Physics Lab 4

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University of Rhode Island *

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361

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Physics

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Dec 6, 2023

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Physics Lab 4 Names: Shri Patil, Ethan Pereira, Sean Kim, Jimmy Ding Introduction: In this lab we will be testing the work done on the IOLab device as it rolls across the table. To roll the device, it will be attached to a block of wood hanging off of the edge of the table. The block and device have a tied string that connects them to each other. The block will be released and be allowed to fall down. This will drag the IOLab device along with it, which will roll about 30 cm before it will roll off the table. The total work done on the device will be calculated in two different ways. One will be done by using the definition of work that says work is equal to the net force times the displacement. The force of the moving IOLab device and the distance it moves(30 cm) will both be used to find the work done. The second way will use the Work Energy Theorem, which says that the net kinetic energy is equal to the net work done by an object. With this method, the velocity of the IOLab device and its mass will be used to find the work done, since the kinetic energy of an object is equal to ½ * mass of the object * (velocity of the object) 2 . Once these two values for the work done by the IOLab device are found, they will be compared with each other to see how close they will be. The first method requires that the friction of the IOLab device as it moves across the table be taken into account to find the work done. However, it will be ignored in this experiment. If the two methods give similar values for the work done, then the claim that “the friction in the wheel of the IOLab is small enough that it can be ignored in the first method” will be proven true. An assumption like this should be tested, because the net work done by the IOLab device using only the first method might be much higher or lower than the correct value if friction had a significant effect on the net force of the IOLab device. o Discuss the reasoning that might lead someone to make this claim. o Why might it be important to test an assumption like this? Methods: 1. Setup the IOLab on a table so that the force probe is tied to a string which has a block on the other end that hangs off a table (diagram shown to the left), have a test run and properly zero the device. 2. Place a ruler next to the IOLab, and place the IOLab 30 cm away from the edge of the table 3. Release the block which is hanging from the table, and let the IOLab roll the 30 cm to thee edge of the table 4. Measure the force in N that the force probe registers in the IOLab Software and find the average over the 30 cm it displaced IOLab device Wooden Block String
5. Then plug in the average into the equation W net = Fd where F is the average force acting on the IOLab Probe, and d is 30 cm 6. Next, repeat steps 1,2, and 3, except this time the ΔKE = W net equation will be used. 7. Since the v 0 is 0 because the IOLab is still, we can say that W = 0.5mv 1 2 8. When the block is released, measure the velocity from the wheel sensor in the IOLab software, and record the velocity the instant that the IOLab is at the edge of the table (you look at when the position wheel sensor indicated 30 cm traveled and take that timestamp respective velocity) 9. Plug velocity into the W = 0.5mv 1 2 to find the Work done on the IOLab 10. Compare the Work magnitudes from both the approaches and note discrepancies. Because of the existence of the work energy theorem, it is expected to see the two work magnitudes to be very similar (not probable it's going to be exactly the same due to errors)
Results: Trial 1 Trial 2
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Trial 3
Trial 4
Trial 5
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Trial 6
Analysis
Force/N Work eqn 1 J Max Velocity/m·s -1 Work eqn 2 J Trial 1 -0.693 -.2079 -1.267 -.1605 Trial 2 -0.738 -.2214 -1.215 -.1276 Trial 3 -0.685 .2055 -1.271 -.1615 Trial 4 -0.792 .2376 -1.187 -1.408 Trial 5 -0.718 .2154 -1.165 -.1357 Trial 6 -0.750 .225 -1.129 -.1275 Equation 1: W net = F net * Δ x Equation 2 = W net = Δ KE , KE = ½ mv 2 Average force = (-0.693 - 0.748 - 0.685 - 0.792 - 0.718 - 0. 750)/6 = -0.731 N Average velocity = (-1.267 - 1.215 - 1.271 - 1.187 - 1.165 - 1.129)/6 = -1.206 m/s Eqn 1 W net = -0.731 N * 30 cm = -0.731 N * .30 m = 0.2193 J Eqn 2 W net = Δ KE = KE f - KE i = ½ (0.2 kg) (-1.206 2 ) - ½ (0.2)(0 2 ) = 0.1454 J T’ comparison test Standard Deviation Eqn 1 = (.225 - 0.2055) / 2 = .00975 Standard error of Eqn 1 = 0.0975 / √(6) = 0.00398 Standard Deviation of Eqn 2 = (.1605 - .1275) / 2 = 0.033 Standard error of Eqn2 = 0.033 / √(6) = 0.013472 T’ = |0.1454- 0.2193 |/√(0.033 2 - 0.00398 2 ) = 2.256 Conclusion: By using the mean and uncertainty of the force data during the IO Lab’s acceleration, the t’ value can be found. The t’ value of the data is 2.256. With the t’ prime value it can be concluded that the values likely happened if the parent distributions were the same. Therefore the variance in the value of work done is within the expected range and it can be concluded that the friction from the IOLab is negligible. The first method and second method yielded the same results, and the variance between the force was due to both the methods used and general experimental uncertainty. Both forces calculated were around .14 to .2 joules of work done. While we can be relatively confident that friction between the IOLab wheels is negligible, since the t’ value is somewhat high at 2.256, there's a chance that a small amount of friction is affecting trial 2’s results. However, this is again unlikely as the t’ prime is below 3. Ultimately the t’
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value accounts for general variance between methods and allows for more accurate comparison of data, then just comparing the averages. When average force is compared, it seems like friction had an impact with a .07 difference in the work between method one and 2. But the t’ value factors in the varying ranges of values and allows for the correct conclusion that ultimately friction in the wheels of the IOLab is small enough that it can be ignored in equation 1. Work done by each person: Shri: Introduction Sean: Collection of Data, Results, Analysis Ethan: Methods Jimmy: Conclusion, Results