Section 13.4 Chop-Multiply-Add: Calculating Moment of Inertia
Definition 13.4.1. Moment of Inertia for Continuous Objects.
The moment of inertia of a rigid object is its capacity to resist changes to its angular motion. For a continuous system, it can be found as a weighted average of the distance from the axis of rotation squared:
\begin{equation*}
I = \int r^2 dm
\end{equation*}
For a continuous object, like a solid sphere or cylinder, the moment of inertia can be calculated using the expression above. As with previous integral expressions in physics, you can use the Chop-Multiply-Add strategy to construct and evaluate any necessary integrals.
Chop: You can start by chopping up the object into small pieces. Each piece of the object is represented by the expression \(dm = \rho dV\text{,}\) where the \(dV\) represents the infinitesimal volume of the piece and \(\rho\) is the volume mass density of the object. In general, \(\rho\) can be either uniform (constant over the entire object) or non-uniform (in which case it will change from place to place).
Multiply: Once you know the mass of each small piece \(dm\text{,}\) you multiply to find the moment of inertia of that small piece is: \(dI = r^2dm = r^2 \rho dV\text{.}\) Here \(r\) is the straight-line (perpendicular) distance from the axis of rotation to the location of \(dm\text{.}\) It can be highly useful to draw a diagram of the shape, including an example \(dm\text{,}\) and label \(r\) so that it can be easily written in terms of your chosen coordinates.
Add: Last, once you have the infinitesimal \(dI\text{,}\) you add together every \(dI\) over the entire object:
\begin{equation*}
\int dI = \int r^2 dm
\end{equation*}
Exercises Activities
1. Calculate - Baton.
In the previous section, you looked up the moment of inertia for a baton spinning about one of its ends. Use the Chop-Multiply-Add strategy to calculate this moment of inertia for yourself, given the mass \(M\) and length \(L\) of the baton. For simplicity, assume the baton is one dimensional and the mass is uniformly distributed \(\lambda = M/L\text{.}\)