Empirical Analysis of a Ring Pendulum
Introduction
If you suspend an object in the shape of a ring on a knife edge and give it a slight push, it will swing back and forth, pivoting about the equilibrium position. The time required for the ring to complete one complete swing back and forth is called the period of oscillation. If you were to use a different sized ring, say one with a larger diameter, and measure its period of oscillation, you'd find that the larger ring has a longer period. To a physicist, several interesting questions come to mind: What properties of the ring determine its period of oscillation? What mathematical relationship among the relevant properties of a ring can be found that will enable me to predict the period of oscillation of any ring?Figure 1
Procedure
Part 1: Effect of Oscillation Amplitude on Period
Select a large ring and mount it on the knife edge support. Position the photogate just beyond the outer edge of the ring as shown in the equipment setup figure. Gently nudge the ring and observe the red LED on the photogate. The LED should turn on only once per oscillation. If this does not occur, adjust the position of the photogate until the LED flashes at the same frequency as the ring is oscillating. The selecting the time and one gate mode on the smart-timer measures the elapsed time between two successive interruptions of the photogate beam, so it should now read the period of oscillation. Record at least five measurements of the period for this "small" amplitude oscillation. Estimate the angular displacement (in degrees) for this "small" amplitude trial. This measurement can be made with a protractor held upside down at the pivot point and subtracting readings where the edge of the ring intersects the protractor. Record your findings (with uncertainty estimates). Repeat the above procedure for "medium" and "large" amplitude oscillations, and record your data in a table. Note that larger amplitude oscillations can become chaotic, so do your best to gather accurate data from this upper limit, but do not spend more than about ten minutes on this part of the experiment. Examine your data and discuss your findings with other students. What trends do you observe? How does the amplitude affect the period of oscillation? Is there a range of amplitudes for which the period is mostly constant?Part 2: Effect of Mass on the Period
Consider now how the mass of the ring might affect the period. Since both the mass and the mean diameter of the rings may affect the period, we should hold the diameter of the rings constant while varying their mass. Find a set of three rings all having the same physical dimensions but made of different materials and therefore different masses. Weigh each of the rings in this set and record the masses. One by one, mount each ring on the knife-edge and measure its period, keeping the amplitude the same for each ring (i.e. ~10 degrees). Record at least five values of the period for each ring using the photogate smart-timer as in Part 1. Compute the average period for each of the rings. Estimate the uncertainty in the period for each ring, and report the average ± the uncertainty. Study the results of this experiment. What can you conclude about the effect of a ring's mass on the period of oscillation? Is this what you expected? Why?Part 3: Effect of Ring Diameter on the Period
Now you will determine the dependence of the period of oscillation due to the mean diameter of the rings. Notice that if we were to follow the same line of reasoning as in Part 2, it would be necessary to measure the period of a set of rings that are identical in every respect except the diameter; i.e., we would need to use rings of varying size but constant mass. This would be difficult to arrange: we would have to choose the sizes and materials just right. Fortunately, this is not necessary. We can, in fact, proceed using rings of varying diameters and ignore the variation in masses. Why is this valid? In order to determine the dependence of the period of oscillation on the mean diameter of a ring, we first make a guess about the nature of this dependence. In particular, we will guess that the period is proportional to a power of the mean diameter. That is:( 1 )
T = a · Dn
b · Dm , where m ≠ n).
The simplest guess may not be the right one, but it is certainly a good place to start. If the guess is wrong, we'll know it, because the experimental results will not support the theory.
Let's take the natural logarithm of both sides of the power-law relation, and apply the properties
of logarithms to obtain:
( 2 )
ln(T) = n* ln(D) + ln(a).
A quick review of logarithm properties:
-
ln(ab) = ln(a) + ln(b) ln a b = ln(a) − ln(b) ln
ab= b ln(a)
Before leaving the lab, initial your data sheets, have your instructor initial your data
sheets, and hand in a copy of each data sheet to your instructor.
Analysis
Part 1: Effect of Oscillation Amplitude on the Period
Compare the periods of oscillation you obtained for different amplitudes of the same ring. Is there a measurable difference in the average period for small versus large amplitudes? How significant is this difference compared to the change in angular displacement? Is your conclusion consistent with the findings of other students?Part 2: Effect of Mass on the Period
What did you conclude about how the mass of a ring affects its period? Is your conclusion consistent with the findings of other students? Are any of your results (or those of other students) inconsistent with your conclusion? If so, what might account for the discrepancy?Part 3: Effect of Ring Diameter on the Period
Make a table of your experimental results for Part 3 that contains the mean diameter, average period of oscillation, and the natural logarithm of each. Construct a graph of ln(T) vs. ln(D). See if points lie along a straight line. Note that a straight-line plot also indicates that our original 'guess' about the power-law dependence of T on D was correct. Determine the slope and vertical intercept from the graph. The slope of your straight line is the power, n, in the assumed power law expression. Record the value of the slope. The vertical intercept on your graph is the natural log of the constant a. Find the anti-log (recall A = eln A) of the intercept and record your experimental determination of a. Finally, summarize your experimental results by writing an empirical equation of the form of eq. 1T = a · Dn
where a and n are the experimental values determined from your graph. Does your empirical value of
n agree with your prediction? Try to interpret the meaning of the constant a by comparing your
experimental results with the equation for a simple pendulum (found in your textbook).