Potential function of a flow around a stagnation point

  • #1
happyparticle
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21
Homework Statement
Find the potential function around a stagnation point for a perfect incompressible fluid.

Far from the stagnation point at x = 0 (##y = y_0 >> 1##), the vertical velocity is ##u_0 \hat{y}##
Relevant Equations
Laplace equation ##\Delta \phi = 0##
To find the potential function, I'm starting with the laplace equation ##\Delta \phi = 0 ##
In cartesian coordinates the solution is ##\phi = \sum_m (A_m e^{mx} + B_m e^{-mx}) (C_m sin(my) + D_m cos (my))##

Using the first boundary condition.
## u = \Delta \phi = -u_0 \hat{y}##

The gradient in cartesian coordinates
##\nabla \phi = \frac{\partial \phi}{ \partial x} \hat{x} + \frac{\partial \phi}{ \partial y} \hat{y}##

Thus, ##\frac{\partial \phi}{ \partial x} \hat{x} + \frac{\partial \phi}{ \partial y} \hat{y} = - u_0 \hat{y}##
This mean that ##\frac{\partial \phi}{ \partial x} = 0 , \frac{\partial \phi}{ \partial y} = - u_0##

The solution is ##\phi = -u_0 y_0##

So, far from the stagnation point ##\phi = \sum_m (A_m e^{mx} + B_m e^{-mx}) (C_m sin(my) + D_m cos (my)) = - u_0 y_0##

Thus, m must be 0, and the potential function becomes
##\phi = (A+B) D##

So far I'm stuck here. It feels wrong. There is no dependencies on x and y. Also, I cannot use a second boundary condition since I only have constants.

Here is a scheme of the problem.
RduVy.gif
 
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  • #2
Your sketch suggests thast [itex]y = 0[/itex] is a boundary of the domain. If it is, then you have the condition that [itex]\frac{\partial \phi}{\partial y}[/itex] vanishes there. It is also unclear to me whether the boundary condition as [itex]y \to \infty[/itex] applies only at [itex]x = 0[/itex] or applies everywhere. If the latter, then you could work in the inertial frame in which the fluid is stationary at infinity and has velocity [itex]u_0 \hat{y}[/itex] at the origin.

Your general solution is not appropriate here: the domain is not a finite rectangle at the edge of which you could impose a boundary condition to ontain a discrete set of eigenvalues. It also omits some solutions, such as [itex]Ax + By + Cxy + D(x^2 - y^2)[/itex].
 
  • #3
pasmith said:
Your general solution is not appropriate here: the domain is not a finite rectangle at the edge of which you could impose a boundary condition to ontain a discrete set of eigenvalues. It also omits some solutions,
Ah, I didn't see that. Perhaps it will be better to use the polar coordinates.
 
  • #4
pasmith said:
It is also unclear to me whether the boundary condition as y→∞ applies only at x=0 or applies everywhere.
It applies only at x=0.

According to wikipedia, the solution should be something like ##2K(x^2 - y^2)##.
 
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  • #5
@pasmith
I couldn't just find the solution of the Laplace's equation using the separation of variables' method?

$$\phi(x,y) = X(x)Y(y)$$

Hence,

$$\frac{\partial^2 X(x)}{X(x)\partial x^2} = C$$

$$\frac{\partial^2 Y(y)}{Y(y)\partial y^2} = -C$$
 
  • #6
How do you determine [itex]C[/itex]? And is [itex]x^2 - y^2[/itex] of that form?

The problem here is that near the origin the Taylor Series of [itex]\phi[/itex] must be of the form [tex]Axy + B(x^2 - y^2) + O(r^3) = r^2(A \sin 2\theta + B\cos 2\theta) + O(r^3)[/tex] but a finite velocity at infinity requires [itex]\phi \sim r\cos \theta.[/itex] There does not appear to be a good way to match these.
 
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  • #7
Is it possible to find the potential function solving the Laplace's equation?

I don't know other method than that.

I thought I could just solve the Laplace's equation with a separation of variables and then using the boundary conditions.

Maybe there is something I didn't see.
The left image is essentially what I'm trying to solve. However, here they already give the stream function.

2Faa9043ae-9e61-478f-b132-a9be1966ed3a%2Fphp6ZF5Fh.png
 
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  • #8
After some time, I'm allowing myself to ask again, since I'm still looking for the solution of this problem.

Most of the explanations I found gives directly the components of the velocity without explaining how they get it or even if this is possible by using the Laplace's equation and the separation of variables method.

