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摩擦抵抗低減効果を持つ 機能性船底塗料の数値解析 Numerical simulation for functional painting of ship hull with friction drag reduction effect 応用流体力学グループ 高木 洋平 Research group of applied hydrodynamics Y. Takagi RIAM研究集会「壁乱流における大規模構造の統計法則と動力学に果たす役割」

Numerical simulation for functional painting of ship hull

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Page 1: Numerical simulation for functional painting of ship hull

摩擦抵抗低減効果を持つ 機能性船底塗料の数値解析

Numerical simulation for functional painting of ship hull with friction drag

reduction effect

応用流体力学グループ

高木 洋平

Research group of applied hydrodynamics

Y. Takagi

RIAM研究集会「壁乱流における大規模構造の統計法則と動力学に果たす役割」

Page 2: Numerical simulation for functional painting of ship hull

Turbulent drag reduction

• Applications in wall turbulence

Riblet Micro bubble

Stenzel et al., Prog. Org. Coat. (2011)

Page 3: Numerical simulation for functional painting of ship hull

Turbulent drag reduction

M. O. Kramer, J. American Soc. Naval Eng. (1960)

Compliant surface Requirement for ship hull: • Easy-to-use • Durability • Low cost

Painting is usually used for anti-fouling.

Functional painting with drag reduction effect

Page 4: Numerical simulation for functional painting of ship hull

Commercial painting

• LF-Sea (Nippon Paint)

– Hydrogel formation

– DR ~ 10%

– Biomimetic

– Water trapping effect

Water trapped layer

Page 5: Numerical simulation for functional painting of ship hull

Drag reduction effect with hydrogel

Result of towing tank test

山盛, TECHNO-COSMOS, 2005 山盛&島田, TECHNO-COSMOS, 2009

Water trapped layer

Proposed drag reduction mechanism

Page 6: Numerical simulation for functional painting of ship hull

Painting condition in sea water

Self-polishing type Hydration type

• Green • Stress relaxation

after shipping

Page 7: Numerical simulation for functional painting of ship hull

Structures around hydrogel painting

Proposed mechanism for drag reduction 1. Slip velocity due to water trapping 2. Stress relaxation due to compliant gel polymer 3. Surface deformation and roughness 4. Water penetration into hydrated and gel layers

(porous-like structure)

Page 8: Numerical simulation for functional painting of ship hull

1. Slip velocity due to water trapping: numerical modeling in plane channel flow

Page 9: Numerical simulation for functional painting of ship hull

Direct Numerical Simulation

(DNS) of turbulent channel flow

 

¶ui

¶t+

¶(uiu j )

¶x j

= -1

r

¶p

¶xi

+1

Re

¶2ui

¶x j

2

 

¶ui

¶xi

= 0

Navier-Stokes equation:

Continuity equation:

Property Symbol Value

Grid number

Re number

Nx×Ny×Nz

ReC (Ret)

128×151×128

4200 (180)

Numerical scheme

• 2nd-order Finite Difference Method

• Crank Nicholson for viscous term

• 3rd-order Runge-Kuttta

• Poisson eq. in Fourier space was

solved by TDMA.

Governing equations

Page 10: Numerical simulation for functional painting of ship hull

Slip velocity condition

 

us = lx

¶u

¶y,ws = lz

¶w

¶y

 

lx ,lz = fx f zl0

Local slip velocity

where

Property Value

Reference slip length (l0+)

Slip wave length:

x-direction (lx+)

z-direction (lz+)

0.36

275, 368, 550, 735, 1100

50, 100, 183, 367

Page 11: Numerical simulation for functional painting of ship hull

Validation of simulation code

Case Slip length DR

(Min & Kim[1])

DR

(Present)

Streamwise slip lx+ = 0.36, lz

+ = 0 5% 5.5%

Spanwise slip lx+ = 0, lz

+ = 0.36 -3% -3.6%

Isotropic slip lx+ = lz

+ = 0.36 -1% -0.6%

Drag reduction ratio (DR) under uniform slip velocity condition

[1] T. Min and J. Kim, Phys. Fluids, 16(7), L55 (2004).

