Lab Report 2_ Determining g on an incline

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Investigating the Acceleration due to Gravity on an Inclined Plane PCS 120
Introduction The objective of this experiment is to determine the value of g by investigating the acceleration due gravity at several different inclines. The core data collection of the investigation will be recorded using a motion sensor and the software Logger Pro which will graph the movement of the vernier cart on the incline at different angles. Theory When an object is moving due to the influence of the force of gravity, it is considered that the object is in free fall. According to Galileo, any two objects in free fall, regardless of their masses will have the same acceleration (Knight, 2016). The magnitude of free fall is denoted by a 𝑎 special symbol g , a value which by definition is always positive. The value of g simply represents magnitude, it is oftentimes referred to as the acceleration due to gravity; depending on the situation, a y = a free fall = -g , on earth g = 9.8m/s 2 . When further elaborating on motion on an incline plane as represented in Figure 1 , the free fall acceleration is broken into two pieces as 𝑎 free fall will just point straight down. The two vectors include ll and the vector , in this case 𝑎 𝑎 vector parallel to the incline will be responsible for accelerating the object. The magnitude of 𝑎 free fall is g , and ll is the opposite of (angle formed by the incline) therefore the magnitude of 𝑎 θ 𝑎 ll must be g sin (Knight, 2016). Therefore, the acceleration along an incline is represented by θ the equation a s = g sin . In addition, the force of gravity acting on the vernier cart on an incline, θ air resistance or friction in this case will have a very small impact on heavy objects resulting in slight error explaining why the magnitude of g may not be exactly 9.8 m/s 2 but relatively close to the calculated 9.8 m/s 2 . 1
Procedure This tutorial helps to perform and collect data to investigate the value of g , by calculating the acceleration due to gravity from a vernier cart accelerating down various inclines. Ensure to have the LoggerPro software downloaded on a computer along with the LabPro motion sensor, a vernier cart on an aluminum track set on incline set in place by a resort stand with a clamp along with a metre stick. Make sure the LoggerPro software is launched and the LabPro unit is connected to the computer, the rainbow symbol in the top left of the screen indicates that the unit is connected. The connected motion sensor measures the physical motion of the vernier cart down the incline plane and the data is interpreted by the LoggerPro software. The incline of the aluminum track is adjusted so that height 1 at the bottom of the incline is 5cm and height 2 at the top of the incline measures 12cm, the metre stick is also used to measure x (102cm) which represents the total length of the incline. Angle is calculated using θ the equation and recorded as data for trial 1. θ = 𝑠𝑖𝑛 −1 ( ∆ℎ 𝑥 ) The sensor is opened and facing the direction of the track and the start button is clicked on the LoggerPro software and the cart is released when the motion sensor makes a ticking sound. The sensor will record data for 5 seconds and once the noise stops the data collection is complete. There are two graphs computed by the LoggerPro software, to save and plot the data the collect button is pressed. A total of 3 runs are recorded for each incline to make sure there are multiple trials to ensure ample amounts of data is present giving the most accurate results. The whole process is repeated for a total of 5 trials each at a new incline and each incline must have 3 runs resulting in a total of 15 data sets stored. For each trial only height 2 is changed from 12cm, 16cm, 19cm, 22.7cm and 28.5cm respectively; height 1 (5cm) and x (102cm) remain unchanged. The file is exported as a CVS, so that the data can be downloaded as an excel spreadsheet, where the trials are used to create acceleration-versus-angle graphs that capture specific portions of the trial where details such as the line of best fit, R 2 value and error bars are added. Results and Calculation Below are some numerical values, graphs, and calculations to make the recorded data easier to understand and interpret. The effect of gravity on an object moving over an inclined plane will be investigated using formulas discussed in the theory section. 2
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Figure 1: Average acceleration of each trial plotted with its corresponding angle Trial h 1 (cm) h 2 (cm) Δh(cm) x(cm) Angle(°) Sample Calculations 1 5 12 7 102 3.935 Δh= h 2 /h 1 = 12/5 2 5 16 11 102 6.190 = 7 3 5 19 14 102 7.889 sin θ = opp/hyp = sin^-1(7/102) 4 4.7 22.7 18 102 10.164 = 3.935 5 4.5 28.5 24 102 13.608 Table 2: Calculations for Δ h and θ Table 1: Height, distance, and angle measurements for each trial Trial Angle(°) Average acceleration ( m/s 2 ) Uncertainty (mm) ± Standard Deviation 1 3.935 -0.4078211 0.5mm ± 2.6095952 2 6.190 -0.3629821 0.5mm ± 2.62371619 3 7.889 -0.3024086 0.5mm ± 3.48433073 4 10.164 -0.2318106 0.5mm ± 4.20047869 5 13.608 -0.1382338 0.5mm ± 4.87454672 Table 3: Average acceleration, angle, and standard deviation for each trial 3
