Fluid dynamics - dissipation using cylindrical coordinates

In summary, the dissipation equation in cylindrical coordinates can be expressed as:2 mu ( e_{ij}^2 - \frac{1}{3} \Delta ^2 )= \frac{d_{ij}}{2 \mu}
  • #1
da_willem
599
1
I have this flow field in cylindrical coordinates of which I would like to calculate the dissipation as a function of these coordinates. Now in my fluid dynamics notes I found the following expression(s) for the dissipation:

[tex]2 \mu (e_{ij} -\frac{1}{3} \Delta \delta _{ij} )^2 = 2 \mu ( e_{ij}^2 - \frac{1}{3} \Delta ^2 )= \frac{d_{ij}}{2 \mu}[/tex]

with [itex]\mu[/itex] the dynamic viscosity, e the rate-of-deformation tensor, [itex]\Delta[/tex] the divergence of the velocity and d the deviatoric stresses. I assume these squares express two sums required by the Einstein summation convention?

I also found some expressions for the deviatoric stresses in cylindrical coordinates, terms like [tex]d_{z \phi}, d_{zr}, d_{zz}[/tex] etc. I don't really know how to interpret these and how to proceed. Can I use the last expression and instead of summing over x,y and z sum over the three cylindrical coordinates? Or does this yield something different?
 
Physics news on Phys.org
  • #2
Hi, dawillem:
Do you know of dyadics?
If you use this formalism, you can formulate the expressions independent of the type of coordinate system you're using.

For example, I assume you're familiar with the expression:
[tex]\dot{e}_{ij}=\frac{1}{2}(\nabla\vec{v}+(\nabla\vec{v})^{T})[/tex]
where T is the transpose.
For Cartesian coordinates, we have:
[tex]\dot{e}_{ij}=\frac{1}{2}(\frac{\partial{u}_{i}}{\partial{x}_{j}}+\frac{\partial{u}_{j}}{\partial{x}_{i}})[/tex]

Let's calculate the matrix [tex]\nabla\vec{v}[/tex] in CYLINDRICAL coordinates:
1) We have: [tex]\nabla=\vec{i}_{r}\frac{\partial}{\partial{r}}+\vec{i}_{\theta}\frac{\partial}{r\partial\theta}+\vec{i}_{z}\frac{\partial}{\partial{z}}[/tex]
Along with the relations:
[tex]\frac{\partial\vec{i}_{r}}{\partial{z}}=\frac{\partial\vec{i}_{\theta}}{\partial{z}}=\frac{\partial\vec{i}_{z}}{\partial{z}}=\vec{0}[/tex]
[tex]\frac{\partial\vec{i}_{r}}{\partial{r}}=\frac{\partial\vec{i}_{\theta}}{\partial{r}}=\frac{\partial\vec{i}_{z}}{\partial{r}}=\vec{0}[/tex]
[tex]\frac{\partial\vec{i}_{r}}{\partial{\theta}}=\vec{i}_{\theta},\frac{\partial\vec{i}_{\theta}}{\partial{\theta}}=-\vec{i}_{r},\frac{\partial\vec{i}_{z}}{\partial{\theta}}=\vec{0}[/tex]
2) Let [tex]\vec{v}=v_{r}\vec{i}_{r}+v_{\theta}\vec{i}_{\theta}+v_{z}\vec{i}_{z}[/tex]
3)We therefore should have:
[tex]\nabla\vec{v}=\vec{i}_{r}\frac{\partial\vec{v}}{\partial{r}}+\vec{i}_{\theta}\frac{\partial\vec{v}}{r\partial{\theta}}+\vec{i}_{z}\frac{\partial\vec{v}}{\partial{z}}[/tex]
And, for example:
[tex]\frac{\partial\vec{v}}{\partial{\theta}}=\frac{\partial{v}_{r}\vec{i}_{r}}{\partial\theta}+\frac{\partial{v}_{\theta}\vec{i}_{\theta}}{\partial\theta}+\frac{\partial{v}_{z}\vec{i}_{z}}{\partial\theta}[/tex]
That is:
[tex]\frac{\partial\vec{v}}{\partial{\theta}}=\frac{\partial{v}_{r}}{\partial\theta}\vec{i}_{r}+v_{r}\vec{i}_{\theta}+\frac{\partial{v}_{\theta}}{\partial\theta}\vec{i}_{\theta}-v_{\theta}\vec{i}_{r}+\frac{\partial{v}_{z}}{\partial\theta}\vec{i}_{z}}[/tex]
Thus, we can write:
[tex]\vec{i}_{\theta}\frac{\partial\vec{v}}{r\partial{\theta}}=\frac{\partial\vec{v}}{\partial{\theta}}=\frac{\partial{v}_{r}}{r\partial\theta}\vec{i}_{\theta}\vec{i}_{r}+\frac{v_{r}}{r}\vec{i}_{\theta}\vec{i}_{\theta}+\frac{\partial{v}_{\theta}}{r\partial\theta}\vec{i}_{\theta}\vec{i}_{\theta}-\frac{v_{\theta}}{r}\vec{i}_{\theta}\vec{i}_{r}+\frac{\partial{v}_{z}}{r\partial\theta}\vec{i}_{\theta}\vec{i}_{z}[/tex]
A quantity of type [tex]\vec{i}_{\theta}\vec{i}_{\theta}[/tex] is called a DYAD, and we can regard it as a matrix with value 1 at row&column position [tex]\vec{i}_{\theta}[/tex] and 0 elsewhere.
(The two other "diagonal" dyads are, of course [tex]\vec{i}_{r}\vec{i}_{r},\vec{i}_{z}\vec{i}_{z}[/tex])
I'll leave the rest to you..