The following image is exactly what I'm looking for. However I still have no idea how to get the velocity components.

phpyLgBbH.jpg
 
  • #9
happyparticle said:
However I still have no idea how to get the velocity components.
Are you asking about solving problem #1 as posted? The problem explicitly states that ##x\text{-velocity}=u=Ax## and ##y\text{-velocity}=v=-Ay##.
 
  • #10
@renormalize I posted the image as reference. Sorry for the confusion. Basically, I'm trying to find how to get the velocity in post #8 using the Laplace's equation. This is basically my question in post #1.
 
  • #11
happyparticle said:
Basically, I'm trying to find how to get the velocity in post #8 using the Laplace's equation. This is basically my question in post #1.
So you want to solve ##\nabla^2 \phi\left(x,y\right)=0## and get the velocity field ##\vec{u}=\nabla \phi##? Don't insist on a multiplicative separation of variables; instead, consider the additive separation ##\phi\left(x,y\right)\equiv\frac{1}{2}\left(Ax^2+By^2\right)## and insert this into Laplace's equation. What relation do you get between ##A,B\,##? And what do you get for the velocity field ##\vec{u}\,##?
 
  • #12
@renormalize By using ##\phi\left(x,y\right)\equiv\frac{1}{2}\left(Ax^2+By^2\right)## I can get the answer that I'm looking for. However, I don't know where this come from. For instance, ##\vec{u}## was given in post #8, which is equivalent to giving ##\phi##, but I don't see how to get it.
 
  • #13
happyparticle said:
but I don't see how to get it.
  1. Assume an additive (not multiplicative) separation-of-variables for the velocity-potential: ##\phi\left(x,y\right)=f\left(x\right)+g\left(y\right)\,##.
  2. Substitute ##\phi## into Laplace's equation: ##0=\nabla^{2}\phi\left(x,y\right)=f^{\prime\prime}\left(x\right)+g^{\prime\prime}\left(y\right)\,##.
  3. Integrate twice to find: ##\phi\left(x,y\right)=c_{1}+c_{2}\,x+c_{3}\,y+c_{4}\left(x^{2}-y^{2}\right)\,##.
  4. Choose the arbitrary integration constants so as to satisfy the required boundary conditions.
  5. And you're done.
 
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  • #14
How did you know that we had to use the additive separation?

Related to the question above. When using the polar coordinates and multiplication separation of variables, I get the general solution ##\phi(r, \theta) = (Ar^k + Br^{-k}) (C cos(k \theta) + D sin(k \theta))##

Because ##\phi \rightarrow \infty## at ##r \rightarrow 0##, B must be 0.

Also,
at ##x = 0 , y \gg1## which means ##\phi = \pi/2## and ##r \gg 1##, ##\vec{u} = - u_0 \hat{y} = -u_0 (sin \theta \hat{r} + cos \theta \hat{\theta})##

Thus, ##\vec{u}(r \gg1 , \pi/2) = \nabla \phi = - u_0 \hat{y} = -u_0 (sin \theta \hat{r} + cos \theta \hat{\theta})##. Which mean that ##\phi = - u_0 r sin \theta = -u_0 r##

To get this result at ##r \gg 1## and ##\theta = \pi/2## from the general solution.
##k = 1## and ##A \cdot D = - u_0##

Finally, ##\vec{u} \cdot \hat{n} = \nabla \phi \cdot \hat{n} = 0 ## at ##\theta = 0##

Which give ##A \cdot C = 0##

The solution is then:

##\phi(r,\theta) = -u_0 r sin(\theta)## which is not the same as ##
\phi\left(x,y\right)\equiv\frac{1}{2}\left(Ax^2+By^2\right)
##
Which is the right answer.

Yet, the boundary conditions seems to work.
 
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  • #15
happyparticle said:
How did you know that we had to use the additive separation?
Just like multiplicative-separation, the possibility of additive separation-of-variables is something you should always check for when solving PDEs. See, e.g., section 1.1 of this reference: https://www.reed.edu/physics/courses/P342.S10/Physics342/page1/files/Lecture.1.pdf.
happyparticle said:
When using the polar coordinates and multiplication separation of variables, I get the general solution ##\phi(r, \theta) = (Ar^k + Br^{-k}) (C cos(k \theta) + D sin(k \theta))##
Note that for your solution ##B=0,k=1## we have ##\phi\left(r,\theta\right)=A\,r\left(C\text{cos}\theta+D\text{sin}\theta\right)=AC\,x+AD\,y## so that ##\vec{u}\equiv\nabla\phi=\frac{\partial\phi}{\partial x}\hat{i}+\frac{\partial\phi}{\partial y}\hat{j}=AC\,\hat{i}+AD\,\hat{j}\,##. Thus, ##\vec{u}## is an everywhere constant vector and can't possibly satisfy the required boundary conditions at both ##y=0## and ##y\rightarrow\infty##.
 
