# Up and Down: Damped Harmonic Motion

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1 Up and Down: Damped Harmonic Motion Activity 27 An object hanging from a spring can bounce up and down in a simple way. The vertical position of the object can be described mathematically in terms of a simple sinusoidal equation. In the real world, however, resistive forces such as friction are always present and cause the object to slow down. This effect is called damping. Most oscillating objects experience damping and move in a modified periodic manner so that the amplitude gets smaller and smaller with each cycle. Common examples of damped oscillators include an empty rocking chair as it comes to rest after being pushed and a vibrating diving board after a swimmer leaves it. At first, the problem of modeling this type of motion with a mathematical equation may seem extraordinarily complex. Surprisingly, it can be analyzed rather thoroughly using basic math concepts with which you are already familiar. In this activity, you will collect motion data as a paper plate attached to a light spring oscillates up and down above a Motion Detector. Then, you will find an appropriate mathematical model for the resulting data set. OBJECTIVES Record the motion data for a plate bouncing at the end of a light spring. Analyze the motion data to determine frequency, period and amplitude information. Model the oscillatory part of the data using trigonometric functions. Model the damping using an exponential function. Create a composite model of damping and oscillation. Compare the composite model to experimental data. Real-World Math Made Easy 2005 Texas Instruments Incorporated 27-1

3 ANALYSIS 1. Redisplay the graph outside EasyData. Up and Down a. Press [STAT PLOT]. b. Press to select Plot1 and press again to select On. c. Press. d. Press until ZoomStat is highlighted; press to display a graph with the x and y ranges set to fill the screen with data. e. Press to determine the coordinates of a point on the graph using the cursor keys. 2. The graph shows several features, each of which you will model with an appropriate mathematical function. First, notice the envelope of the back-and-forth, or oscillatory, motion. The amplitude of the motion decreases in time in a regular way. You will model the time variation of the amplitude with one function. This oscillatory part of the motion can be modeled with a cosine y = Acos B x C, where function ( ( )) x is time in seconds, y is distance in meters, and A is the amplitude of the motion, or the largest distance above the center position. To estimate the amplitude parameter A, trace across the graph using the key to the first positive maximum. Record the y value as A in the Data Table on the Data Collection and Analysis sheet. Record this, and all distance values, to three significant figures. 3. The shortest time it takes for a repetitive motion to repeat itself is called the period. One way to find the period of the plate is to find the time between two successive maximum or minimum points. Continue to trace across the graph to determine the x values for two adjacent maximum or minimum peaks. Record these two values as t 1 and t 2. Calculate the difference, which is the period T, and record it in the Data Table. 4. The parameter C represents the horizontal shift of the cosine function. Since the cosine function has a maximum value when its argument is zero, the time when the data first reaches a maximum will serve as an estimate for C. Trace to the first maximum and note the time (x) value. Record this value as C in the Data Table. 5. To compare the model to the data, enter the model equation into the calculator. a. Press. b. Press to remove any existing equation. c. Enter the expression A * cos(b*(x C)) in the Y1 field. d. To make the model equation plot with a bold line, press until the diagonal line to the left of Y1 is highlighted. Press until the line is shown as a bold line. e. Press [QUIT] to return to the home screen. 6. The parameter A represents the amplitude of the waveform. Enter your value for the parameter A in your calculator s memory. To do this, enter the value for the amplitude from the Data Table. Press A to store the value in the variable A. 7. The sinusoidal model has a parameter B that represents the number of cycles the sinusoidal function makes during the natural period of the cosine function. Real-World Math Made Easy 2005 Texas Instruments Incorporated 27-3

