Exact Solutions - Aerodynamics - Lecture Notes, Study notes of Engineering Dynamics

These are the Lecture Notes of Aerodynamics which includes General Point, Biot Savart Law, Velocity, Freestream Velocity, Airfoil Section, Downwash, Aircraft Wings, Yielding Higher, Slightly Less etc. Key important points are: Exact Solutions, Incompressible Boundary Layer Equations, Exact Solution, Description, Numerically Solved, Numerical Solution, Velocity Distribution, Description of Velocity, Airfoil Surface, Stagnation Point

Typology: Study notes

2012/2013

Uploaded on 03/24/2013

dhyanesh
dhyanesh 🇮🇳

4

(21)

191 documents

1 / 4

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
X. Exact Solutions of the Incompressible Boundary Layer Equations
In this chapter, we seek exact solutions to 2-D, steady, incompressible boundary layer equations,
given by
u
x+
v
y=0
uu
x+vu
y+1
ρ
dp
dx = ν 2u
y2
(1)
Here ν is the kinematic viscosity and equals µ/ρ . Observe that we are using dp/dx, rather than
p/x to denote the pressure gradient. This is because p/y = 0 across the boundary layer.
The description "exact solution" is a somewhat rough description of what we are about to do. We
will attempt to reduce the above system of PDEs into a single ODE, which may be numerically solved.
This was the preferred approach during the first half of the 20th century, when digital computers were not
available. Today, it is possible to solve the above system of PDEs on a PC class machine. (A typical
numerical solution of the PDE requires about 5 minutes from airfoil nose to trailing edge).
We seek exact solution for the class of flows, where the edge velocity distribution ue(x) may be
described as
u
e
x( ) =Ax
m
(2)
Many potential flows obey the above description of velocity. For example, for the potential flow
over a flat plate we can set the exponent m to be zero, giving ue = A, a constant. In the vicinity of the
stagnation point at the nose of an airfoil, potential flow theory states that ue linearly increases with x
giving m= 1; here x is the distance along the airfoil surface measured from the front stagnation point.
Flows within 2-D convergent and divergent channels may also be described using the above description.
u=A
Flow over a Flat Plate
m = 0
u=Ax
ue(x)
x
Flow near the front
stagnation point
m=1
The flow over a flat plate was analyzed by Blasius, one of Prandtl's students in 1908, shortly after
the boundary layer equations were developed. The stagnation point flow was studied by Hiemenz in
1911. For the more general case where m is not known a priori, exact solutions (i.e. ODEs which must be
subsequently solved numerically) were developed by Falkner and Skan in 1931.
Solution of Blasius Flow:
Since the Blasius problem (m=0) is a little easier to analyze than the more general Falkner-Skan
flow, we study this problem first.
Docsity.com
pf3
pf4

Partial preview of the text

Download Exact Solutions - Aerodynamics - Lecture Notes and more Study notes Engineering Dynamics in PDF only on Docsity!

X. Exact Solutions of the Incompressible Boundary Layer Equations In this chapter, we seek exact solutions to 2-D, steady, incompressible boundary layer equations, given by

∂u ∂x +

∂v ∂y =^0 u ∂ ∂ux + v ∂ ∂uy + (^1) ρ^ dpdx = ν ∂

(^2) u ∂y 2 (1) Here ν is the kinematic viscosity and equals μ/ρ. Observe that we are using dp/dx, rather than ∂p/∂x to denote the pressure gradient. This is because ∂p/∂y = 0 across the boundary layer.

The description "exact solution" is a somewhat rough description of what we are about to do. We will attempt to reduce the above system of PDEs into a single ODE, which may be numerically solved. This was the preferred approach during the first half of the 20th century, when digital computers were not available. Today, it is possible to solve the above system of PDEs on a PC class machine. (A typical numerical solution of the PDE requires about 5 minutes from airfoil nose to trailing edge).

