Uploaded by Bongi Mtwa

Simple Harmonic Motion

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1. Simple Harmonic Motion (SHM)
The deliverable for this practical is a full report.
Learning objectives:
• Perform a Type A evaluation of uncertainty with the method of least squares (LinearFit).
• Calculate uncertainties from a sum of variables.
• Calculate uncertainties from correlated variables.
• Calculate uncertainties from a product of variables
• Build on your excel skills and experience
.
4.1 Aim
Your task is to design and perform an experiment to verify the relationship between the period of
oscillation of a mass on attached to a spring (or elastic band) and the magnitude of the mass. You will
use this relationship to determine a value for the spring constant k of the spring (or elastic band).
4.2 Introduction
You are supplied with a spring hanging from a retort stand, a series of masses, a metre rule and a timer.
Spend several minutes exploring the function of the equipment: With a mass attached, pull down gently
on your spring to set it oscillating. What happens to the oscillations when you add mass?
Recalling equation 1-1 for Hooke’s Law, if a mass hangs at rest at the end of a spiral spring, the upward
force exerted by the spring on the mass exactly balances the downward gravitational force acting on the
mass. The mass is said to be in ‘equilibrium’ and we refer to this position as the ‘equilibrium position’.
If the mass is pulled down slightly from its equilibrium position and released, it will oscillate about its
equilibrium position as the net force always acts to try to restore the mass to its equilibrium position.
This oscillation is called simple harmonic motion (SHM), and the period T is given by:
𝑝
𝑇 = 2𝜋√ .
𝑘
Eqn. 4-1
Note that we use p for mass here so as not to confuse it with m for slope (see later).
Your task is to perform an experiment to verify the above relationship between the period of oscillation
of a mass on a spring and the magnitude of the mass, and to use this relationship to determine a value
for the spring constant. Additional instructions are included below to guide you through the experiment,
and you can add your own steps if necessary. After completing the experiment, prepare a full report on
the experiment and its results.
A part of the spring is also undergoing oscillations, and if it has a non-negligible mass pī‚ĸ, this will also
affect the period of oscillation. We can correct for this effect by replacing p in equation 4-1 by the
effective mass P, given by:
1
𝑃 = 𝑝 + 𝑝′ .
3
Eqn. 4-2
You can research online or in a textbook for an explanation as to why this is a reasonable correction to
make.
Then the period of oscillation is given by:
𝑃
𝑇 = 2𝜋√ .
𝑘
Eqn. 4-3
4.3 Method
Attach one, or a combination, of the cylinders to the spring, pull it down slightly and set it oscillating.
Record the time taken for 20 (small amplitude) oscillations. Tabulate at least six pairs of readings (i = 1,
2, …, 6, …) of period 20𝑇𝑖 and mass 𝑃𝑖 by using combinations of the four given masses and the nonnegligible mass of the spring. When masses are combined, the uncertainty in the combined mass will
not be the same as the uncertainty for an individual mass piece.
The mass of each of the four metal cylinders you will use has been printed on the cylinder. The
standard uncertainty in the given value of each cylinder is ± 0.61 g. Use the triple beam balance to
determine the mass of the spring 𝑝′ ± đ‘ĸ(𝑝′ ).
4.4 Analysis
Linearise equation 4-3 and decide which variables to calculate to plot a graph of đ‘Ļ vs. đ‘Ĩ to determine
the spring constant, 𝑘, from the gradient of the graph. Determine the uncertainty for each variable, for
each of the readings you took; đ‘ĸ(đ‘Ĩ𝑖 ) and đ‘ĸ(đ‘Ļ𝑖 ).
Use the program Straight Line Fit to determine the slope 𝑚 ± đ‘ĸ(𝑚) and the intercept 𝑐 ± đ‘ĸ(𝑐) of the
best fit line for the graph, and include the uncertainty for each variable as a weighting. Include the
Straight Line Fit results in your report. Make sure to the label the graph appropriately with a title and
axes titles.
Use the slope of the graph slope, 𝑚 ± đ‘ĸ(𝑚), that you got from Straight Line Fit to calculate the spring
constant 𝑘 ± đ‘ĸ(𝑘). Be careful to propagate your uncertainties carefully.
4.5 Discussion and conclusion
Report the final result of your measurement carefully: 𝑘 ± đ‘ĸ(𝑘) N m-1.
Consider the following questions when you write your conclusion:
• How does this result for 𝑘 compare to the value you got when you did the Hooke’s Law
experiment?
• Was the value you got for the y-intercept as expected?
• How could you improve the result of the experiment if you repeated this practical?
There is a rubric attached which you should attach to the front cover of your report. The marker
of your report will use it when your report is assessed
University of Cape Town : Department of Physics : PHYLAB1
Assessment scheme for “SIMPLE HARMONIC MOTION” practical
Student surname: ______________________
______________________
Marker name: _________________
_________
Student number:
Date marked: _____________ Mark (ex 20)
The purpose of your laboratory practicals is to teach you skills in measurement science. Please
reflect on what skills you learnt today and complete this table, then include this with your report
for marking.
Main skills covered in this practical:
Marke
r
Assess
Max
Score
Introduce a report
īƒ— Include a brief aim and introduction of the experiment.
īƒ— Draw a simple set-up diagram; describe the method concisely.
(4)
Perform an experiment
īƒ— Measure 20T with a timer for at least 6 combinations of masses.
īƒ— Measure the mass of the spring, 𝑝’, with the triple beam balance.
(2)
Data analysis
īƒ— Present data in table form according to the general rules.
īƒ— Linearise equation 4-3.
īƒ— Calculate appropriate values of đ‘Ĩ and y.
īƒ— Plot a graph by hand of đ‘Ļ against đ‘Ĩ.
īƒ— Present the graph according to the general rules.
īƒ— Use Straight Line Fit to determine the best fit parameters.
īƒ— Determine the value of the spring constant, k.
(6)
Evaluate uncertainty
īƒ— Perform a Type B evaluation of uncertainty to find đ‘ĸ(20𝑇).
īƒ— Perform a Type A evaluation of uncertainty to find đ‘ĸ(𝑚).
īƒ— Calculate the uncertainties đ‘ĸ(đ‘Ĩ𝑖 ).
īƒ— Calculate the uncertainties đ‘ĸ(đ‘Ļ𝑖 ).
īƒ— Calculate the uncertainty đ‘ĸ(𝑘).
(4)
Conclude a report
īƒ— Report your final result; 𝑘 ± đ‘ĸ(𝑘).
īƒ— Refer back to the aim of the experiment.
īƒ— Compare your result to the given value for k.
īƒ— Comment on the value of the y-intercept.
īƒ— Propose ways to improve the experiment.
(3)
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