The tables and figures above show the general measurements of every trial, as well as one graph showing the relationship between each trial’s average acceleration and their angle. There is a clear increase in the acceleration as the angle increases, which is expected. The end goal is to achieve a value of 9.8 when x= 90. The average acceleration’s were determined by omitting any values before the cart was released and after it bounced off the end stopper. This ensures that the data being analyzed is only from the times of interest as the cart is sliding down the ramp. From there, all the acceleration values were averaged out. Then, the averages were tabulated alongside the angle corresponding to it and it’s standard deviation. The standard deviation for the entire experiment resulted to be 3.5525 by using all the acceleration values from each trial. One method of finding g is by following the formula g= a/sin . An example of this using θ trial 1 would result in a g value of 5.943 m/s 2 . With the standard deviation from trial one, the calculated gravity could lie between 3.3334048 m/s 2 and 8.552 m/s 2 . This is the simplest way to calculate the force of gravity. Below is a more detailed graph of Figure 1 where error trendlines have been added. Theoretically, when the lines reach x=90 representing sin90, the distance between one of the error trendlines and the acceleration trendline should equal 9.8 with standard deviation accounted for. Grey line at sin90 (x=90) is 2.8292 Acceleration trendline at sin90 is 2.0545 Orange line at sin90 is 1.1482 d1= 2.8292 - 2.0545 =0.7747 m/s 2 d2= 2.0545 - 1.1482 = 0.9063 m/s 2 4
Taking the highest value and adding the average uncertainty value (3.5525) gives a g value of 4.45884 m/s 2 . Discussion and Conclusion The purpose of this lab was to determine the value of g through running experiments by observing the acceleration of a cart over a ramp. The results shown above provided two methods of deriving g. One through trigonometry and the other through graphing methods. The results from the trigonometric method yielded results of 5.943 m/s 2 ,which is closer to the expected value of 9.81 m/s 2 . This is most likely due to the fact that there is friction involved between the cart and the ramp, especially after heavy use when the materials begin to wear down. Using the graphs and the line equations to find g when the angle is 90, the results given were 0.9063 m/s 2 ± 3.5525 resulting in a maxim potential acceleration of 4.45884 m/s 2 . Although there was friction involved, the two methods of determining g provided two different results that are still reasonably close to 9.81. Any disparities in the calculations can be attributed to friction as mentioned before, but also mechanical errors such as the cart derailing, thus adding extra forces to the cart that are not accounted for. As the angle grew, the effect of the cart’s instability greatly increased as observed by multiple trials having skewed carts sliding down the ramp. This effect can clearly be seen through the standard deviation increasing as the angle increases. In the appendices there are the calculated values of g using trigonometry and each value ends up being around 5.72 m/s 2 . In future experiments following this one, ensure that the track has minimal friction and that the cart is stable as it goes down the ramp. 5
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References Knight, R. (2016, January 4). Physics for Scientists and Engineers: A Strategic Approach with Modern Physics (4th ed.). Pearson. 6
Appendices Time Trial 1 Trial 2 Trial 3 Average of trial 1: -0.2403863 m/s 2 0.35 2.64009429 Average of trial 2: -0.167102 m/s 2 0.2 2.60240664 Average of trial 3: -0.0814579 m/s 2 0.45 1.91270139 2 0.5 1.46150818 Average of the averages: -0.1629821 m/s 2 0.55 2.68222824 1.28021574 0.6 1.96558056 2.77231867 0.8447963 Standard deviation of the values: 3.06611217 0.65 1.46076713 2.58361574 0.1474159 0.7 1.25009738 1.81128349 -0.0268366 0.75 0.83669769 1.38311574 0.55361682 0.8 0.15747299 1.21590324 1.10405772 0.85 -0.0636773 0.6803892 1.18435571 0.9 0.51375895 0.01185679 1.0261946 0.95 1.09770586 0.08633225 0.8847071 1 1.19097222 0.68165957 0.831775 1.05 1.05218426 1.09791759 0.83346883 1.1 0.92911713 1.15021451 0.82902253 1.15 0.85956435 1.02545355 0.80197423 1.2 0.82134738 0.91943056 0.72262901 1.25 0.80684398 0.8604642 0.41117654 1.3 0.79366389 0.83357469 -0.7855123 1.35 0.73003951 0.8088554 -3.6587725 1.4 0.43388441 0.78212469 -7.8311452 1.45 -0.7534884 0.70293827 -9.6433815 1.5 -3.6548556 0.36623719 1.55 -8.0988758 -0.9103262 1.6 -10.299528 -3.9618088 1.65 -8.384021 7
Time Trial 1 Trial 2 Trial 3 Average of trial 1: -0.2403863 m/s 2 0.35 2.64009429 Average of trial 2: -0.167102 m/s 2 1.7 -10.360876 Calculating g with trigonometry Trial 2: 3.366 m/s 2 ± 2.62371619 +-> 5.9897 m/s 2 Trial 3: 2.203 m/s 2 ± 3.48433073 +-> 5.6873 m/s 2 Trial 4: 1.314 m/s 2 ± 4.20047869 +-> 5.5144 m/s 2 Trial 5: 0.588 m/s 2 ± 4.87454672 +-> 5.4621 m/s 2 Average of all trials: 5.7193 m/s 2 8
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