmania, Australia 5-8 May 3 / 22
  • 4. Objectives Comparison of Panel Code PROPAN (Baltazar et al., 2011) with RANS Code ReFRESCO (Vaz et al., 2009) to obtain a better insight: on the viscous effects of a ducted propeller system; on the limitations of the inviscid flow model. smp’13 Tasmania, Australia 5-8 May 4 / 22
  • 5. Panel Code PROPAN IST in-house low-order potential-based panel method; Structured surface grids; Fredholm integral equation solved by the collocation method; Constant source and dipole distributions; Influence coefficients calculated using the formulations of Morino and Kuo (1974); Wake models: rigid wake model and wake alignment model without and with duct boundary layer correction; Iterative pressure Kutta condition; Gap flow models: closed gap width and gap model with transpiration velocity (Hughes, 1997). smp’13 Tasmania, Australia 5-8 May 5 / 22
  • 6. RANS Code ReFRESCO MARIN in-house viscous flow CFD code; Solves the incompressible RANS equations, complemented with turbulence models; The equations are discretised using a finite-volume approach with cell-centered collocation variables; Flow is considered turbulent, κ − ω SST 2-equation model by Menter (1994) is used; Higher-order convection scheme (QUICK) is used for the momentum equations; A fine boundary layer resolution is applied; No wall functions are used (y+ ∼ 1). smp’13 Tasmania, Australia 5-8 May 6 / 22
  • 7. Test Case Ducted propeller in open-water conditions; five-bladed propeller; Gap width equal to 0.8% of the propeller radius; Ducted propeller was tested for J from 0.1 to 1.5; Re from 8.9×105 to 1.1×106 , with Re = c0.7R √ U2+(nπ0.7D)2 ν . smp’13 Tasmania, Australia 5-8 May 7 / 22
  • 8. Surface grid used for the inviscid calculations Discretisation: 50×25 blade, 150×200 duct, 67×140 hub smp’13 Tasmania, Australia 5-8 May 8 / 22
  • 9. Surface grid used for the RANS calculations Discretisation: 10 million cells smp’13 Tasmania, Australia 5-8 May 9 / 22
  • 10. Gap flow models in panel code PROPAN Gap Flow Model with Transpiration Velocity: Non zero-gap width: a partial flow is allowed to pass in the gap region, Hughes (1997). Transpiration velocity on the gap strip: Vn = |U∞|CQ ∆Cpn · nc Blade Hub Duct Gap Transpiration Velocity Closed Gap with Zero Gap Width: Blade tip is on the duct surface. smp’13 Tasmania, Australia 5-8 May 10 / 22
  • 11. Influence of the gap model in the inviscid calculations, J = 1.0 r/R ∆φ/(ΩR 2 ) 0.2 0.4 0.6 0.8 1.0 -0.05 0.00 0.05 0.10 Closed Gap Model Transpiration Velocity Gap Model Position between blades [º] ∆φ/(ΩR 2 ) 0.0 25.0 50.0 75.0 0.00 0.03 0.06 0.09 Closed Gap Model Transpiration Velocity Gap Model smp’13 Tasmania, Australia 5-8 May 11 / 22
  • 12. Wake models in panel code PROPAN Rigid Wake Model: Propeller Blade Wake Constant pitch of vortex lines Geometrical blade pitch is used in the present study Duct Wake Constant radius vortex sheet Shedding line at the duct trailing edge Wake Alignment Model for Blade Wake: Euler scheme in (x,r,θ) coordinate system To control wake alignment stability, the radial coordinates are kept constant Inside duct boundary layer (δ/R = 4%): power lay function for the axial velocity (Baltazar et al., 2011) smp’13 Tasmania, Australia 5-8 May 12 / 22
  • 13. Influence of the wake model in the inviscid calculations, J = 0.3 (left) and J = 1.0 (right) s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.5 0.0 0.5 Rigid Wake Model Wake Alignment Model (WAM) WAM with Duct Boundary Layer Correction r/R=0.90 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.5 0.0 0.5 1.0 Rigid Wake Model Wake Alignment Model (WAM) WAM with Duct Boundary Layer Correction r/R=0.90 smp’13 Tasmania, Australia 5-8 May 13 / 22
  • 14. Comparison Between PROPAN and ReFRESCO J = 0.3, x/R = 0.3 (left) and x/R = 0.5 (right) smp’13 Tasmania, Australia 5-8 May 14 / 22
  • 15. Comparison between PROPAN and ReFRESCO J = 1.0, x/R = 0.3 (left) and x/R = 0.5 (right) smp’13 Tasmania, Australia 5-8 May 15 / 22
  • 16. Comparison between PROPAN and ReFRESCO Blade pressure for J = 0.3 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.5 0.0 0.5 1.0 PROPAN ReFRESCO r/R=0.70 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.5 0.0 0.5 PROPAN ReFRESCO r/R=0.90 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.5 0.0 0.5 PROPAN ReFRESCO r/R=0.99 smp’13 Tasmania, Australia 5-8 May 16 / 22
  • 17. Comparison between PROPAN and ReFRESCO Duct pressure for J = 0.3 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 PROPAN ReFRESCO θ=0º s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 PROPAN ReFRESCO θ=30º smp’13 Tasmania, Australia 5-8 May 17 / 22
  • 18. Comparison between PROPAN and ReFRESCO Blade pressure for J = 1.0 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -1.0 -0.5 0.0 0.5 1.0 PROPAN ReFRESCO r/R=0.70 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -1.0 -0.5 0.0 0.5 1.0 PROPAN ReFRESCO r/R=0.90 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.4 0.0 0.4 0.8 PROPAN ReFRESCO r/R=0.99 smp’13 Tasmania, Australia 5-8 May 18 / 22
  • 19. Comparison between PROPAN and ReFRESCO Duct pressure for J = 1.0 s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.1 0.0 0.1 0.2 PROPAN ReFRESCO θ=0º s/c -Cp 0.0 0.2 0.4 0.6 0.8 1.0 -0.1 0.0 0.1 0.2 PROPAN ReFRESCO θ=30º smp’13 Tasmania, Australia 5-8 May 19 / 22
  • 20. Comparison between PROPAN and ReFRESCO Wake geometry at z = 0 for J = 0.3 smp’13 Tasmania, Australia 5-8 May 20 / 22
  • 21. Comparison between numerical and experimental results J 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 Experiments PROPAN ReFRESCO KTP 10KQ η KTD smp’13 Tasmania, Australia 5-8 May 21 / 22
  • 22. Conclusions Similar potential flow results were obtained between the two gap models; Good agreement of the pressure distributions and loadings between the panel code and the RANS calculations; The comparison of the wake location predictions suggested that the proposed mechanism of interaction of the tip vorticity with the duct boundary layer flow may be important in the inviscid modelling of the interaction between propeller and duct; A reasonable to good agreement of the force coefficients between the numerical and experimental results is obtained. smp’13 Tasmania, Australia 5-8 May 22 / 22