  • #16
Thank you for the link. To be honest, I had never used the additive separation of variables.

I thought it would be possible to find the potential function using the polar coordinates. I have a few problem to solve with different walls (surfaces), like a flow inside a sharp corner of angle ##\beta## and I thought I could transpose the technic using in this problem to different cases.
 
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  • #17
happyparticle said:
I thought it would be possible to find the potential function using the polar coordinates.
It is indeed possible to use multiplicative separation-of-variables in polar coordinates to get the same answer as in cartesian coordinates. Start from your polar solution to Laplace's equation ##\left(ar^{n}+br^{-n}\right)\left(c\cos n\theta+d\sin n\theta\right)##. Because you want a solution that's finite at the origin, we drop the ##r^{-n}## term and then define the velocity potential ##\phi_{012}## that is the superposition of the three solutions with ##n=0,1,2\,##:$$\phi_{012}\left(r,\theta\right)=c_{1}+r\left(c_{2}\cos\theta+c_{3}\sin\theta\right)+r^{2}\left(c_{4}\cos2\theta+c_{5}\sin2\theta\right)\tag{1}$$Now change from polar-coordinates ##\left(r,\theta\right)## to cartesian-coordinates ##\left(x,y\right)## via ##r=\sqrt{x^{2}+y^{2}}\,,\theta=\tan^{-1}\left(\frac{y}{x}\right)## to find:$$\phi_{012}\left(x,y\right)=c_{1}+c_{2}\,x+c_{3}\,y+c_{4}\left(x^{2}-y^{2}\right)+2c_{5}\,xy\tag{2}$$This is exactly the additive-separation solution I gave in post #13 superposed with an additional multiplicative-solution ##xy##.
 
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  • #18
Thank you very much! I have been struggling with this problem for long time.

One more thing. why you stopped at ##n=2##? Also, in the problem with the flow inside a sharp corner. The solution seems to be n=3. However, I'm not sure to fully understand.
 
  • #19
happyparticle said:
One more thing. why you stopped at ##n=2##? Also, in the problem with the flow inside a sharp corner. The solution seems to be n=3. However, I'm not sure to fully understand.
I went up to ##n=2## simply because that's the number required to duplicate the additive solution I gave in post #13. You are of course free to superpose any number of solutions (even infinitely many). But there's no practical reason to add more terms than are necessary to satisfy the boundary conditions of the particular problem you're trying to solve.
 
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  • #20
I was busy last week. Thank you for everything!
 

FAQ: Potential function of a flow around a stagnation point

What is a stagnation point in fluid dynamics?

A stagnation point in fluid dynamics is a location in a flow field where the fluid velocity is zero. At this point, the kinetic energy of the fluid is converted entirely into pressure energy, leading to a local maximum in pressure. Stagnation points are commonly found at the front of objects immersed in a flowing fluid, such as the nose of an airplane or the leading edge of a wing.

What is a potential function in the context of fluid flow?

A potential function, also known as a velocity potential, is a scalar function whose gradient gives the velocity field of a fluid. In irrotational flow, the velocity of the fluid can be expressed as the gradient of the potential function. This concept simplifies the analysis of fluid flow by allowing the use of scalar functions instead of vector fields.

How does the potential function relate to flow around a stagnation point?

In the vicinity of a stagnation point, the potential function helps describe the flow characteristics. Since the flow is irrotational in regions away from the stagnation point, the potential function can be used to determine the velocity field. The flow lines converge toward the stagnation point, and the potential function can be utilized to analyze how the fluid behaves as it approaches and moves away from this point.

What are the implications of the potential function for pressure distribution near a stagnation point?

The potential function is directly related to the pressure distribution around a stagnation point. According to Bernoulli's principle, where the fluid velocity is low (such as at the stagnation point), the pressure is high. As the fluid moves away from the stagnation point, the velocity increases, and the pressure decreases. This relationship helps engineers and scientists predict pressure variations around objects in a flow field.

Can the potential function be used to analyze viscous flows around stagnation points?

The potential function is primarily applicable to inviscid (non-viscous) flows, as it assumes irrotational conditions. However, in the case of viscous flows, the potential function can still provide useful insights, particularly in the outer regions of the flow field. Close to the stagnation point, where viscous effects may be significant, additional methods, such as boundary layer theory, may need to be employed to accurately analyze the flow behavior.

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