ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
Laminar Boundary Layers To calculate the convective heat transfer coefficient, we have to analyze the boundary layer close to a rigid boundary: Conservation Equations Specific boundary conditions are necessary to simplify these equations. Within boundary layer: low velocities normal to wall Outside of boundary layer: Potential flow with u∞ und T∞, no effect of viscosity
Prof. Nico Hotz
1
ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
2D Boundary Layer: Forced convection over plate Potential flow
Flow in xdirection, y-direction ┴ to surface, z-direction is ∞
Boundary layers: Velocity: δ, Temperature δT u ( y = δ ) = 0.99 ⋅ u∞
T ( y = δ T ) − TW = 0.99 ⋅ (T∞ − TW )
Prof. Nico Hotz
2
ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
Goal of this analysis: Friction force on the surface (Newtonian fluid) L
F = ∫ τ w ⋅W ⋅ dx 0
L
⎛ ∂u ⎞ τ w = µ ⋅ ⎜⎜ ⎟⎟ ⎝ ∂y ⎠ y =0
→
⎛ ∂u ⎞ F = µ ⋅W ∫ ⎜⎜ ⎟⎟ ⋅ dx ∂y ⎠ y =0 0 ⎝
Heat transfer on the surface L
q = ∫ qʹ′wʹ′ ⋅W ⋅ dx 0
⎛ ∂T ⎞ qʹ′ʹ′ = −k ⋅ ⎜⎜ ⎟⎟ ⎝ ∂y ⎠ y =0
L
⎛ ∂T ⎞ q = −k ⋅W ∫ ⎜⎜ ⎟⎟ ⋅ dx ∂y ⎠ y =0 0 ⎝ Prof. Nico Hotz
3
ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
Laminar Boundary Layers: Solving the governing equations with three different methods: - Order of Magnitude Method (Approximation) - Approximate Integral Method - Exact Similarity Method
Prof. Nico Hotz
4
ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
Governing equations: KContinuity
∂u ∂ v + =0 ∂x ∂y
IMomentum
⎧ ∂u ⎛ ∂ 2u ∂ 2u ⎞ ∂u 1 ∂P +v =− + ν ⋅ ⎜⎜ 2 + 2 ⎟⎟ ⎪u ∂y ρ ∂x ∂y ⎠ ⎪ ∂x ⎝ ∂x ⎨ 2 2 ⎪u ∂v + v ∂v = − 1 ∂P + ν ⋅ ⎛⎜ ∂ v + ∂ v ⎞⎟ ⎜ ∂x 2 ∂y 2 ⎟ ⎪ ∂x ∂ y ρ ∂ y ⎝ ⎠ ⎩
ν =
EEnergy
⎛ ∂ 2T ∂ 2T ⎞ ∂T ∂T u + v ==αa⎜⎜ 2 + 2 ⎟⎟ ∂x ∂y ∂y ⎠ ⎝ ∂x
αa =
Prof. Nico Hotz
µ ρ
λk ρ ⋅ cp
5
ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
Boundary conditions for laminar boundary layers: y=0
u(0) = 0, v (0) = 0, T (0) = TW
y→∞
u( ∞) = u∞ , T ( ∞) = T∞ , P( ∞) = P∞
In the following, an estimation of phenomena in the boundary layer by analyzing orders of magnitude
Order of Magnitude Solution by Prandtl (1904)
Prof. Nico Hotz
6
ME 150 – Heat and Mass Transfer
Chap. 12.2.1: Velocity Boundary Layers
Velocity Boundary Layer Variables and orders of magnitudes: x : 0 ........ L
→
Δx ≈ L
y : 0 ........ δ
→
Δy ≈ δ
u : 0 ........U ∞
→
Δu ≈ U ∞
v : 0 .........v ?