We seek exact solution for the class of flows, where the edge velocity distribution u (^) e(x) may be described as

u e ( )x = Ax m

(2) Many potential flows obey the above description of velocity. For example, for the potential flow over a flat plate we can set the exponent m to be zero, giving u (^) e = A, a constant. In the vicinity of the stagnation point at the nose of an airfoil, potential flow theory states that u (^) e linearly increases with x giving m= 1; here x is the distance along the airfoil surface measured from the front stagnation point. Flows within 2-D convergent and divergent channels may also be described using the above description.

u=A

Flow over a Flat Plate m = 0

u=Ax

ue(x)

x

Flow near the front stagnation point m=

The flow over a flat plate was analyzed by Blasius, one of Prandtl's students in 1908, shortly after the boundary layer equations were developed. The stagnation point flow was studied by Hiemenz in

  1. For the more general case where m is not known a priori, exact solutions (i.e. ODEs which must be subsequently solved numerically) were developed by Falkner and Skan in 1931.

Solution of Blasius Flow:

Since the Blasius problem (m=0) is a little easier to analyze than the more general Falkner-Skan flow, we study this problem first.

Our starting point is to choose the stream function ψ(x,y) as the primary unknown, rather than the primitive variables u and v. This reduces the unknowns from 2 to 1. Using ψ also means continuity is automatically satisfied.

u = ∂ψ ∂y

v = − ∂ψ ∂x ∂u ∂x

  • ∂v ∂y

(^2) ψ ∂x∂y

(^2) ψ ∂x∂y

(3) The next step is to assume a functional form for ψ. This form will have two parts: a dimensional part, with the dimensions of ψ; and a nondimensional part. From the derivation of boundary layer equations, we expect that the square root of kinematic viscosity ν must appear in this form, because several quantities such as boundary layer thickness δ and the v- component of velocity vary as the square root of Reynolds number. We therefore assume

ψ (x,y ) = F 1 (x,u (^) ∞ , ν)• f x,y,u( (^) ∞ , ν) Dimensional Nondimensional Part Part (4) We keep the first part F as simple as possible, pushing all the complexity into the second function f. Guided by dimensional analysis, Blasius chose F 1 to be νu∞x. (Check that this quantity has the dimensions of ψ).

The second part f is nondimensional. We group its arguments (x,y,u and ν) into nondimensional forms. Since we are seeking ODEs, it is desirable that the function f has only one independent variable. Blasius defined an independent variable η as follows:

η = 1 2

u∞ νx

⋅ y (5) With this variable, the stream function ψ(x,y,ν) takes the form:

ψ (x,y, ν) = νu∞ x ⋅ f ( )η (6)

We can express ∂u/∂x, ∂u/∂y and the higher derivatives from (6) as follows:

Equation (9) requires three boundary conditions. At the solid surface (y=0, thus η=0) we require u=v=0. At boundary layer edge (large η), we require u = u (^) e. Then, the appropriate boundary conditions for equation (9) are:

η = 0: f = fη = 0 η → ∞: f (^) η = 2 (10) Do not be alarmed by the appearance of the symbol in equation (10). It is just a figurative way of saying that at the boundary layer edge, we are far away from the solid surface.

Equation (9), known as the Blasius equation, may be solved on PC class computers using an iterative process to be described.

Falkner-Skan Solution

Falkner and Skan generalized the special case that Blasius considered (m=0) and the stagnation point solution that Hiemenz considered (m=1) to a more general class of edge velocity distributions. Their approach is quite similar to what Blasius did. The similarity transformations they used are:

ψ (x,y ) = F 1 (x,u (^) e ,m, ν)• f x, y,u( (^) e ,m, ν) Dimensional Nondimensional Part Part (10) Or,

η = m^ +^1 2

⋅ ue νx

⋅y (11) and

ψ (x,y, ν) = 2 m + 1

⋅ νu (^) e x ⋅ f ( )η (12) when this transformation was used in the boundary layer equations, the following ODE resulted. f (^) ηηη + ff (^) ηη + 2m m + 1 (^1 −^ f^ η^2 ) =^0 (13) The above equation may be solved using a procedure identical to that used for the Blasius equation, discussed in detail later.