4 Activity 27 Find B by taking 2π (the natural period of the cosine function) divided by the period T of the waveform (the time for one cycle). Store this value in the calculator after performing the division by pressing B to store the value in the variable B. Also record the value in the Data Table. 8. Enter the value of C from the Data Table, and press C to store the value in variable C. 9. You have now entered the model equation and values for the three parameters A, B, and C. Press to display a graph of the motion data with the cosine model equation. Answer Question 1 on the Data Collection and Analysis sheet. 10. Now that you have modeled the oscillatory part of the motion, turn off the plotting of the cosine model. a. Press. b. Press so that the = sign is highlighted; press to turn off plotting of the equation. c. Press [QUIT] to return to the home screen. 11. To model the time variation of the amplitude, you need to record the maximum values and their times in a temporary table of your own design. a. Press and then press to determine the coordinates of a point on the graph using the cursor keys. b. Record the x and y values of each maximum peak to three significant figures. Continue to trace and record until you have reached the end of the graph or until you reach six points. 12. To plot the points you just recorded, you need to enter them into new lists in the calculator. a. Press and press to see the data lists. b. Lists 2 and 3 are available for you to use. Use the cursor keys to highlight the L2 header, and press to clear the list. c. Press to move to the first element of L2 and then enter all of the time values, ending each entry with. d. Use and to move to the header of L3. Press to clear the list. e. Press to move to the first element of L3. f. Enter the maximum distance data values, ending each entry with. You must have the same number of elements in L2 as in L3 when you are done. If not, check the entries for errors and correct them. 13. Now that you have the data to be plotted stored in lists in the calculator, you are ready to plot just the peak values of the distance and time data. a. Press [STAT PLOT] and press to select Plot 1. b. Change the Plot1 settings to match the screen shown here. Press to select any of the settings you change. c. Press and then select ZoomStat (use cursor keys to scroll to ZoomStat) to draw a graph with the x and y ranges set to fill the screen with data Texas Instruments Incorporated Real-World Math Made Easy

5 Up and Down 14. The graph should show a gradual decay in the amplitude of the oscillations of the plate. To incorporate the decay into a model for the data, fit an exponential function to the amplitude curve. a. Press and use the cursor keys to highlight CALC. b. Press the number adjacent to ExpReg to copy the command to the home screen. c. Press [L2] [L3] to enter the lists containing the data. d. Press and use the cursor keys to highlight Y-VARS. e. Select Function by pressing. f. Press and to copy Y2 to the expression. g. On the home screen, you will see the entry ExpReg L2, L3, Y2. This command will perform an exponential regression with L2 as the x and L3 as the y values. The resulting regression equation will be stored in equation variable Y2. Press to perform the regression. h. Press to see the graph. 15. The new graph shows the maximum amplitude points and the fitted exponential function. To combine the exponential decay (often known as the envelope of the oscillations) with the oscillatory cosine model, you can define a new function that is the product of the cosine model and the exponential function. The cosine model includes the parameter A to represent the amplitude; the Y2 exponential function can replace the amplitude parameter to improve the model function. a. Press. b. The cursor will be flashing on the A variable in Y1. Press and press to highlight the Y-VARS menu. c. Press to display the function menu. d. Select Y2 to paste the Y2 function to the equation screen, replacing the A variable. e. Press until you highlight the Y2 function. Since you no longer need this part plotted, press until the = sign is flashing, and press to disable plotting of Y2. f. Record the composite model equation in the Data Table on the Data Collection and Analysis sheet, including both the exponential and oscillating parts. 16. Now you can view a graph of the final model plotted with the complete experimental data. a. Press [STAT PLOT] and press to select Plot 1. b. Change the Plot1 settings to match the screen shown here. Press to select any of the settings you change. c. Press and then select ZoomStat (use cursor keys to scroll to ZoomStat) to draw a graph with the x and y ranges set to fill the screen with data. Answer Questions 2 4 on the Data Collection and Analysis sheet. Real-World Math Made Easy 2005 Texas Instruments Incorporated 27-5

6 Activity 27 EXTENSIONS 1. What would a plot of velocity versus time look like for the damped oscillations you studied in this activity? Create a scatter plot of velocity versus time. 2. Use the numerical computation tools of the calculator to find a mathematical equation that models velocity as a function of time. How well does the modeling curve fit the data? 3. What would a plot of velocity versus position look like for a damped oscillator? Make a sketch of your prediction, and then create a scatter plot of velocity versus position. How can the mathematical models you created for position and velocity as functions of time be used to model the velocity-position data plot? Hint: You will need to set the calculator to parametric mode Texas Instruments Incorporated Real-World Math Made Easy

7 Activity 27 DATA COLLECTION AND ANALYSIS Name Date DATA TABLE A t 1, t 2 T B C composite model QUESTIONS 1. How well does your model equation fit the data? What aspect of the model fits the data? What aspect of the model does not fit the data? 2. How well does the final model fit the experimental data? Is it a good model? Describe the model equation in words, without specifying any numeric values. Real-World Math Made Easy 2005 Texas Instruments Incorporated 27-7

8 Activity (Optional) Modify either of the B or C parameters to improve the fit. Which variable improved the fit? What did you do to the variable to improve the fit? 4. List some physical characteristics of the oscillating mass that you think might affect the nature of the functions you used to model the data set Texas Instruments Incorporated Real-World Math Made Easy

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