Drag reduction ratio

Page 12: Numerical simulation for functional painting of ship hull

Validation of simulation code

Mean velocity profiles under uniform slip velocity condition

Drag decrease/increase

mechanism (Min&Kim, 2004)

Page 13: Numerical simulation for functional painting of ship hull

Streak structure

Streamwise velocity fluctuation at y+ ~ 5.8

u’ > 0: high speed streak

u’ < 0: low speed streak

Page 14: Numerical simulation for functional painting of ship hull

Scale of streak structures

Two-point correlations at y+ ~ 5.8

In the streamwise direction In the spanwise direction

Negative correlation is related with the scale of high/low streaks.

Page 15: Numerical simulation for functional painting of ship hull

Scale of streak structures

xS+ ~ 500

Page 16: Numerical simulation for functional painting of ship hull

Dependency of local slip velocity

Optimum local slip condition was not specified uniquely.

Page 17: Numerical simulation for functional painting of ship hull

Suppression of energy dissipation

One-dimensional energy spectra at y+ ~ 5.8

The spanwise intensity of streak structure decreased by local slip.

Page 18: Numerical simulation for functional painting of ship hull

Vortex interaction

Two-point correlation of vorticity Velocity fluctuation (streak structure)

Peaks by local slip

No significant change

Vortex interaction was seen in the

horizontal plane.

Page 19: Numerical simulation for functional painting of ship hull

Summary of topic 1

• A turbulent channel flow simulation with local

slip velocity was carried out.

• The slip wavelength compared with the size of

streak structure was effective for drag reduction.

• The spanwise energy dissipation related with

the streak scale was selectively suppressed.

• The vortex interaction was seen in the

streamwise and spanwise directions. However,

it did not lead to drag increase.

Page 20: Numerical simulation for functional painting of ship hull

2. Stress relaxation due to compliant gel polymer: Nonlinear response of hydrogel to shear stress

Page 21: Numerical simulation for functional painting of ship hull

Response to high wall shear stress

• Gel: nonlinear stress response

 

¶ui

¶y

No-slip

Slip

Simplified nonlinear-response

0

Page 22: Numerical simulation for functional painting of ship hull

Threshold of slip condition

Nonlinear stress response Calculated range of velocity gradient

on wall (no-slip case)

 

¶u

¶y~ 8,

¶w

¶y~ 1

Label Type Threshold

Case 1 only x-slip

0 ~ 20 Case 2 only z-slip

Case 3 isotropic (xz-slip)

Page 23: Numerical simulation for functional painting of ship hull

Dependency of drag reduction

Total slip effect was given by the summation of each contribution.

Page 24: Numerical simulation for functional painting of ship hull

Summary of topic 2

• A three-dimensional simulation considering shear stress

response in hydrogel was carried out.

• Although the stress response was isotropic, significant

drag reduction effect was achieved.

• Isotropic hydrogel painting might be useful for wall

turbulence with the change of streamwise direction.

In oblique flow Super hydrophobic flow

Ou&Rothstein,2005

Page 25: Numerical simulation for functional painting of ship hull

3. Surface deformation and roughness: wavy channel flow simulation

Page 26: Numerical simulation for functional painting of ship hull

Numerical condition

Wave shape of the wall :

Streamwise wavy channel Spanwise wavy channel Case 1

Case1 Case2 Case3

Wave type streamwise spanwise

Wave length(λ) [m] 2.0 1.33 0.1

Amplitude(a) [m]

Grid Number(x, y, z) 148,95,128 128,95,148 129,97,241

Page 27: Numerical simulation for functional painting of ship hull

5600ν

δ2 mu

eR

um: mean velocity

δ : channel-half width

ν : kinematic viscosity

Cyclic

Wall

DNS of a turbulent channel flow by using OpenFOAM®

[1] J. Kim et al., J. Fluid Mech., 177, pp. 133-166 (1987).

No turbulence model

Label Grid number Method

Kim et al. (1987)[1]

192×129×160

Fourier-spectral

Coarse 64×64×64

Middle 96×96×96 FVM with OF

Fine 128×128×128

Code validation

Page 28: Numerical simulation for functional painting of ship hull

Code validation

Middle and Fine resolution

showed good agreements.

OpenFOAM is available for

DNS on a turbulent channel flow.

