Conductivity Tensor: Problem 4.7 Purcell Analysis

In summary, the conversation discusses the calculation of conductivity in a composite conductor made of tin and silver plates stacked alternately. It is noted that the conductivity depends on the direction of the applied current, either parallel or perpendicular to the plates. The equations for the microscopic version of Ohm's Law and the ratio of conductivity in the two directions are derived. However, there is a discrepancy between the calculated and expected values, leading to a discussion of the possible error in the $\sigma_\perp$ equation.
  • #1
psholtz
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Homework Statement



I'm working through Problem 4.7 in Purcell, on conductivity tensors.

We build a conductor by alternately stacking plates of tin and silver (differing conductivities). When we pass a current through this "composite" conductor, we will get a different value for the conductivity depending on whether we apply the current (a) parallel; or (b) perpendicular to the plates.

Let [tex]\sigma_1[/tex] designate the conductivity of the silver plate, and [tex]\sigma_2[/tex] designate the conductivity of the tin.

The silver plate is 100 angstrom thick, and the tin plate is 200 angstrom thick.

We are seeking the "ratio" of [tex]\sigma_{\perp} / \sigma_{\parallel}[/tex]

Homework Equations



The important equation is the "microscopic" version of Ohm's Law:

[tex]\mathbf{J} = \sigma \mathbf{E}[/tex]

The Attempt at a Solution



First let's derive a value for [tex]\sigma_{\perp}[/tex], which is to say, the conductivity we get when passing the current perpendicular to the plates. The current density must be the same in both regions (silver and tin). Because the conductivities of the metals differ, we must have a charge layer that builds up at the junction between the metal plates. In other words:

[tex]J_1 = J_2[/tex]

[tex]\sigma_1 E_1 = \sigma_2 E_2[/tex]

and since [tex]\sigma_1 > \sigma_2[/tex], we must have [tex]E_1 < E_2[/tex].

Let [tex]E_0[/tex] be the 'net" electric field driving the (uniform) current density in both regions (i.e., [tex]J_{net} = \sigma_{net} E_0 = \sigma_{\perp} E_0[/tex]). We have:

[tex]E_1 = E_0 - E_{charge layer}[/tex]

[tex]E_2 = E_0 + E_{charge layer}[/tex]

from which we obtain:

[tex]\large{ E_0 = \frac{1}{2}(E_1 + E_2)}[/tex]

[tex]\large{E_0 = \frac{J}{2}(\frac{1}{\sigma_1} + \frac{1}{\sigma_2})}[/tex]

[tex]\large{E_0 = \frac{J}{2}( \frac{\sigma_1 + \sigma_2}{\sigma_1 \sigma_2} )}[/tex]

[tex]\large{J = \frac{2 \sigma_1 \sigma_2}{\sigma_1 + \sigma_2} E_0 }[/tex]

From which we conclude:

[tex]\sigma_{\perp} = \frac{2 \sigma_1 \sigma_2}{\sigma_1 + \sigma_2}[/tex]

Note that if [tex]\sigma_1 = \sigma_2 = \sigma[/tex], we have:

[tex]\sigma_{\perp} = \frac{2 \sigma^2}{2 \sigma} = \sigma[/tex]

which is the result we expect.

Now let's derive the "parallel" conductivity. Again, we will have a net "applied" electric field [tex]E_0[/tex] but this time, the applied field will produce two distinct current denstities in the respective metal layers. The "net" current density, the one we will use to calculate the "parallel" conductivity of the material, will be the vector sum of these two (in other words, there will be no net charge layer). We have:

[tex]J_1 = \sigma_1 E_0[/tex]

[tex]J_2 = \sigma_2 E_0[/tex]

Bearing in mind that the silver layer (sigma 1) is 100 ang thick, and the tin layer (sigma 2) is 200 ang thick, we have:

[tex]J_{total} = J_1 + J_2 = \frac{\sigma_1 + 2\sigma_2}{3} E_0[/tex]

So that:

[tex]\sigma_{\parallel} = \frac{\sigma_1 + 2\sigma_2}{3}[/tex]

Again, if [tex]\sigma_1 = \sigma_2 = \sigma[/tex], we have:

[tex]\sigma_{\parallel} = \frac{\sigma + 2\sigma}{3} = \sigma[/tex]

which is the expected result.

The ratio we initially set out to calculate is thus:

[tex]\sigma_{\perp} / \sigma_{\parallel} = \frac{6 \sigma_1 \sigma_2}{(\sigma_1 + \sigma_2)(\sigma_1 + 2\sigma_2)} [/tex]

If we suppose that [tex]\sigma_1 = k\sigma_2[/tex] this reduces to:

[tex]\sigma_{\perp} / \sigma_{\parallel} = \frac{6 k \sigma_2^2}{(k\sigma_2 + \sigma_2)(k\sigma_2 + 2\sigma_2)} = \frac{6 k \sigma_2^2}{(k + 1)(k + 2)\sigma_2^2}[/tex]

[tex]\sigma_{\perp} / \sigma_{\parallel} = \frac{6k}{(k+1)(k+2)} [/tex]

Taking k=7.2, we have:

[tex]\sigma_{\perp} / \sigma_{\parallel} = 0.573[/tex]

However, the answer in the book is 0.457.

What am I doing wrong?
 
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  • #2
Your $\sigma_\perp$ equation is wrong. It should be $\sigma_\perp = \frac{3 \sigma_Ag \sigma_sn}{\sigma_Sn + 2 \sigma_Ag}$.
 

FAQ: Conductivity Tensor: Problem 4.7 Purcell Analysis

What is a conductivity tensor?

A conductivity tensor is a mathematical representation of the electrical conductivity of a material, which describes how well a material conducts electricity in different directions.

Why is conductivity tensor analysis important?

Conductivity tensor analysis is important because it allows us to understand and predict the behavior of materials in electrical fields, which is crucial for various applications such as electronic devices, materials testing, and geophysical exploration.

What does "Problem 4.7 Purcell Analysis" refer to?

"Problem 4.7 Purcell Analysis" refers to a specific problem in the textbook "Electricity and Magnetism" by Edward Purcell, which involves using the conductivity tensor to analyze the electrical properties of a material.

How is the conductivity tensor represented?

The conductivity tensor is usually represented as a 3x3 matrix, with each element representing the conductivity in a specific direction. It can also be represented as a 3x3x3 tensor to account for anisotropic materials.

What factors can affect the conductivity tensor of a material?

The conductivity tensor of a material can be affected by various factors such as temperature, pressure, and the presence of impurities or defects in the material's structure.

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