→
Δv
Approximation of order of magnitude: v ∂u ∂v + =0 ∂x ∂y
→
U ∞ Δv + ≈0 → L δ
Δv = v ≈ U ∞
δ L
Signs are irrelevant ! Prof. Nico Hotz
7
ME 150 – Heat and Mass Transfer
Chap. 12.2.1: Velocity Boundary Layers
Rearranging of pressure terms (still unknown)
(dP )x
(dP )y
≈ ΔP x
≈ ΔP y
x - momentum equation: ⎛ ∂ 2 u ∂ 2 u ⎞ ∂u ∂u 1 ∂P u +v =− + ν ⋅ ⎜⎜ 2 + 2 ⎟⎟ ∂x ∂y ρ ∂x ⎝ ∂ x ∂ y ⎠
L>>δ
⎛ ⎜ U ∞ U ∞ U∞ δ U ∞ 1 ΔPx U∞ ⋅ + U∞ ⋅ ⋅ ≈ ⋅ + ν ⋅ ⎜ 2 + 2 L L δ ρ L L δ ⎜ ⎝ ≈ 0
Prof. Nico Hotz
⎞ ⎟ ⎟ ⎟ ⎠
8
ME 150 – Heat and Mass Transfer
Chap. 12.2.1: Velocity Boundary Layers
Significance of terms: 2
U 1 ΔPx U 2 ⋅ ∞ ≈ ⋅ + ν ⋅ ∞2 L ρ L δ ≈1 Reibung Druck Friction Trägheit Inertia Pressure
Similarly for y – momentum equation: 2
2 U ∞ ⋅ δ 1 ΔPy U∞ ≈ ⋅ + ν ⋅ 2 L ρ δ δ ⋅ L
U ∞ δ 1 ΔPy U δ ⋅ ≈ ⋅ + ν ⋅ ∞2 ⋅ → L L ρ δ δ L
Inertia
Pressure
Friction
Pressure terms: ∂P ∂P dP = ⋅ dx + ⋅ dy ∂x ∂y
→
ΔPy ΔPx ΔP = ⋅L + ⋅ δ = ΔPx + ΔPy L δ
Prof. Nico Hotz
9
ME 150 – Heat and Mass Transfer
Chap. 12.2.1: Velocity Boundary Layers
Pressure drop is caused by friction forces
→
Pressure and friction terms have the same oder of magnitude 1 ΔPx U ⋅ ≈ν ⋅ ∞2 ρ L δ
ΔPx ≈ L ⋅ ρ ⋅ν ⋅
→
U∞
δ2
= L⋅µ ⋅
U∞
δ2
Similarly for y – component: U 1 ΔPy ⋅ ≈ ν⋅ ∞ ρ δ δ ⋅L
ΔPy ≈ ν ⋅ ρ ⋅
→
U∞ U = µ⋅ ∞ L L
Total pressure difference: L>>δ
U ΔP ≈ µ ⋅ ∞ L
2
U ⎛ L ⎞ ⎜ ⎟ + µ ⋅ ∞ L ⎝ δ ⎠
Prof. Nico Hotz
ΔP y << ΔP x
10
ME 150 – Heat and Mass Transfer
Chap. 12.2.1: Velocity Boundary Layers
Conclusion: P = P( x) !
and
Therefore: x – momentum equation simplified:
dP =
∂P ⋅ dx ∂x
P( x) = P∞ ( x)
∂u ∂u 1 dP∞ ∂ 2u u⋅ + v⋅ =− ⋅ +ν⋅ 2 ∂x ∂y ρ dx ∂y
very often: P1(∞) = P2(∞) since: and →
P1(0) = P1(∞) P2(0) = P2(∞) P1(0) = P2(0)
Prof. Nico Hotz
11
ME 150 – Heat and Mass Transfer
Chap. 12.2.1: Velocity Boundary Layers
Summary: Results of “Order of magnitude analysis “ so far: • Pressure term in x – momentum equation = 0 • y – momentum equation is negligible Relevant equations for velocity boudary layer: ∂u ∂v + =0 ∂x ∂y
Continuity
∂u ∂u ∂ 2u u⋅ +v⋅ =ν⋅ 2 ∂x ∂y ∂y
x − momentum equation
with boundary conditions: y=0 y→∞
u=v=0 u = U∞
Prof. Nico Hotz
12
ME 150 – Heat and Mass Transfer
Chap. 12.2.2: Temperature Boundary Layers
Temperature Boundary Layer Thickness of velocity and temperature boundary layers are not identical !
(1) Analysis with assumption:
δ T >> δ Prof. Nico Hotz
13
ME 150 – Heat and Mass Transfer
Chap. 12.2.2: Temperature Boundary Layers
Order of magnitudes for energy equation: x : 0 ........ L
→
Δx ≈ L
y : 0 ........ δ T
→
Δy ≈ δ T
u : 0 ........U ∞
→
Δu ≈ U ∞
→
Δv ≈ U ∞ ⋅
v : 0 ........U ∞ ⋅ T : TW .....T∞
∂T u ∂x
δT L
→
∂T +v ∂y
δT
L ΔT ≈ TW − T∞
⎛ ∂ 2 T ∂ 2 T ⎞ = α ⎜⎜ 2 + 2 ⎟⎟ ∂ y ⎠ ⎝ ∂ x
⎛ ⎞ ⎜ ⎟ ⎜ T − T TW − T∞ ⎛ TW − T∞ ⎟ δ T ⎞ TW − T∞ W ∞ U∞ ⋅ + ⎜U ∞ ⋅ ⎟ ≈ α ⋅ ⎜ + ⎟ 2 2 L L δ L δ ⎝ ⎠ ⎜ ⎟ T T in ⎜ Conduction Conduction in ⎟ x − direction y − direction ⎠ ⎝
L >> δT Prof. Nico Hotz
14
ME 150 – Heat and Mass Transfer
Chap. 12.2.2: Temperature Boundary Layers
Simplified energy equation with boundary conditions: ∂T ∂T ∂ 2T u⋅ +v⋅ =α ⋅ 2 ∂x ∂y ∂y
with:
y =0 :
T = TW
y→ ∞ :
T = T∞
meaning:
δT >> δ
u(δ T ) = U ∞
(2) Analysis with assumption: Temperature boundary layer is smaller than velocity boundary layer
δ T << δ
u(δ T ) < U ∞
Orders of magnitude are different !
