9702/51

Physics 9702/51May/June 2020

Cambridge A-Level · Planning, Analysis and Evaluation · worked solutions for every part, with the mark scheme

2
questions
30
marks
75
minutes

Topics Analysis, Conclusions and Evaluation · Planning

Q115MPlanningAnalysis, Conclusions and EvaluationFree sample

A student investigates springs made of metal wire, as shown in Fig. 1.1.

The student constructs several springs from wire of thickness tt. Each spring has a different cross-sectional area AA.

The student investigates how the spring constant kk varies with AA.

It is suggested that the relationship between kk and AA is

k=βρt4A32Nk = \frac{\beta \rho t^4}{A^{\frac{3}{2}} N}

where ρ\rho is the density of the metal, NN is the number of turns of wire on the spring and β\beta is a constant.

Design a laboratory experiment to test the relationship between kk and AA.
Explain how your results could be used to determine a value for β\beta.

You should draw a diagram, on page 3, showing the arrangement of your equipment.
In your account you should pay particular attention to:

● the procedure to be followed
● the measurements to be taken
● the control of variables
● the analysis of the data
● any safety precautions to be taken.

DifficultyMedium-Hard
Worked solution

Diagram

Variables

  • Independent variable: spring cross-sectional area AA.
  • Dependent variable: spring constant kk.
  • Control variables: wire material (same ρ\rho), wire thickness tt, number of turns NN (and keep the coils close-wound / similar pitch), temperature.

Apparatus

Clamp stand, boss and clamp, set of springs made from the same wire, mass hanger and slotted masses, metre rule (or mm scale) + set square / pointer, micrometer screw gauge, vernier calipers.

Procedure and measurements

  1. For each spring, count the number of turns NN.
  2. Measure wire thickness tt with a micrometer at several positions and take the mean.
  3. Measure the mean coil diameter DD using vernier calipers (several readings, mean). Calculate
A=π(D2)2.A = \pi\left(\frac{D}{2}\right)^2.
  1. Suspend the spring vertically from the clamp. Place a metre rule beside it; use a set square/pointer to read the position of the lower end.
  2. Add masses in steps, ensuring the spring remains within the limit of proportionality. For each load, record extension xx (change in length). Take readings for loading and unloading and average.
  3. For each mass mm, calculate force F=mgF = mg.
  4. Plot a graph of FF against xx for each spring; the gradient gives kk since
F=kx.F = kx.

Analysis to test the relationship

Given

k=βρt4A3/2N,k = \frac{\beta \rho t^4}{A^{3/2}N},

rearrange to

k=(βρt4N)A3/2.k = \left(\frac{\beta \rho t^4}{N}\right) A^{-3/2}.

For each spring calculate A3/2A^{-3/2}, then plot kk (y-axis) against A3/2A^{-3/2} (x-axis). A straight line through the origin supports the relationship.

Determination of β\beta

From the straight-line graph, gradient

G=kA3/2=βρt4N.G = \frac{k}{A^{-3/2}} = \frac{\beta \rho t^4}{N}.

Hence

β=GNρt4.\beta = \frac{GN}{\rho t^4}.

(ρ\rho is taken from data for the metal used, or measured separately by mass/volume.)

Safety

  • Clamp stand weighted / stable; keep feet clear of falling masses.
  • Add masses gently; use safety glasses in case the spring fails.
  • Do not overload the spring (avoid plastic deformation / snapping).
Final answer

See working

Detailed explanation

Background Concept

A spring obeys Hooke’s law provided it is used within its limit of proportionality:

F=kx,F = kx,

where FF is the applied force, xx is the extension, and kk is the spring constant (stiffness). For a given spring, a graph of FF against xx should be a straight line through the origin; its gradient is kk.

This planning question also tests how to test a suggested model by changing one variable (here AA) while controlling others (ρ,t,N\rho, t, N), and then using a suitable graph to check whether the predicted dependence holds and to determine an unknown constant (β\beta).

The suggested model is

k=βρt4A3/2N.k = \frac{\beta \rho t^4}{A^{3/2}N}.

So if ρ,t,N\rho, t, N are constant, the prediction is a power law:

kA3/2.k \propto A^{-3/2}.