Mean velocity profiles

Coarse Middle Fine

Averaged y+ 0.60 0.51 0.49

Page 29: Numerical simulation for functional painting of ship hull

Drag reduction ratio (DR)

flat

wavyflat

dx

dP

dx

dP

dx

dP

DR

: mean pressure gradient in a flat channel

flatdx

dP

: mean pressure gradient in a wavy channel

wavydx

dP

Drag increase Drag reduction

Case 1

DR = -20.4 %

Case 2

DR = -9.4 %

Case 3

DR = +9.3 %

Page 30: Numerical simulation for functional painting of ship hull

a

The peak of RMS value profile

Most random flow region

z direction

wave tip

y δ

Two peaks above and below wave tip

Discussion ― Case1 : streamwise wavy channel

Page 31: Numerical simulation for functional painting of ship hull

Fluctuation is conserved in the wall wave

Vortex ?

Median diameter of eddies Case1 Case 2 Case 3 Flat channel

Median diameter [m] 0.184 0.272 0.09 0.240

Spanwise wave spacing[m] 1.333 0.1 ―

DR [%] -20.4 -9.4 +9.3 0

z (spanwise direction )

z (spanwise direction )

Advance the dissipation Drag reduction

Unit vortex in one wave Some vortices in one wave

Case 2 Case 3

collision

Case2 and Case 3 : spanwise wavy channel

Page 32: Numerical simulation for functional painting of ship hull

• Drag reduction effect was shown when collision of vortices was

suppressed by wall shape. • Dissipation was advanced by collision of several vortices in one

wave .

Case1 Case2 Case 3

Wave type Streamwise Spanwise

Wave length(λ) 2.0 1.33 0.1

Median diameter 0.184 0.272 0.09

DR [%] -20.4 -9.4 9.3

Soft matter, Hydrogel, has advantage for drag reduction on ships bottom surface

Summary of topic 3

Page 33: Numerical simulation for functional painting of ship hull

4. Water penetration into hydrated and gel layers (porous-like structure): channel flow with porous wall

Page 34: Numerical simulation for functional painting of ship hull

1) K. Suga et al., Int. J. Heat Fluid Flow, 32, 586-595 (2011)

2) S. Hahn et al., J. Fluids Mech. vol. 450, pp. 259- 285(2002)

3) W. P. Breugem et al., J. Fluids Mech. vol. 562, pp. 35-72 (2006)

Approaches for fluid flow through porous structure

Boundary condition approach2)

Decrease of skin friction due to slip velocity

Increase of turbulent drag

?

• Experimental research • Observation of

sweep/ejection near wall1)

• Numerical research

Continuum approach3)

Page 35: Numerical simulation for functional painting of ship hull

Case 5%D 10%D 20%D Flat

Total channel width

149,(129+16),129 149,(129+20),129 149,(129+20),129 129,129,129

)(2 pf f4

f2

5600)(2

Re

pfmm

u

Non-uniform grid 5.0

miny

f

p

: Width of fluid region : Porous wall thickness

Numerical conditions

Porous region

Fluid region

Page 36: Numerical simulation for functional painting of ship hull

DNS of turbulent channel flow

Spatial discretization scheme Finite Volume Method Time advancement Implicit Euler method ( 1 st) Poisson equation PISO algorithm

Continuity equation

Momentum equation

0 u

Suu

)1(' 2 pDt

D

Governing equations Numerical scheme

OpenFOAM®

mmm uuuSK

c

K

f2

Darcy-Forchheimer equation

Porous model : Porosity 0.80

K : Permeability 0.02 [mm2]

cf : Forcheheimer

coefficient 0.17

Page 37: Numerical simulation for functional painting of ship hull

Drag reduction ratio

FIK identity[1]

Viscous term and Turbulent term

Case DR [%]

5%D 6.55 +9.6 9

10%D 7.16 +1.3 18

20%D 7.56 -4.3 37

Flat 7.25

[1 ]Fukagata, K., Iwamoto, K. and Kasagi, N., Phys. Fluids, 14 (2002), pp.73-76

Page 38: Numerical simulation for functional painting of ship hull

Turbulent statistics

Mean velocity profiles Turbulence intensity

Slip velocity occurred over porous walls.