Prof. Nico Hotz
15
ME 150 – Heat and Mass Transfer
Chap. 12.2.2: Temperature Boundary Layers
For order of magnitude, we can assume a linear velocity profile U∞
δ
≈
Δu
δT
Δu ≈ U ∞ ⋅
δT δ
Velocity component v from continuity: ∂u ∂v + =0 ∂x ∂y
→
Δu Δv ≈ L δT
→
Prof. Nico Hotz
Δv ≈ U ∞ ⋅
δ T ⎛ δ T ⎞ ⋅ ⎜ ⎟ δ ⎝ L ⎠
16
ME 150 – Heat and Mass Transfer
Chap. 12.2.2: Temperature Boundary Layers
Energy equation for δT < δ (with orders of magnitude) ⎛ ⎞ ⎜ ⎟ ⎜ T − T TW − T∞ ⎟ δ T ⎞ ⎛ δ T ⎞ TW − T∞ ⎛ δ T ⎞ TW − T∞ ⎛ W ∞ U ∞ ⋅ ⎜ ⎟ ⋅ + ⎜U ∞ ⋅ ⎟ ⋅ ⎜ ⎟ ⋅ ≈ α ⋅ ⎜ + ⎟ 2 2 δ L L δ δ L δT ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎜ ⎟ T in ⎜ Conduction Conduction in ⎟ x − direction y − direction ⎠ ⎝
additional term An additional term appears in both inertial terms. Summary of all findings: - no effect of pressure - no y-momentum equation - no thermal diffusion in x-direction Prof. Nico Hotz
17
ME 150 – Heat and Mass Transfer
Chap. 12.2.2: Temperature Boundary Layers
Complete simplified equation system for boundary layer: ∂u ∂v + =0 ∂x ∂y
Continuity
∂u ∂u ∂2 u u⋅ +v⋅ =ν⋅ 2 ∂x ∂y ∂y
x − Momentum
∂T ∂T ∂2 T u⋅ +v⋅ =α ⋅ 2 ∂x ∂y ∂y
Energy
With boundary conditions: y = 0:
u (0) = v(0) = 0
T (0) = TW
y →∞:
u (∞ ) = U ∞
T (∞) = T∞
x=0
u = U∞
T = T∞ for all y
Prof. Nico Hotz
18
ME 150 – Heat and Mass Transfer
Chap. 12.2.3: Surface Friction
Surface friction from order of magnitude solution Momentum equation: ∂u ∂u ∂ 2u u⋅ +v⋅ = ν ⋅ 2 → ∂x ∂y ∂y
U ∞2 ⎛ δ ⎞ U U + ⎜U ∞ ⋅ ⎟ ⋅ ∞ ≈ ν ⋅ ∞2 L ⎝ L ⎠ δ δ
Factor 2 negligible: 2
U U 2 ⋅ ∞ ≈ ν ⋅ ∞2 L δ
→
U∞ 1 ≈ν⋅ 2 L δ
Solving for δ: ⎛ ν ⋅ L ⎞ ⎟⎟ δ ≈ ⎜⎜ ⎝ U ∞ ⎠
1 2
→
δ L
≈ (Re L )
−
1 2
Prof. Nico Hotz
with
Re L =
U∞ ⋅ L ρ ⋅U∞ ⋅ L = ν µ
19
ME 150 – Heat and Mass Transfer
Chap. 12.2.3: Surface Friction
Wall shear stress from velocity gradient: ⎛ ∂ u ⎞ τ W = µ ⋅ ⎜⎜ ⎟⎟ ⎝ ∂ y ⎠ y =0
→
U∞
1 U∞ τW ≈ µ ⋅ ≈ µ⋅ ⋅ (Re L )2 δ L 1 2
1 U ∞ ⎛ U ∞ ⋅ L ⎞ U ∞ ⋅ ρ 2 − ( ) ≈ µ⋅ ⋅ ⎜ ≈ ρ ⋅U ∞ ⋅ Re L 2 ⎟ ⋅ L ⎝ ν ⎠ U ∞ ⋅ ρ
2
−
τ W ≈ ρ ⋅ U ∞ ⋅ (Re L )
1 2
Friction coefficient: ρ
τ W ≈ c f ⋅ ⋅U ∞ 2
2
with
Prof. Nico Hotz
c f = 2 ⋅ (Re L )
−
1 2
20
ME 150 – Heat and Mass Transfer
Chap. 12.2.3: Surface Friction
Friction force = Wall shear stress integrated over the entire area L
F = ∫ τ W ⋅ W ⋅ dx 0
→
2
−
F ~ ρ ⋅ U ∞ ⋅ (Re L )
Prof. Nico Hotz
1 2
⋅W ⋅ L
21
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Heat Transfer from order of magnitude solution (δ << δT) Energy equation: ∂T ∂T ∂2 T u⋅ +v⋅ =α ⋅ 2 ∂x ∂y ∂y
→
U∞
(TW − T∞ ) + U L
∞
⋅
δT L
⋅
(TW − T∞ ) ≈ α ⋅ TW − T∞ δT 2
δT
Simplified and solved for δT/L: U∞ α ≈ 2 L δT
Prandtl Number Pr
⎛ α ⎞ ⎟⎟ ≈ ⎜⎜ L ⎝ U ∞ ⋅ L ⎠
δT
→
Pr =
ν
α
1
2
≈ Re
−1
2
⎛ α ⎞
1
2
⋅ ⎜ ⎟ ⎝ ν ⎠
Peclet Number Pe Pe = Re⋅ Pr
Prof. Nico Hotz
