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6.2: A Modeling Example: Counting Ping Pong Balls

Difficulty Level: At Grade Created by: CK-12

Suppose you have a cylinder of height \begin{align*}h\end{align*}h with base diameter \begin{align*}b\end{align*}b (perhaps an empty pretzel jar), and you wish to know how many ping-pong balls of diameter \begin{align*}d\end{align*}d have been placed inside the cylinder. How could you determine this? This problem, along with the strategy for computing the lower bound on the number of ping-pong balls, is adapted from Starfield (1994).

A lower bound for this problem is found as follows. Define the following variables:

  • \begin{align*}N_L-\end{align*}NLLower bound on the number of balls that fit into the cylinder.
  • \begin{align*}V_{cyl}-\end{align*}VcylThe volume of the cylinder.
  • \begin{align*}V_{cube}-\end{align*}VcubeThe volume of a cube that encloses a single ball.

\begin{align*}V_{cyl} & = h\pi(\tfrac{b}{2})^2 \\ V_{cube} & = d^3\end{align*}VcylVcube=hπ(b2)2=d3

The lower bound \begin{align*}N_L\end{align*}NL is found by dividing the volume of the cylinder by the volume of the cube enclosing a single ball:

\begin{align*}N_L = \tfrac{V_{cyl}}{V_{cube}}\end{align*}NL=VcylVcube

Exercise 11

You are given the following values:

  • \begin{align*}d = 1.54\;\mathrm{in}\end{align*}d=1.54in
  • \begin{align*}b = 8\;\mathrm{in}\end{align*}b=8in
  • \begin{align*}h = 14 \;\mathrm{in}\end{align*}h=14in

Type commands at the command line prompt to compute \begin{align*}N_L\end{align*}NL.

Exercise 12

Create an m-file to solve Exercise 11.

To complicate your problem, suppose that you have not been given values for \begin{align*}d\end{align*}d, \begin{align*}b\end{align*}b, and \begin{align*}h\end{align*}h. Instead you are required to estimate the number of ping pong balls for many different possible combinations of these variables (perhaps \begin{align*}50\end{align*}50 or more combinations). How can you automate this computation?

One way to automate the computation of \begin{align*}N_L\end{align*}NL for many different combinations of parameter values is to use a for loop. The following exercises ask you to develop several different ways that for loops can be used to automate these computations.

Exercise 13

Add a for loop to your m-file from Exercise 12 to compute \begin{align*}N_L\end{align*}NL for \begin{align*}b = 8 \;\mathrm{in}\end{align*}b=8in, \begin{align*}h = 14 \;\mathrm{in}\end{align*}h=14in, and values of \begin{align*}d\end{align*}d ranging from \begin{align*}1.0 \;\mathrm{in}\end{align*}1.0in to \begin{align*}2.0 \;\mathrm{in}\end{align*}2.0in.

Exercise 14

Modify your m-file from Exercise 13 to plot \begin{align*}N_L\end{align*}NL as a function of \begin{align*}d\end{align*}d for \begin{align*}b = 8 \;\mathrm{in}\end{align*} and \begin{align*}h = 14 \;\mathrm{in}\end{align*}.

Exercise 15

Modify your m-file from Exercise 13 to compute \begin{align*}N_L\end{align*} for \begin{align*}d = 1.54 \;\mathrm{in}\end{align*} and various values of \begin{align*}b\end{align*} and \begin{align*}h\end{align*}.

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Feb 23, 2012
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Apr 13, 2016
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CK.ENG.ENG.SE.1.Engineering-Matlab.6.2