Linear Motion & Galileo The following is adapted with permission from the University of Dallas Fall ‘01 General Physics I Laboratory Manual, Adaptation: John Boehringer When Galileo introduced the concept of uniform acceleration, he defined it as equal increases in speed in equal intervals of time. This experiment is similar to the one discussed by Galileo in his book, Dialogues Concerning Two New Sciences, in which he assumed that a ball rolling down an incline accelerates uniformly. Rather than using a water clock, as Galileo did, you will use a motion detector and computer. This will enable you to obtain very accurate measurements with a high degree of precision. From these measurements you should be able to decide for yourself whether Galileo’s assumption was valid or not. Perhaps more significantly, indeed counter to majority thinking at the time that lingers as common misconception today, Galileo further argued that objects of different sizes and weights would accelerate at the same rate under the influence of gravity. Of course, the idea of gravity as Newton would codify it did not exist at the time, and Galileo was careful to place his observations in the content of his experiment alone. We now know that there were many much broader implications to his work. Speed was very difficult for Galileo to measure. He used instead two quantities that were significantly easier to obtain: total distance traveled and elapsed time. In this experiment your use of a sonic motion probe will eliminate this barrier, allowing you to calculate instantaneous speed at many points down the incline. The data that you acquire in one trial will be far greater that Galileo was able to obtain over many, many successful experiments. Problem How can you determine the acceleration of a cart moving down an inclined plane? How do you know if that acceleration is constant? What kind of algebraic functions describe the velocity as a function of time and acceleration as a function of time? Materials Windows PC Lab Pro Interface Vernier LoggerPro software Vernier Motion Detector Pasco Dynamics bench w/ cart (or ball) Preliminary Questions (Answer these BEFORE you begin.) 1. List and explain (if necessary) some observations that led people of Galileo’s time to believe that heavier objects fall faster than lighter objects. 2. Drop a small ball and a large ball from the same height at the same time. Did that large one hit first, last or at the same time? If you assume both balls were the same mass, which one should hit first and why? 3. What would happen if you again simultaneously dropped two identical balls, but this time held one ball about 30 cm above the other, releasing them at the same time. Would the distance between the balls increase, decrease or remain the same? Why? Since the fall is short you can see why people in earlier times had difficulty with this and other questions of motion. Procedure 1. Connect the motion detector to the LabPro interface and the interface to the PC. 2. Place the motion detector on its long side, pointed down a 1 to 3 m long incline. The incline should be between 5 and 10 degrees with the horizontal. Usually one text book is enough to prop up the ramp sufficiently. 3. Prepare the computer for data collection by opening “Exp03” from the Physics with Computers experiment files Logger Pro. Two graphs should appear on the screen. On the top graph the vertical axis has distance scaled from 0 to 3 meters. The second graph has velocity scaled from 0 to 2 m/s. The horizontal axis of both graphs is the same time interval from 0 to 3 s. 4. Position a dynamics cart (or ball) about 0.4 m down the incline (remember the motion detector cannot sense objects much closer than this). 5. Click Collect to begin data collection. Release the cart when you hear the sensor begin to click. 6. Repeat the procedure if you are not satisfied with your results. Print or accurately (i.e., with a ruler) sketch your graphs of distance versus time. 7. Click on the velocity vs. time graph. Click on the Examine tool on the toolbar. Move the cursur to a point about one-fourth of the way down the incline. Record, in the data table below, the value of time and velocity at that point. Starting from that point, record time and velocity data for every 0.2 seconds until you have recorded ten points or until you read the point that corresponds with the end of the acceleration. Data Point 1 2 3 4 5 6 7 8 9 10 Slope of v-t graph Average acceleration Time (s) Data Table Speed (m/s) Change in speed (m/s2) Drawing Conclusions 1. Calculate the change in speed between each of the points in your data table above. Enter these values in the right column of your data table. 2. Galileo’s definition of uniform acceleration is equal increases in speed in equal intervals of time. Does your data support of refute this definition for the motion of an object on an incline? Explain. 3. Was Galileo’s assumption of constant acceleration down an incline valid? How does your data support this conclusion? 4. Calculate the average acceleration of the ball between the first and last time recorded (t1 and t10) using your data and the definition of average acceleration: v v final vinitial a t t final tinitial Record in your table. Making a Mathematical Model 1. Does the distance versus time graph appear to be a simple algebraic curve? Which curve or line? Try fitting various functions to the portion of the data corresponding to the free rolling by dragging across that time interval and clicking the Curve Fit button. Select a function by scrolling the list and click Try Fit to replot and see how well the function fits the data. Choose the most simple function that fits best (there may be several, take the lowest order function) and click O.K. to place that fit in the main graph window. Record both the equation and parameters of the fitted equation. Print or accurately sketch the graph. Include the curve fit and parameters. (Write your equation and parameters HERE) 2. Similarly, does the velocity versus time graph appear to follow a simple algebraic curve? Using the process above, choose the simplest function that fits the data well and record the parameters of the fitted equation. Print or sketch the graph with the curve fit information. (Write your equation and parameters HERE) 3. Look at the curve fit equation for the distance versus time graph. How does the constant coefficient of the t2 term in this curve relate to the slope of the velocity versus time graph? 4. Now Look at the curve fit equation for the velocity versus time graph. Does the fitted function have a constant slope? What does that slope mean? What are its units? Record in the data table. 5. Recall Newton’s kinematics formula x(t) = x0 + v0t + ½at2. Consider your answers to numbers 3 & 4, above. Do your coefficients reflect this same relationship? Assessing 1. Suppose you were to repeat the experiment many times and each time you elevated the track even more. Would you expect the values you measure for average acceleration to increase, decrease or remain the same and why? 2. What value would the average acceleration approach as the angle of the incline neared 90 degrees? 3. Two identical carts, A and B, roll down the same track. Cart A starts slightly higher up the track than B. The carts are released at the same instant. Would you expect cart A to catch up to cart B? Explain your reasoning and include support from your lab. Two identical carts, C and D, roll down identical tracks that are inclined by the same amount. The carts start at the same position on the tracks. Cart C is released first, then one-half second later cart D is released. 4. Which cart would you expect to have greater acceleration down the track? Why? 5. Which cart would you expect to reach the bottom of the track first? Why? 6. Do you think the distance between the carts as they roll down the incline in this new scenario will increase, decrease or remain the same? Try it if you are uncertain. Explain what you see. Extending Start the cart at the bottom of the incline and roll it upwards gently, let it stop and roll back down. Use the sensor. Compare the up and down motions of the cart. Do your conclusions established in the lab still hold? Explain.