22
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Temperature boundary layer thickness for δ << δT δT −1 −1 −1 2 ≈ Pr ⋅ Re L 2 ≈ Pe 2 L Material property
Flow property
Precondition for δ << δT −1 δ ≈ Re L 2 L
Pr << 1
→
δT −1 ≈ Pr 2 >> 1 δ
True for low viscosity and/or high thermal conductivity, e.g.liquid metals, Hg: Pr < 0.03 at room temperature Prof. Nico Hotz
23
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Summary of dimensionless parameters:
U ∞ ⋅ L Inertial Forces = ν Viscous Forces
Reynolds Number
Re =
Prandtl Number
Pr =
Peclet Number
Pe = Re⋅ Pr =
ν
α
=
Momentum Diffusivity Thermal Diffusivity
Prof. Nico Hotz
U∞ ⋅ L
α
=
Mass Transfer Heat Transfer
24
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Calculation of convective heat transfer coefficient from Fourier‘s Law: ⎛ ∂ T ⎞ ⎟⎟ − k ⋅ ⎜⎜ qʹ′ʹ′ ⎝ ∂ y ⎠ y =0 h= = ΔT TW − T∞
k⋅ →
h≈
TW − T∞
δT
TW − T∞
≈
k
δT
Using the result for the temperature boundary layer: h ≈
1 1 k ⋅ Pr 2 ⋅ Re L 2 L
Nusselt Number Nu as basis for calculating h: Nu L ≡
1 1 h⋅ L ≈ Pr 2 ⋅ Re L 2 k
Prof. Nico Hotz
25
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Heat flux through a rectangular area (W = width, L = length) 1
1
q = L ⋅W ⋅ h ⋅ (TW − T∞ ) ≈ W ⋅ (TW − T∞ )⋅ k ⋅ Pr 2 ⋅ Re L 2
Note: Nusselt Number NuL leads to h averaged over 0 …. L: h !
Second case: δ >> δT: Energy equation (with ‘additional terms‘): ∂T ∂T ∂2 T u⋅ +v⋅ =α ⋅ 2 ∂x ∂y ∂y
→ U ∞⋅
T −T δ T (TW − T∞ ) δ δ (T − T∞ ) ⋅ + U ∞⋅ T ⋅ T ⋅ W ≈ α⋅ W 2 ∞ δ L δ L δT δT
Prof. Nico Hotz
26
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Energy equation simplified: U∞ ⋅
δT 1 ≈α⋅ 2 δ ⋅L δT
Leading to:
where
δ T3 3
L
δ ≈ L ⋅ (Re L −1
≈
α ⋅ Re L
)
2
L ⋅U ∞
≈
and results in:
δT −1 −1 ≈ Pr 3 ⋅ Re L 2 L
Range of validity:
− δT ≈ Pr 3 << 1 δ
1
Prof. Nico Hotz
−
1 2
α ν
−3
⋅ Re L
2
Pr > 1
27
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Summary for case 2: δ > δT Derivation analogously to case 1: δT L
≈ Pr
−1
3
⋅ Re L
−1
2
1 1 k h ≈ ⋅ Pr 3 ⋅ Re L 2 L 1 1 h⋅L 3 Nu ≡ ≈ Pr ⋅ Re L 2 k 1
1
q ≈ W ⋅ (TW − T∞ )⋅ k ⋅ Pr 3 ⋅ Re L 2
Difference between both cases:
δ < δT
∝ Pr
1 2
δ > δT
Prof. Nico Hotz
∝ Pr
1 3
28
ME 150 – Heat and Mass Transfer
Chap. 12.2.4: Convective Heat Transfer
Summary for velocity boundary layer (independent of δT) Thickness of velocity boundary layer Wall shear stress:
Friction coefficient:
Friction force:
δ L
−1
≈ Re L
2
τW ≈ ρ ⋅U ∞
cf ≈
2
−1 ⋅ Re L 2
−1 Re L 2
2
F ≈ ρ ⋅U ∞ ⋅W
Prof. Nico Hotz
−1 ⋅ L ⋅ Re L 2
29
ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
Laminar Boundary Layers: Solving the governing equations with three different methods: - Order of Magnitude Method (Approximation) - Approximate Integral Method - Exact Similarity Method
