A long, solid rod \(4.5 \mathrm{cm}\) in radius carries a uniform volume charge density. If the electric field strength at the surface of the rod (not near either end) is \(16 \mathrm{kN} / \mathrm{C},\) what's the volume charge density?

Short Answer

Expert verified
The volume charge density of the rod is approximately \(6.282 \times 10^{-10} \mathrm{C/m^3}\)

Step by step solution

01

Define the given values

First, define the given values. The electric field (E) at the surface of the rod is \(16 \mathrm{kN/C} = 1.6 \times 10^4 \mathrm{N/C}\), and the radius (r) of the rod is \(4.5 \mathrm{cm} = 0.045 \mathrm{m}\). The value for epsilon naught (ϵ₀) is a constant equal to \(8.85 \times 10^{-12} \mathrm{C^2/Nm^2}\).
02

Apply Gauss' Law to find total charge

For a cylindrical Gaussian surface of radius r enclosing the rod, the electric field is parallel to the area vector of the surface. Applying Gauss's law gives \(E \times 2\pi rL = \dfrac{Q}{\epsilon_0}\), where L is the length of the rod. Solving for Q (total enclosed charge) gives \(Q = E \times 2\pi rL \times \epsilon_0\). The length of the rod is not given, so we will leave it as an unknown variable for now.
03

Determine the volume charge density

The volume charge density (ρ) is defined as the total enclosed charge (Q) divided by the volume (V) of the object. For a cylinder, this is \(V=\pi r^2L\) where L and r are the length and radius of the rod. Plugging Q from Gauss' law and V into the equation \(\rho = \dfrac{Q}{V}\) gives: \(\rho = \dfrac{E \times 2\pi rL \times \epsilon_0}{\pi r^2L}\). Simplifying this expression gives: \(\rho = \dfrac{2E\epsilon_0}{r}\).
04

Substitute the known values

Substitute the known values of E, ϵ₀, and r into the equation: \(\rho = \dfrac{2 \times (1.6 \times 10^4 \mathrm{N/C}) \times (8.85 \times 10^{-12} \mathrm{C^2/Nm^2})}{0.045 \mathrm{m}}\)
05

Calculate the volume charge density

Calculate to get the volume charge density (ρ), which gives \(\rho \approx 6.282 \times 10^{-10} \mathrm{C/m^3}\) . It's important to note that the result is an approximation because of rounding errors.

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