Diffusion equation (derivation)

In summary: Based on the given conversation, we can summarize that the conversation is about deriving an equation for temperature in a solid material with given parameters and expressing it in Cartesian coordinates. The equation is obtained using the divergence theorem and the differentiation operator is transported inside a triple integral. The final step involves comparing two expressions for the rate of change of heat energy and setting them equal for arbitrary volumes, resulting in the three-dimensional diffusion equation. In summary, the conversation is about deriving and solving the three-dimensional diffusion equation for temperature in a solid material.
  • #1
Benny
584
0
Hi, I'm not understanding an example in my book. Can someone please shed some light on it?

> Derive the equation satisfied by the temperature [tex]u\left( {\mathop r\limits^ \to ,t} \right)[/tex] at time t for a material of uniform conductivity k, specific heat capacity s and density [tex]\rho [/tex]. Express the equation in Catersian coordinates.

Let us consider an arbitrary volume V lying within the solid and bounded by a surface S (this may coincide with the surface of the solid if so desired). At any point in the solid the rate of heat flow per unit area in any given direction [tex]\mathop {\mathop r\limits^ \to }\limits^\^ [/tex] is proportional to minus the component of the temperature gradient in that direction and so is given by [tex]\left( { - k\nabla u} \right) \bullet \mathop {\mathop r\limits^ \to }\limits^\^ [/tex].

Since r has 3 components x,y,z then I understand that it is directed out of the volume. But what about u? Is it a function of 2 or 3 variables? u = u(r,t) = u(x,y,z,t) ? Certainly, if u is a function of 3 variables then it's gradient is directed out of the volume and then the above would make sense. Otherwise I don't really get what's going on here.

The total flux of heat out of the volume V per unit time is given by

[tex]
- \frac{{dQ}}{{dt}} = \int\limits_{}^{} {\int\limits_S^{} {\left( { - k\nabla u} \right) \bullet ndS} }
[/tex]

[tex]
= \int\limits_{}^{} {\int\limits_{}^{} {\int\limits_V^{} {\nabla \bullet \left( { - k\nabla u} \right)dV} } }
[/tex]

Ok this is just the divergence theorem...

where Q is the total heat energy in V at time t and n is the outward-pointing unit normal to S.

We can also express Q as a volume integral over V,

[tex]Q = \int\limits_{}^{} {\int\limits_{}^{} {\int\limits_V^{} {s\rho udV} } } [/tex]

and its rate of change is given by:

[tex]
\frac{{dQ}}{{dt}} = \int\limits_{}^{} {\int\limits_{}^{} {\int\limits_V^{} {s\rho \frac{{\partial u}}{{\partial t}}} dV} }
[/tex]

I don't understand this bit. I know that it's got something to do with differentiating inside the integral. However, I can't think of a suitable formula to apply to this situation to carry out the differentiation. The only relevant things which come to mind apply to single integrals - not sure if there is an equivalent for a triple integral.

Comparing the two expression for dQ/dt and remembering that the volume V is arbitrary, we obtain the three-dimensional diffusion equation

[tex]
\kappa \nabla ^2 u = \frac{{\partial u}}{{\partial t}}
[/tex]

Where kappa k is a suitable constant.

I'm not sure what's been done in this step either. It looks like they've just taken the two expressions for dQ/dt, integrated with respect to t but that doesn't really seem to make sense. I also have no idea as to how an arbitrary volume allows the last step to be performed. Wouldn't the expressions for the volume integrals differ depending on limits of integration?

Any explanations are appreciated, thanks.

Edit: The formatting is a little hard to read. -_-
 
Last edited:
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  • #2
Benny said:
Since r has 3 components x,y,z then I understand that it is directed out of the volume. But what about u? Is it a function of 2 or 3 variables? u = u(r,t) = u(x,y,z,t) ?


You yourself said that [itex]u=u(\vec{r},t)[/itex]. Since the argument [itex]\vec{r}[/itex] is a vector, then yes [itex]u=u(x,y,z,t)[/itex].

We can also express Q as a volume integral over V,
[tex]Q = \int\limits_{}^{} {\int\limits_{}^{} {\int\limits_V^{} {s\rho udV} } } [/tex]
and its rate of change is given by:
[tex]
\frac{{dQ}}{{dt}} = \int\limits_{}^{} {\int\limits_{}^{} {\int\limits_V^{} {s\rho \frac{{\partial u}}{{\partial t}}} dV} }
[/tex]

I don't understand this bit. I know that it's got something to do with differentiating inside the integral. However, I can't think of a suitable formula to apply to this situation to carry out the differentiation. The only relevant things which come to mind apply to single integrals - not sure if there is an equivalent for a triple integral.

Yes, they transported the differentiation operator inside the triple integral. It only acts on [itex]u[/itex] because that's the only factor in the integrand that depends on time. And the total derivative operator changed to a partial derivative operator because the derivative operator inside the integrand acts on a function of several variables, whereas outside it acts on a function of only one variable, namely [itex]t[/itex].

I'm not sure what's been done in this step either. It looks like they've just taken the two expressions for dQ/dt, integrated with respect to t but that doesn't really seem to make sense. I also have no idea as to how an arbitrary volume allows the last step to be performed. Wouldn't the expressions for the volume integrals differ depending on limits of integration?

Yes, they compared the two expressions for [itex]\frac{dQ}{dt}[/itex], and then set the integrals equal. Since the integrals are equal for arbitrary volumes it means that the integrands must be equal, and so they simply set them equal to obtain the PDE.

Edit: The formatting is a little hard to read. -_-


If you want your LaTeX to be in a sentence, then replace the tex tags with itex (inline tex) tags.
 
  • #3
Thanks for your insights Tom.
 

1. What is the diffusion equation?

The diffusion equation is a mathematical model that describes the movement of particles or substances from an area of high concentration to an area of low concentration as a result of random molecular motion.

2. How is the diffusion equation derived?

The diffusion equation is derived from Fick's laws of diffusion, which state that the flux (rate of particle movement) is proportional to the concentration gradient and the diffusion coefficient of the substance. By applying these laws to a small volume element, the diffusion equation can be derived.

3. What are the assumptions made in deriving the diffusion equation?

The main assumptions made in deriving the diffusion equation include: the particles are small and do not interact with each other, the concentration gradient is constant throughout the system, and the diffusion coefficient is constant over time and space.

4. What are the applications of the diffusion equation?

The diffusion equation has a wide range of applications in various fields such as physics, chemistry, biology, and engineering. It is commonly used to model diffusion processes in gases, liquids, and solids, and is also used in areas such as heat transfer, mass transport, and reaction kinetics.

5. Are there any limitations to the diffusion equation?

While the diffusion equation is a powerful tool for describing many real-world phenomena, it does have some limitations. It assumes that the system is at equilibrium, which may not always be the case in practical situations. Additionally, it does not take into account any external factors that may affect the diffusion process, such as flow or convection.

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