Prof. Nico Hotz
30
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Approximate Integral Method Principle Idea: - Consider boundary layer equations in integral form - Integration over height H > δ and δT - Approximation of profiles within the boundary layer
Results:
Velocity
- determine surface gradients more accurately,
Temperature
- determine h and τ more accurately
Prof. Nico Hotz
31
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Derivation of Approximate Integral Method Momentum equation: ∂u ∂u ∂2 u u⋅ +v⋅ =ν⋅ 2 ∂x ∂y ∂y
→
∂ 2 ∂ ∂2 u (u ) + (u ⋅ v) = ν ⋅ 2 ∂x ∂y ∂y
Equations are identical for incompressible fluids: ⎛ ∂ u ∂ v ⎞ ∂ 2 ∂ ∂u ∂u ∂v ∂u ∂u ⎟⎟ (u ) + (u ⋅ v) = 2u ⋅ +v⋅ +u⋅ = u⋅ +v⋅ + u ⋅ ⎜⎜ + ∂x ∂y ∂x ∂y ∂y ∂x ∂y ∂ x ∂ y ⎝⎠ =0 due to continuity
Similarly for energy equation: ∂T ∂T ∂2 T u⋅ +v⋅ =α ⋅ 2 ∂x ∂y ∂y
→
∂ ∂ ∂2 T (u ⋅ T ) + (v ⋅ T ) = α ⋅ 2 ∂x ∂y ∂y
Prof. Nico Hotz
32
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Integration over the boundary layer (H >> δ, δT) Momentum equation H
d ∂u y=H 2 ( ) u ⋅ dy + u ⋅ v = ν ⋅ y =0 d x ∫0 ∂y
Energy equation y=H
y =0
H
d ∂T y=H ( ) u ⋅ T ⋅ dy + v ⋅ T = α ⋅ y =0 d x ∫0 ∂y
y=H
y =0
Using known values at the boundary: H
Momentum equation
d u 2 ⋅ dy + U ∞ ⋅ v y = H ∫ dx0
⎧ ⎫ ⎪⎛ ⎛ ∂ u ⎞ ⎪⎪ ⎪ ∂ u ⎞ ⎟⎟ ⎟⎟ ⎬ − (u ⋅ v ) y = 0 = ν ⋅ ⎨⎜⎜ − ⎜⎜ ⎝ ∂ y ⎠ y = H ⎝ ∂ y ⎠ y = 0 ⎪ ⎪ =0 ⎪⎩ ⎪⎭ =0
⎧ ⎫ ⎪⎛ H ⎛ ∂ T ⎞ ⎪⎪ d ⎪ ∂ T ⎞ Energy equation ⎟⎟ ⎟⎟ ⎬ u ⋅ T ⋅ dy + v y = H ⋅ T∞ − v y = 0 ⋅ TW = α ⋅ ⎨⎜⎜ − ⎜⎜ ∫ dx0 ⎝ ∂ y ⎠ y = 0 ⎪ ⎪⎝∂y⎠ y=H =0 ⎪⎩ ⎪⎭ =0 Prof. Nico Hotz
33
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Leading to simplified equations: Momentum equation
Energy equation
H ⎛ ∂ u ⎞ d 2 ⎜⎜ ⎟⎟ u ⋅ dy + U ⋅ v = − ν ⋅ ∞ ∫ y=H dx 0 ⎝ ∂ y ⎠ y = 0
next step: determining v
H ⎛ ∂ T ⎞ d ⎜⎜ ⎟⎟ u ⋅ T ⋅ dy + T ⋅ v = − α ⋅ ∞ ∫ y=H dx 0 ⎝ ∂ y ⎠ y = 0
y=H
using continuity: ∂u ∂v + =0 ∂x ∂y
∂v ∂u =− ∂y ∂x
→
and integrating over boundary layer: H
H
H
d du dv − ∫ u ⋅ dy = − ∫ ⋅ dy = ∫ ⋅ dy = v y = H − v y =0 dx 0 dx dy 0 0 =0
Prof. Nico Hotz
34
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Combining integrals:
M E
H H H ⎛ ∂ u ⎞ d d d 2 ⎜⎜ ⎟⎟ u ⋅ dy − U ⋅ u ⋅ dy = u ⋅ ( u − U ) ⋅ dy = − ν ⋅ ∞ ∞ ∫ ∫ ∫ dx 0 dx 0 dx 0 ⎝ ∂ y ⎠ y = 0 H H H ⎛ ∂ T ⎞ d d d ⎜⎜ ⎟⎟ u ⋅ T ⋅ dy − T ⋅ u ⋅ dy = u ⋅ ( T − T ) ⋅ dy = − α ⋅ ∞ ∞ dx ∫0 dx ∫0 dx ∫0 ∂ y ⎝ ⎠ y = 0
Dividing into two parts: inside + outside of boundary layer H
M
∫ u ⋅ (u −U
δ ∞
0
H
) ⋅ dy = ∫ u ⋅ (u − U ∞ ) ⋅ dy + ∫ u ⋅ (u − U ∞ ) ⋅ dy 0 δ = 0 , since u (δ ) = u ( H ) =U ∞
H
E
δT
∫ u ⋅ (T − T
∞
0
H
) ⋅ dy = ∫ u ⋅ (T − T∞ ) ⋅ dy + ∫ u ⋅ (T − T∞ ) ⋅ dy 0
δT = 0 , since T (δ T ) = T ( H ) = T∞
Prof. Nico Hotz
35
