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Modelling Damping for a Pendulum

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Modelling Damping for a Pendulum Modelling Damping for a Pendulum Sherman Ipa Department of Physics and Astronomy, University College London Date submitted 17th December 2010 In this investigation, two models for damping on a pendulum, dry and viscous, were tested to see which model is better by testing their correlation using experimental data of a ‘bob on a string’ oscillator. It was also investigated how much damping the pendulum undergoes was effected. PHAS 1240 Sherman Ip PHAS 1240 Sherman Ip I. INTRODUCTION This means the amount of viscous damping depends on the mass and length of A pendulum undergoes simple harmonic the pendulum. For a pendulum which motion if no external forces act on the undergoes viscous damping, its angular pendulum. As a result the pendulum’s amplitude is modelled as shown in Eq. (4).1 angular displacement is modelled as a function of time, assuming the pendulum (4) (angular amplitude α, retains its angular amplitude and starts its initial angular amplitude oscillation at its angular amplitude as shown A, viscous damping in Eq. (1).1 constant b, time t, moment of inertia I) (1) (angular displacement θ, angular amplitude A, Dry damping suggests that the angular frequency f, time t) amplitude decreases linearly and modelled as shown in Eq. (5).1 Eq. (1) can be rewritten in terms of angular frequency rather than frequency as (5) (angular amplitude α, shown in Eq. (2).1 initial angular amplitude A, dry damping constant τ, time t, angular (2) (angular displacement frequency ω, moment of θ, angular amplitude A, inertia I, time period T) angular frequency ω, time t) By analysing the correlation between the However if an external force acts on the angular displacements with time, it can be pendulum, this model is not suitable because determined which model is a better model the pendulum will undergo damping. As a for the pendulum. To determine which result, the pendulum’s angular amplitude model is a better model is important because decreases over time due to the total energy it will be useful to model further and future of the pendulum is being transferred to the simple harmonic oscillators. surrounding environment. Eventually the It was concluded that viscous damping pendulum will lose all of its energy and stop was a better model but however it was very oscillating.1 hard to determine if the amount of viscous Two kinds of damping will be damping is related to the moment of inertia investigated in this investigation to see as a result of a significant amount of error in which model best suits the pendulum which the results. undergoes damping. Viscous damping suggests that the II. METHOD angular amplitude decreases exponentially A ‘bob on a string’ pendulum was used in over time which depends on the moment of this investigation. The basic set-up is shown inertia. For a bob on a string pendulum, the in Fig. 1. moment of inertia is defined in Eq. (3).1 (3) (moment of inertia I, mass m, length of string l) PHAS 1240 Sherman Ip of its damping will be calculated using least ‘bob’ Protractor square fittings, assuming the damping Paper with mirror cone constant is independent on the mass of the bob. Clamp III. RESULTS String The angular amplitudes over time for each bob were recorded and as shown in Graph 1. Judging by eye, it could be Fig. 1. Set up of bob on a string pendulum. determined that the angular amplitude for all The string of length (60.0 ± 0.5) cm and 3 types of bobs decreased exponentially, different spherical bobs were used: steel however the Pearson’s correlation with mass (57.40 ± 0.05) g, brass with mass coefficient for linear regressions for the two (69.50 ± 0.05) g and plastic with mass types of damping model must be determined (10.30 ± 0.05) g. to confirm which model is better. The An initial angular amplitude of 25° was Pearson’s correlation coefficient was used for every oscillation; this was calculated and as shown in Table 2. determined by using the protractor. The paper cone was used to increase the amount Graph 1: Angular Amplitude and Time for of damping which should make it significant the 3 Types of Bobs in the results. 25.0 For each type of bob, the angular amplitude for the: 1st, 2nd, 3rd, 4th, 5th, 10th and 20th period was measured using the 20.0 protractor as shown in Fig. 1., using the mirror to prevent parallax error, and 15.0 recorded 5 times to determine the mean and standard deviation of time and angular 10.0 amplitude. The Pearson’s correlation coefficient, r, was determined for the following linear / degrees amplitude Angular 5.0 graphs as shown in Table 1, which was derived from Eq. (4) & Eq. (5). 