Deriving the kinetic energy flux in an effusion process

In summary, the energy flux through the opening is proportional to the number of particles with momentum in the range of interest.
  • #1
rogdal
14
2
Homework Statement
Derive the kinetic energy flux for ideal gases in 2 dimensions. Assume there are $$N$$ particles in a 2-d box of area $$A$$. At time $$t=0$$, a hole of length $$l$$ is made in one of the walls (let's say it lies on the x-axis), so a quasi-static process of effusion begins (we also assume that $$l \ll A$$). Also considering that there are no potentials acting on the box and so the energy of a particle is just its kinetic energy $$\epsilon$$, what would be the expected value of the energy flux of all the particles that escape from the box?
Relevant Equations
$$\overline{\Phi_{effusion,\epsilon}} = \overline{\dot{N_{ef}}}\overline{\epsilon_{ef}}=\frac{3Nl}{2A}\sqrt{\frac{(k_BT)^3}{2\pi m}}$$
I could not find any derivations in the litterature, except for the expected value of the energy flux expression itself:

$$\overline{\Phi_{effusion,\epsilon}} = \overline{\dot{N_{ef}}}\overline{\epsilon_{ef}}=\frac{3Nl}{2A}\sqrt{\frac{(k_BT)^3}{2\pi m}}$$

I've started off by calculating the particle flux through the hole, since the final expression is rather similar.

First of all, the particles can only move in the x and y directions. If the hole is placed in a wall in the x axis, the particle density of the effused particles $$n_{ef}$$ is half of the one of all the particles, $$n_{ef}= n/2$$, since the probability of a particle to approach the wall where the hole is, is (on average) half of the one to move away from it. Therefore, we come to the particle flux expression:

$$\Phi_{ef}=ln_{ef}\frac{\vec{p}}{m}·\vec{u_n}=ln_{ef}\frac{p_x}{m}=\frac{Nlp_x}{2Am}$$

Since the particles follow a Maxwell-Boltzmann distribution,

$$\overline{\dot{N_{ef}}}=\overline{\Phi_{ef}}=\int\nolimits_{-\infty}^{+\infty}\int\nolimits_{-\infty}^{+\infty}\Phi_{ef}\rho_{ef}(\vec{p})dp_xdp_y$$

Where $$\rho_{ef}(\vec{p})$$ is the probability distribution. Since we are only considering positive momenta approaching the wall where the hole is, $$\rho_{ef}(\vec{p})=2\rho(\vec{p})\theta(p_x)$$, where the 2 is the normalization constant and $$\rho(\vec{p})= \frac{1}{2\pi mk_BT}\exp\left({-\frac{|\vec{p}|}{2mk_BT}}\right)$$

Solving the double integral the flux of particles per unit of time that escape is:

$$\overline{\dot{N_{ef}}}=\frac{Nl}{A}\sqrt{\frac{k_B T}{2\pi m}}$$

Now, if we apply the same approach to $$\overline{\Phi_{effusion,\epsilon}}=\overline{\Phi_{ef,\epsilon}}$$, we would get

$$\Phi_{ef,\epsilon}=ln_{ef}\frac{|\vec{p}|}{m}\epsilon \rightarrow {|\vec{p}|=\sqrt{2m\epsilon}} \rightarrow \frac{Nl}{A}\frac{\epsilon^{\frac{3}{2}}}{\sqrt{2m}}$$

and, expressing the MB distribution in terms of the energy (not a MB distribution anymore)

$$\rho_\epsilon(\epsilon)=\frac{1}{k_B T}\exp{\left(-\frac{\epsilon}{k_B T}\right)}$$

I'm struggling to find any relation between $$\rho_\epsilon$$ and $$\Phi_{ef,\epsilon}$$ from which I could derive the expression for $$\overline{\Phi_{ef,\epsilon}}$$. Do you have any ideas?

Thanks.
 
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  • #2
I don't know what you are supposed to assume about this system, but you might want to consider that the MB distribution could be different in 2 dimensions. At least the factor that comes from the density of states should change, I would think.
 
  • #3
Philip Koeck said:
I don't know what you are supposed to assume about this system, but you might want to consider that the MB distribution could be different in 2 dimensions. At least the factor that comes from the density of states should change, I would think.