Turbulent intensity became stronger.

Page 39: Numerical simulation for functional painting of ship hull

Turbulent structure – Streak structure

Flat Smooth Channel 5%D (DR=+9.6%) Longer streaky structure

10%D (DR=+1.3%) 20%D (DR=-4.3%)

Page 40: Numerical simulation for functional painting of ship hull

Effect of wall thickness

The mechanism of vortex generation

Porous wall

Unstable

Flat wall

Page 41: Numerical simulation for functional painting of ship hull

Effect of wall thickness

The mechanism of vortex generation and decaying

Thick Porous wall (Drag increasing)

Unstable

Thin porous wall (Drag reducing)

Weak source flow

Page 42: Numerical simulation for functional painting of ship hull

Joint Probability Density Function (JPDF)

The mechanism of vortex generation and decaying

Thick Porous wall 20%D (Drag increasing) Thin porous wall 5%D (Drag reducing)

Page 43: Numerical simulation for functional painting of ship hull

Summary of topic 4

• The direct numerical simulation on a channel with porous walls which had varying wall thickness were carried out.

• The drag reduction was achieved over the thinnest porous wall,

and in that case, turbulent intensity became weaker. • The turbulent structures suggested that the relationship between

the intensity of sweep (or ejection) and the thickness of porous wall was an important factor for drag reduction.

Page 44: Numerical simulation for functional painting of ship hull

5. Experimental evaluation of drag reduction: Taylor-Couette flow

Page 45: Numerical simulation for functional painting of ship hull

ri : radius of inner cylinder [m]

ro : radius of outer cylinder [m]

L: height [m]

ω: angular velocity [m]

d: gap between the cylinders [m]

ν: kinetic viscosity [m2/s]

ρ: density [kg/m3]

T: toque of inner cylinder [Nm]

dreR i

Nondimensionalized

torque: L

TG

2

= 48 mm

= 64 mm

= 128 mm

ri

ro

L

mmh

mmr

mmr

o

i

128

64

48

Motor

Torque Meter

Acrylic

outer cylinder

Stainless

inner cylinder

Camera

ω

Rotating cylinder facility

Reynolds number:

Experimental setup

Page 46: Numerical simulation for functional painting of ship hull

Re = 4.4×104

dreR i

mmh

mmr

mmr

o

i

128

64

48

Motor

Torque Meter

Acrylic

outer cylinder

Stainless

inner cylinder

Camera

ω

Rotating cylinder facility

Reynolds number:

Flow pattern

Wavy vortexes

Re = 8.8×103

Steady vortexes

Re = 4.2×103

Page 47: Numerical simulation for functional painting of ship hull

oi rrratioradius /:

547.1

4/7

2/3

425.1

4/7

2/3

10Re10Re)1(

23.0

10Re104Re)1(

45.1

for

for

G =

Wendt’s empirical relations

F. Wendt, Ingenieur-Archiv. 4, 577 (1933).

109

108

107

106 103 104 105

Re

G

Validity of measurement

Page 48: Numerical simulation for functional painting of ship hull

4.4×104 < Re < 8.1×104

Range of Re

Smooth Cured Hydrogel

Test cylinders

Cured

Hydrogel

Thick

380 μm

380 μm

Thin

240 μm

240 μm

Thickness of coating

Thickness of primer

1st layer : 140 μm

2nd layer : 80 μm

Total : 220 μm

Experimental conditions

Page 49: Numerical simulation for functional painting of ship hull

Torque G of hydrogel coating was smaller than that of Cured coating.

109

108 104 105

G

Re

L

TG

2

Nondimensionalized torque

dreR i

Reynolds number

Drag reduction effect

Page 50: Numerical simulation for functional painting of ship hull

109

108 104 105

G

Re

L

TG

2

Nondimensionalized torque

dreR i

Reynolds number

Drag reduction effect

Page 51: Numerical simulation for functional painting of ship hull

105

Thick

Thin

Re

DR

104

0

5

10

15

20

25

30

35

40

100

Cured

HydrogelCured

G

GGDR

Drag Reduction Ratio

Drag reduction effect of thin hydrogel was larger than thick one.

Relation with DR and Re

DR ~ 7%