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Boundary Layer Equations in Integral Form δ ⎛ ∂u ⎞ d u ⋅ (u − U ∞ ) ⋅ dy = −ν ⋅ ⎜⎜ ⎟⎟ ∫ dx 0 ⎝ ∂y ⎠ y = 0 δ
⎛ ∂T ⎞ d T α ⎟⎟ u ⋅ (T − T∞ ) ⋅ dy = − a ⋅ ⎜⎜ ∫ dx 0 ⎝ ∂y ⎠ y = 0
Variables of interest
Integral equations are exact, valid as the differential equations Still unknown: u(y), T(y)
Prof. Nico Hotz
36
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Assumption of linear profiles inside the boundary layer u( y) ⎛ y ⎞ = A1 ⋅ ⎜ ⎟ + A2 U∞ ⎝ δ ⎠ T
Boundary conditions to determine constants Ai, Bi Leading to:
⎛ y T ( y) − Tw = B1 ⋅ ⎜⎜ T∞ − Tw ⎝ δ T
y <δ
⎞ ⎟⎟ + B2 ⎠
y = 0:
u (0) = 0
y =δ :
u (δ ) = U ∞
y = δT :
T (δ T ) = T∞
A2 = 0
A1 = 1
B2 = 0
B1 = 1
Prof. Nico Hotz
y < δT
T (0) = TW
37
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Momentum equation: Using assumed linear profile δ
U∞ d y ⎛ y ⎞ U ⋅ ⋅ U − U ⋅ dy = − ν ⋅ ⎜ ⎟ ∞ ∞ dx ∫0 δ ⎝ ∞ δ δ ⎠
Dividing by
U∞2,
substituting with new variable: ζ =
y
δ
⎧ ⎫ ⎪ 1 ⎪ d ⎪ ν ⎪ ( ) δ ζ ⋅ ζ − 1 ⋅ d ζ = − ⎨ ⎬ dx ⎪ ∫0 U ∞δ ⎪ ⎪⎩ ⎪⎭ =− 1 6
Integration over x: dδ 6 ⋅ ν δ⋅ = dx U ∞
→
6⋅ν δ ⋅ dδ = ⋅ dx U∞
Prof. Nico Hotz
→
δ (x )2 2
=
6⋅ν ⋅x U∞
38
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Result: δ = f( x ) δ=
12 ⋅ ν ⋅ x U∞
with Re x =
x ⋅U ∞
ν
:
δ x
=
12 −1 = 3.464 ⋅ Re x 2 Re x
Wall shear stress: ⎛ du ⎞ U∞ ρ ⋅ U ∞2 τ w = µ ⋅ ⎜⎜ ⎟⎟ = µ ⋅ = δ (12 ⋅ Re x )1 2 ⎝ dy ⎠ y =0
Wall shear stress coefficient: cf =
τw 1 ⋅ ρ ⋅U ∞ 2 2
= 0.577 ⋅ Re x −1 2
Prof. Nico Hotz
39
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Energy equation: Using assumed linear profiles δ
⎞ T∞ − Tw d T y ⎛ y ⎜ ⎟ [ ] [ ] U ⋅ ⋅ T − T ⋅ − T − T ⋅ dy = − α ⋅ ∞ ∞ w ∞ w ⎟ dx ∫0 δ ⎜⎝ δT δT ⎠
Dividing by U∞.(T∞ -TW), using new variable: ζ T =
y
δT
⎧ ⎫ ⎪ 2 1 ⎪ d ⎪δ T α ⎪ ζ T ⋅(ζ T − 1)⋅ dζ T ⎬ = − ⎨ ∫ dx ⎪ δ 0 U ∞ ⋅ δT ⎪ ⎪⎩ ⎪⎭ =− 1 6
Prof. Nico Hotz
40
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Integration over x: Assumption: δT/δ = constant d ⎛ δ δ T ⎜⎜ T dx ⎝ δ
2
⎞ ⎛ δ T ⎞ d δ 1 d 2 6 ⋅α ⎟ = ⎜ ⎟ ⋅ δ T ⋅ (δ T ) = ⎛⎜ T ⎞⎟ ⋅ ⋅ δ = T ⎟ ⎝ δ ⎠ dx U∞ ⎝ δ ⎠ 2 dx ⎠ δ T 2 12 ⋅ α ⋅ x → ⋅δ T = δ U∞
( )
Using earlier result for δ: δ T3 12 ⋅ a ⋅ x 1 a = ⋅ = δ3 U∞ δ2 ν 1
→
−1 ⎛ δ T ⎞ ⎜ ⎟ = Pr 3 ⎝ δ ⎠
Pr
Result for δT : δT −1 −1 δ −1 3 2 = ⋅ Pr = 3.464 ⋅ Re x ⋅ Pr 3 x x Prof. Nico Hotz
41
ME 150 – Heat and Mass Transfer
Chap. 12.2.5: Approximate Integral Method
Heat flux from Fourier‘s Law: qWʹ′ʹ′ = − k ⋅
Using solution of δT :
dT dy
= −k⋅
TW − T∞
δT
y =0
1 1 k 2 qʹ′wʹ′ = ⋅ 0.289 ⋅ Re x ⋅ Pr 3 ⋅ (Tw − T∞ ) x
Calculating convective heat transfer coefficient: q ʹ′wʹ′ = h ⋅ (Tw − T∞ )
h=
→
1 1 q ʹ′wʹ′ k = ⋅ 0.289 ⋅ Re x 2 ⋅ Pr 3 Tw − T∞ x
Dimensionless local Nusselt number Nu(x): Nu =
α ⋅x k
1