0.0 0.00 10.00 20.00 30.00 40.00 Dry damping Viscous damping Time / s Steel Brass Plastic Table 1. Linear regressions for the two damping Bob Dry Viscous Critical value models. Steel -0.9713 -0.9941 -0.8329 Their Pearson’s correlation coefficient Brass -0.9771 -0.9913 -0.8329 was tested and compared to see which one Plastic -0.9085 -0.9861 -0.8329 of these models had the best correlation. Table 2. Values of Pearson’s correlation coefficient After determining which model is the best, of the two damping models with the critical values at the model will be accepted and the constant the 1% significant level.2 PHAS 1240 Sherman Ip Both models have a good value of the Graph 2 : Linear Regression to Work Out b Pearson’s correlation coefficient, much 0.080 bigger than the critical value at the 1% significant level in terms of magnitude, so in 0.070 general both models are suitable in this case. 0.060 However the viscous damping model’s correlation coefficient was much bigger than 0.050 the dry damping model’s correlation coefficient, in terms of magnitude again, so 0.040 it was concluded that the viscous damping sˉ¹ /B model was a better model than dry damping 0.030 model because the viscous damping had a 0.020 stronger correlation than dry damping from the experiment data, as expected from our 0.010 judgment from our eyes. The viscous damping model was 0.000 0.000 50.000 100.000 150.000 accepted and the viscous damping constant 1/2I / kgˉ¹.mˉ² was calculated by creating a linear regression with the gradients of the linear regression for viscous damping from Table r Critical value one and the reciprocal of twice the moment 0.9867 0.9877 of inertia, as shown in Eq. (6). Table 3. The value of Pearson’s correlation (6) (gradient of linear coefficient for Graph 2 with the critical value at the regression for viscous 5% significant level.2 damping from Table 1 B, moment of inertia I, viscous damping constant b) IV. CONCLUSION It was concluded from the experiments The linear regression of Eq. (6) is as that the angular amplitude decreased shown in Graph 2. The value of b was exponentially over time rather than linearly, worked out to be kg.m².sˉ¹ as a result the viscous damping model was using Graph 2, which was very imprecise accepted. because the error corresponds to a However it was calculated that there was percentage error of 67%, therefore no relationship between the reciprocal of unacceptable. As a result the correlation was twice the moment of inertia with the viscous tested using the Pearson’s correlation damping constant at the 5% significant level coefficient as shown in Table 3. which concluded that the model was not A hypothesis test was conducted on the perfect yet or the data set used was not Pearson’s correlation coefficient for Graph 2 suitable. and it was concluded that there was no The Pearson’s correlation coefficient was relationship between the reciprocal of twice only 0.001 under the critical value so it was the moment of inertia with the viscous suggested that the viscous damping model damping constant because the correlation of was not completely wrong or that there Graph 2 is not significant at the 5% wasn’t enough readings and could have used significant level. PHAS 1240 Sherman Ip more masses; 3 readings is the minimum to The readings of the angular amplitude conduct a correlation hypothesis test. could be measured with less error if a The main cause of error in the value of b, capacitive angular displacement transducer the vicious damping constant, was due to was used rather than reading the angular error in finding the gradient of the linear displacement using a protractor from eye. regression from Graph 2 which was brought The capacitive angular displacement forward by the error in the gradient of the transducer can read the angular displacement linear regression of viscous damping from of the pendulum to more precision hence Table 1, mainly due to error in the angular reduce the error in the angular displacement, amplitude. As a result, the error in reading as a result the error in b, the viscous the angular amplitude was probably the damping coefficient, will reduce and should likely cause of impreciseness and damage to create a better correlation for Graph 2. the correlation of Graph 2. a E-mail: [email protected] 1 UCL Department of Physics and Astronomy, Experiment NX2 Modelling Pendulum 2 OCR, Advanced General Certificate of Education, MEI Structured Mathematics, Examination Formulae and Tables, (MF2, CST251, January 2007) PHAS 1240 Sherman Ip .
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