With the dyad formalism, you can readily find your expressions in arbitrary coordinate systems.
 
Last edited:
  • #3
Thanks for your helpful reply arildno,

I've never heard of dyads before, but most of the things you wrote I'm more or less familiar with. We haven't treated the mathematics of tensors and dyads thoroughly though. In my notes the rate of deformation tensor is written:

[tex]\frac{1}{2} ( \frac{\partial u_i}{\partial x_j}+\frac{\partial u_j}{\partial x_i})[/tex]

But I can see that this comes down to the expression you used. The above expression is only correct in Cartesian coordinates right, and the expression you wrote is right independent of coordinates? [If this what is called the tensor coordinate free form then how come the above expression with the indices and all reminds me more of tensors?!]

I think I know how to proceed with the rest of the terms now, but I think i'ts going to take a while...so I'd like to find a shortcut, as I already know the expressions for the deviatoric stresses in cylindrical coordinates. The expression for the dissipation:

[tex]\frac{d^2_{ij}}{2 \mu}[/tex]

if I'm not mistaken comes down to summing all the squared elements of d. Is this true as well for d in cylindrical coordinates, and why (not)?
 
  • #4
I'll check up in my books for the exact expressions, and get back to that.

However, you can probably design a tensor notation with a nice set of indices to get it working.
Note that, for general, 3-D curvilinear coordinates, the del-operator has the form:
[tex]\nabla=\vec{i}_{1}\frac{\partial}{h_{1}\partial{x}_{1}}+\vec{i}_{2}\frac{\partial}{h_{2}\partial{x}_{2}}+\vec{i}_{3}\frac{\partial}{h_{3}\partial{x}_{3}}[/tex]
where the h's are appropriate scale factors (possibly functions of the variables), and the vectors form an orthonormal set.
 
  • #5
You mean an expression for the dissipation not dependent on the particular coordinates? The expressions in my first post were the only ones I could find and they all assume Cartesian coordinates right?

I guess you could translate the part in between the square in coordinate free form as:

[tex]2 \mu (e_{ij} -\frac{1}{3} \Delta \delta _{ij} )^2 \rightarrow 2 \mu (\frac{1}{2}(\nabla\vec{v}+(\nabla\vec {v})^{T}) - \frac{1}{3} \nabla \cdot \vec{v} I)[/tex]

But then I don't know what to do with the square in the expression... So I guess it boils down to find out how to translate the square (it must yield a scalar as the expression denotes the dissipation) to coordinate free form. Or find a coordinate free expression in a book somewhere.

As I interpreted it, it means a double summation:

[tex]d_{ij}=\Sigma^3 _{i=1} \Sigma^3 _{j} d_{ij} d_{ij} = \Sigma^3 _{i=1} \Sigma^3 _{j} d_{ij} ^2[/tex]

This probably has got something to do with tensor invariants, and my feeling (or my laziness) says I can just do the same with the components [tex]d_{z \phi}, d_{zr}, d_{zz}[/tex] etc. But I'm not too sure.
 