= 0.289 ⋅ Re x ⋅ Pr 2
Prof. Nico Hotz
1
3
42
ME 150 – Heat and Mass Transfer
Chap. 12.2: Laminar Boundary Layers
Laminar Boundary Layers: Solving the governing equations with three different methods: - Order of Magnitude Method (Approximation) - Approximate Integral Method - Exact Similarity Method
Prof. Nico Hotz
43
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Exakt Solution using Similarity Solution (according to Blasius)
Governing equations:
∂u ∂v + =0 ∂x ∂y
Continuity
∂u ∂u ∂2 u u⋅ +v⋅ =ν⋅ 2 ∂x ∂y ∂y
x − Momentum
∂T ∂T ∂2 T u⋅ +v⋅ =α ⋅ 2 ∂x ∂y ∂y
Energy
Analytical solution exists for potential flows, i.e. a potential function Ψ exists with: u=
∂ψ ∂y
Prof. Nico Hotz
v=−
∂ψ ∂x
44
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Similarity variable to transform governing equations to ODEs: 1 U∞ y η = y⋅ = ⋅ Re x 2 ν⋅x x
with Re x =
x ⋅U ∞ ν
Instead of potential function, we use a function f(η): u = U ∞
u=
Correlation to potential function Ψ:
df dη
∂ Ψ ∂ Ψ ∂η ∂f = ⋅ = U∞ ∂y ∂η ∂ y ∂η
∂η ⋅ Ψ = U ∞ ⋅ f (η ) ∂y f (η ) =
Prof. Nico Hotz
1 ⋅Ψ U∞ ⋅ν ⋅ x
45
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Calculation of v from the definition of potential flow: ∂Ψ ∂ v=− =− ∂x ∂x
(
⎛ ⎞ ∂ f (η ) 1 U ∞ ⋅ ν ⎜ U ∞ ⋅ ν ⋅ x ⋅ f (η ) = − ⎜ U ∞ ⋅ ν ⋅ x ⋅ + ⋅ f (η ) ⎟⎟ ∂x 2 x ⎝ ⎠
)
Derivations: ∂ f (η ) ∂ f (η ) ∂η = ⋅ ∂x ∂η ∂ x
∂η y U∞ η =− =− ∂x 2⋅ x ν ⋅ x 2⋅ x
v as a function of f(η) and η: v=
1 ν ⋅U ∞ 2 x
⎛ ∂ f (η ) ⎞ ⋅ ⎜⎜η ⋅ − f (η )⎟⎟ ∂η ⎝ ⎠
Prof. Nico Hotz
46
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Derivations of u necessary for momentum equation: ∂u U∞ ∂2 f =− ⋅η ⋅ 2 ∂x 2⋅ x ∂η
df u = U∞ dη
∂u U∞ ∂2 f = U∞ ⋅ ⋅ ∂y ν ⋅ x ∂η 2 U ∞2 ∂ 3 f ∂ 2u = ⋅ 3 2 ∂y ν ⋅ x ∂η
Momentum equation with similarity variable: ODE
∂3 f ∂2 f 2⋅ 3 + f ⋅ 2 = 0 ∂η ∂η
Prof. Nico Hotz
47
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Boundary conditions for similarity variable: y = 0:
η∝ y
y →∞
η=0 η →∞
Boundary conditions for u: u( x,0) = v( x,0) = 0
u( x, ∞) = U ∞
Boundary conditions for potential function f(η) : u U∞
= y =0
df =0 dη η =0
Prof. Nico Hotz
u U∞
= y =∞
df =1 dη η =∞
48
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Numerical solution (using series expansion or numerical integration) u η=y ∞ νx 0 0.4 0.8 1.2 1.6 2.0 2.4 2.8 3.2 3.6 4.0 4.4 4.8 5.2 5.6 6.0 6.4 6.8
4.92
f
df u = dη u∞
d2 f dη 2
0 0.027 0.106 0.238 0.420 0.650 0.922 1.231 1.569 1.930 2.306 2.692 3.085 3.482 3.880 4.280 4.679 5.079
0 0.133 0.265 0.394 0.517 0.630 0.729 0.812 0.876 0.923 0.956 0.976 0.988 0.994 0.997 0.999 1.000 1.000
0.332 0.331 0.327 0.317 0.297 0.267 0.228 0.184 0.139 0.098 0.064 0.039 0.022 0.011 0.005 0.002 0.001 0.000
Prof. Nico Hotz
0.99
See later!