Thanks for your answer. Yes, sorry, the MB distribution in 2 dimensions is

$$\rho(\vec{p})=\frac{1}{2\pi m k_B T}e^{-\frac{p^2}{2mk_B T}}$$

I forgot to square the p above. But the rest of the conclusions were obtained with the correct form of the 2D MB distributions. Do you know how to come up with the energy flux density for this system?
 
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  • #4
rogdal said:
Now, if we apply the same approach to $$\overline{\Phi_{effusion,\epsilon}}=\overline{\Phi_{ef,\epsilon}}$$, we would get$$\Phi_{ef,\epsilon}=ln_{ef}\frac{|\vec{p}|}{m}\epsilon$$
This doesn't look right. The rate of effusion of particles of a certain momentum should be proportional to ##p_x## rather than ##|\vec p|##.

Suppose we define a distribution function ##n(p_x, p_y)## such that the number of particles per unit area which have ##x## and ##y## components of momentum in the range ##p_x## to ##p_x+dp_x## and ##p_y## to ##p_y+dp_y## is $$n(p_x,p_y)dp_xdp_y.$$ You can express ##n(p_x, p_y)## in terms of ##N##, ##A##, and the Maxwell-Boltzmann distribution.

Show that the number of particles with momentum in this range that effuse through the opening per unit time is $$d\Phi_{particles} =l \left(\frac{p_x}{m}\right)\left[n(p_x,p_y)dp_xdp_y\right]$$ Then show that the flux of energy through the opening carried by these particles is $$d\Phi_\epsilon= l \left(\frac{p_x}{m}\right)\epsilon(p_x, p_y)\left[n(p_x,p_y)dp_xdp_y\right]$$ where ##\epsilon(p_x, p_y)## is the energy of a particle with momentum components ##p_x## and ##p_y##.

The total flux of energy through the opening is then ##\Phi_\epsilon = \int d\Phi_\epsilon##.
 
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  • #5
Thank you very much, @TSny, I understand it now. Yes, I've shown both flux differentials and then the final answer is straightforward.
 
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Related to Deriving the kinetic energy flux in an effusion process

What is the kinetic energy flux in an effusion process?

The kinetic energy flux in an effusion process refers to the rate at which kinetic energy is transferred through a unit area due to the movement of gas molecules escaping through a small orifice. It is a measure of how much kinetic energy is being carried by the gas particles as they effuse from a high-pressure region to a low-pressure region.

How do you derive the expression for kinetic energy flux in an effusion process?

To derive the expression for kinetic energy flux in an effusion process, one typically starts with the Maxwell-Boltzmann distribution to determine the velocity distribution of gas molecules. Then, by integrating over the distribution and considering the kinetic energy of the molecules, one can derive the flux. The kinetic energy flux \( \Phi_{KE} \) is given by the equation \( \Phi_{KE} = \frac{1}{2} m \Phi_n \langle v^2 \rangle \), where \( m \) is the mass of a gas molecule, \( \Phi_n \) is the number flux, and \( \langle v^2 \rangle \) is the mean square velocity.

What assumptions are made in deriving the kinetic energy flux in an effusion process?

The derivation of kinetic energy flux in an effusion process typically assumes that the gas behaves ideally, the orifice is small compared to the mean free path of the gas molecules (so that collisions within the orifice can be neglected), and the gas molecules are in thermal equilibrium, following the Maxwell-Boltzmann velocity distribution. Additionally, it is assumed that the effusion process is steady-state.

What role does the Maxwell-Boltzmann distribution play in the derivation?

The Maxwell-Boltzmann distribution provides the statistical distribution of velocities of gas molecules in thermal equilibrium. This distribution is crucial for calculating the average kinetic energy and the number of molecules with sufficient energy to effuse through the orifice. By integrating over the Maxwell-Boltzmann distribution, one can determine the mean square velocity and the number flux, which are necessary for deriving the kinetic energy flux.

How does temperature affect the kinetic energy flux in an effusion process?

Temperature has a significant impact on the kinetic energy flux in an effusion process. As temperature increases, the average kinetic energy of the gas molecules increases, which raises the mean square velocity \( \langle v^2 \rangle \). Since the kinetic energy flux \( \Phi_{KE} \) is proportional to \( \langle v^2 \rangle \), an increase in temperature results in a higher kinetic energy flux. This relationship highlights the direct dependence of kinetic energy flux on temperature.

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