  • #6
I found an expression in cylindrical coordinates... @ http://www.clarkson.edu/subramanian/ch527/supplem/dissipation.pdf

It looks a lot like the sum of the squared elements [tex]d_{z \phi}, d_{zr}, d_{zz}[/tex] etc, but I'll have to look at it more thoroughly.
 
Last edited by a moderator:
  • #7
We physicists don't worry too much about bases on tangent & cotangent spaces of a manifold,but more on how the components of (pseudo)tensor quantities behave.I'll use the column-semicolumn notation.

U wan to put this tensor (actually the components,but physicists always name "components of a tensor"="tensor")

[tex] e_{ij}=\frac{1}{2}v_{(i,j)}=\frac{1}{2}\left(v_{i,j}+v_{j,i}\right) [/tex]

in covariant form.U'll need the covariant derivative

[tex] \tilde{e}_{ij}=\frac{1}{2}v_{(i;j)}=\frac{1}{2}\left(v_{i;j}+v_{j;i}\right) [/tex]

where

[tex] v_{i;j}=v_{i,j}+\Gamma^{k} \ _{ij}v_{k} [/tex]

All u have to do is find the Christoffel symbols.It's not difficult to find the metric tensor & its inverse,since the cylindrical system of coordinates is orthonormal...


Daniel.
 
  • #8
Actually I think I know how to find, in principle, the rate-of-deformation tensor e using cylindrical coordiantes using arildno's post. But I want to know the dissipation: how is this related to e in coordinate free form?

And what exactly does 'covariant form' mean?
 
  • #9
What is the relation in euclidean/cartesian orthonormal coordinates...?

Invariant under general coordinates tranformation...


Daniel.
 
  • #10
[tex]2 \mu (e_{ij} -\frac{1}{3} \Delta \delta _{ij} )^2 = 2 \mu ( e_{ij}^2 - \frac{1}{3} \Delta ^2 )= \frac{d^2_{ij}}{2 \mu}[/tex]

What does invariance under general coordinates tranformation mean for the expression you wrote down. Surely the components of e change under a coordinate transormation as the Christoffel symbols change. So this invariance means for e...?!
 
  • #11
It's not tensor correct.The LHS of the last equality is a scalar,while the RHS is a II-nd rank (pseudo)tensor.

[tex] \hat{e}^{2}=e_{ij}e^{ij} [/tex]

[tex] \Delta^{2}=\left(v^{i}\ _{,i}\right)^{2} [/tex]

Daniel.
 
Last edited:

Related to Fluid dynamics - dissipation using cylindrical coordinates

1. What is fluid dynamics?

Fluid dynamics is a branch of physics that studies the motion and behavior of fluids, such as liquids and gases, in response to external forces.

2. What are cylindrical coordinates?

Cylindrical coordinates are a type of coordinate system used to describe points in three-dimensional space. They consist of a radial distance, an azimuthal angle, and a height or axial distance from a reference point.

3. What is dissipation in fluid dynamics?

Dissipation refers to the process of converting the kinetic energy of a fluid into thermal energy through frictional forces. This results in a decrease in the fluid's velocity and an increase in its temperature.

4. How is dissipation calculated using cylindrical coordinates?

In cylindrical coordinates, dissipation can be calculated using the Navier-Stokes equations, which take into account the fluid's velocity, density, and viscosity. These equations can be solved using numerical methods or experimental data.

5. What are some real-world applications of fluid dynamics and dissipation using cylindrical coordinates?

Fluid dynamics and dissipation are important in various fields, including aerospace engineering, meteorology, and oceanography. They can be used to study the flow of air around an airplane, predict weather patterns, and understand ocean currents and turbulence, among other applications.

Similar threads

Replies
6
Views
603
Replies
4
Views
728
  • Calculus and Beyond Homework Help
Replies
4
Views
915
Replies
12
Views
4K
  • Introductory Physics Homework Help
Replies
2
Views
683
  • Advanced Physics Homework Help
Replies
3
Views
2K
  • Advanced Physics Homework Help
Replies
5
Views
989
Replies
15
Views
3K
  • Advanced Physics Homework Help
Replies
4
Views
1K
  • Advanced Physics Homework Help
Replies
1
Views
1K
Back
Top