49
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Determining boundary layer thickness δ: u df = = 0.99 U∞ dη
→
η99 = 4.92 =
δ x
6 η = 4.92
U∞
= 0.99
1
⋅ Re x 2
4
y x
1
η = ⋅ Re x 2
Back in x – coordinates: δ = 4.92 ⋅
u
−1 x ⋅ Re x 2
2
δ Compared with ≈ Re −L1 2 L ‘Order of Magnitude‘ and δ −1 ‘Integral‘ = 3.464 ⋅ Re x 2 x Solutions: Prof. Nico Hotz
0 0.5
0
u
1.0
df = U ∞ dη
50
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Wall shear stress coefficient: local value ⎛ ∂ u ⎞ ⎟⎟ ν ⋅ ρ ⋅ ⎜⎜ ⎝ ∂ y ⎠ y =0 2 ⋅ ν U ∞ ⎛ d 2 f ⎞ −1 ⎜ ⎟ c fx = = ⋅ ⋅ ⎜ 2 ⎟ = 0.664 ⋅ Re x 2 1 U∞ ν ⋅ x ⎝ dη ⎠η =0 ρ ⋅U ∞2 2 = 0.332 from table
Average over entire length L: L
L
1 1 ν −1 c fL = ⋅ ∫ c fx ⋅ dx = 0.664 ⋅ ⋅ ∫ ⋅ dx = 1.328 ⋅ Re L 2 L 0 L 0 U∞ ⋅ x
Total force on surface: FW = c fL ⋅
ρ 2
⋅ U ∞2 ⋅ W ⋅ L = τ L ⋅ W ⋅ L
Prof. Nico Hotz
51
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Temperature boundary layer Definition excess temperature: Equation to be solved (numerically): Boundary conditions:
θ= d 2θ dη 2
T − TW T∞ − TW +
Pr =
ν a
Pr dθ ⋅f⋅ = 0 2 dη
η = 0: θ = 0 η → ∞: θ = 1
Results (without derivation): 12
1 ⎛ dθ ⎞ ⎛ dθ ⎞ qWʹ′ʹ′ k ⎛ U ∞ ⎞ ⎛ dθ ⎞ ⎟⎟ = ⋅ Re x 2 ⋅ ⎜⎜ ⎟⎟ h= = k ⋅ ⎜⎜ ⎟⎟ = k ⋅ ⎜ ⎟ ⋅ ⎜⎜ TW − T∞ dy ν ⋅ x d η x d η ⎝ ⎠ ⎝ ⎠η =0 ⎝ ⎠η =0 ⎝ ⎠ y =0
Prof. Nico Hotz
52
ME 150 – Heat and Mass Transfer
Results from numerical solution:
Chap. 12.2.6: Exact Solution
For Pr ≥ 0.6 :
⎛ dθ ⎞ ⎜⎜ ⎟⎟ = 0.332 ⋅ Pr1 3 ⎝ dη ⎠η =0
Local h:
1 k h = ⋅ Re x 2 ⋅ 0.332 ⋅ Pr 1 3 x
Pr ≥ 0.6
Nusselt number:
1 1 h⋅ x 2 Nu x = = 0.332 ⋅ Re x ⋅ Pr 3 k
Pr ≥ 0.6
Averaged over the range x = 0 ….. L L
L
12
1 1 ⎛ U ⎞ h = ⋅ ∫ h( x) ⋅ dx = ⋅ ∫ k ⋅ ⎜ ∞ ⎟ ⋅ 0.332 ⋅ Pr 1 3 ⋅ dx = 2 ⋅ h( L) L 0 L 0 ⎝ ν ⋅ x ⎠
Prof. Nico Hotz
Pr ≥ 0.6
53
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Nusselt number averaged over range x = 0 …. L Nu =
h ⋅L = 2 ⋅ Nu L = 0.664 ⋅ Re1L 2 ⋅ Pr1 3 k
Pr ≥ 0.6
Compared with ‘Order of Magnitude‘ and ‘Integral‘ Solutions: Nu ≈ Re1L 2 ⋅ Pr 1 3
1
Nu x = 0.289 ⋅ Re x 2 ⋅ Pr
1
3
Numerical solution for small Prandtl numbers: Nu x = 0.565 ⋅ (Re x ⋅ Pr)
1
2
Nu = 2 ⋅ Nu L
Prof. Nico Hotz
Pr ≤ 0.6
54
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Semi-empirical solution (curve fitting) for any Prandtl number (Churchill and Ozoe 1973): 1
Pe x = Re x ⋅ Pr > 100 : →
Nu x =
0.3387 ⋅ Re x ⋅ Pr
(
2
⎡ 0.0468 ⎢⎣1 + Pr
2
)
3
1
⎤ ⎥⎦
3 1
4
Averaged values: 1
h( x ) ≈
Re x 2 x
≈ x
−1
2
→ h = 2 ⋅ h( L )
Prof. Nico Hotz
Nu = 2 ⋅ Nu L
55
ME 150 – Heat and Mass Transfer
Chap. 12.2.6: Exact Solution
Summary Results: Exact solution δ
Boundary layer thickness:
x
Friction coefficient:
Heat transfer
c fx =
= 4.92 ⋅ Re
−1 2 x
−1 0.664 ⋅ Re x 2
1 δ = Pr 3 δT
−1 c f x = 1.328 ⋅ Re x 2
Pr > 0.6
Nu x =
1 1 h⋅ x = 0.332 ⋅ Re x 2 ⋅ Pr 3 k
Pr < 0.6
Nu x =
1 h⋅ x = 0.565 ⋅ (Re x ⋅ Pr) 2 k
1
Pe x = Re x ⋅ Pr > 100
Prof. Nico Hotz
Nu =
0.3387 ⋅ Re x
(
1 2 ⋅ Pr 3
⎡ 0.0468 ⎢1 + Pr ⎣
2
)
3 ⎤
1
4
⎥ ⎦ 56
ME 150 â&#x20AC;&#x201C; Heat and Mass Transfer
Prof. Nico Hotz
57