Understanding the Question

You are given several springs made from wire of the same thickness tt, but each spring has a different cross-sectional area AA (the area enclosed by the coil when viewed end-on, as in the figure). You must:

  1. describe a realistic laboratory method to measure kk for each spring,
  2. describe how to measure AA for each spring,
  3. ensure the other variables in the formula (ρ,t,N\rho, t, N) are controlled/known,
  4. choose an analysis that tests whether kk varies as A3/2A^{-3/2}, and
  5. explain how to obtain β\beta from your results.

Because it asks you to “draw a diagram … showing the arrangement”, an apparatus set-up sketch is required.

Approach

  • Make (or use) springs from the same wire material so ρ\rho is constant.
  • Keep wire thickness tt the same (verify with micrometer) and keep number of turns NN the same (count turns).
  • Vary only the coil size, so the spring’s cross-sectional area AA changes.
  • For each spring, measure kk by taking several (F,x)(F, x) readings and finding the gradient of an FFxx graph.
  • Linearise the given relationship by rewriting it in the straight-line form
k=CA3/2,where C=βρt4N.k = C\,A^{-3/2}, \quad \text{where } C = \frac{\beta \rho t^4}{N}.

Then a plot of kk against A3/2A^{-3/2} should be a straight line through the origin, and the gradient gives CC, from which β\beta follows.

Step-by-Step Reasoning

  1. Set up to measure extension accurately

    • Hang the spring from a clamp stand.
    • Place a metre rule vertically next to the spring.
    • Use a horizontal set square or a pointer attached to the lower end of the spring so you read the scale without parallax.
  2. Measure the geometry that gives AA

    • The cross-sectional area of the spring coil can be found from its mean diameter DD:
A=π(D2)2.A = \pi\left(\frac{D}{2}\right)^2.
  • Measure DD using vernier calipers. Take several readings in different orientations and average (springs may not be perfectly circular).
  1. Measure and control tt and NN

    • Use a micrometer to measure wire thickness tt at several points along the wire and average. This both checks that tt is the same for all springs and gives a good value for later calculation of β\beta.
    • Count the turns to find NN. If the relationship is to be tested fairly, either make all springs with identical NN or record NN and include it in the analysis (but controlling it is simpler and stronger).
  2. Determine kk for each spring

    • Add known masses mm in steps. For each mass, the applied force is
F=mg.F = mg.
  • Measure the extension xx from the change in the spring length relative to the unloaded length.
  • Repeat readings (or do loading and unloading) and average to reduce random error and reduce the effect of hysteresis.
  • Plot FF vs xx. The gradient is
gradient=ΔFΔx=k.\text{gradient} = \frac{\Delta F}{\Delta x} = k.

Using a graph is better than using a single F/xF/x because it averages over many points and makes it easier to see if Hooke’s law holds (straight line through origin).

  1. Test the relationship and find β\beta
    • With ρ,t,N\rho, t, N constant, the model predicts
k=(βρt4N)A3/2.k = \left(\frac{\beta \rho t^4}{N}\right) A^{-3/2}.
  • For each spring compute A3/2A^{-3/2}.
  • Plot kk (y-axis) against A3/2A^{-3/2} (x-axis).
    • If the points lie on a straight line through the origin (within uncertainties), the relationship is supported.
  • The gradient GG satisfies
G=βρt4N.G = \frac{\beta \rho t^4}{N}.
  • So compute
β=GNρt4.\beta = \frac{GN}{\rho t^4}.

Here ρ\rho can be taken from a data book for the metal. If you want to measure it, measure mass with a balance and volume by measuring length of wire used and its cross-sectional area (from tt) to get density.

  1. Uncertainty handling (good practice for full credit)
    • Uncertainty in xx is typically dominated by scale reading/parallax; reduce with pointer/set square.
    • Uncertainty in kk comes from the gradient uncertainty on the FFxx graph.
    • Uncertainty in AA comes from uncertainty in DD; since AD2A \propto D^2, the percentage uncertainty in AA is about twice that in DD.
    • Taking multiple springs (at least 5–6 different AA values) improves the reliability of the straight-line test.

Key Takeaways

  • Measure kk from the gradient of an FFxx graph (Hooke’s law).
  • Convert a coil diameter measurement into cross-sectional area using A=π(D/2)2A = \pi(D/2)^2.
  • Control variables that appear in the model (ρ,t,N\rho, t, N) so only AA changes.
  • Linearise the model by plotting kk against A3/2A^{-3/2}; gradient gives a constant from which β\beta is found.

Common Mistakes

  • Using a single reading of k=F/xk = F/x instead of a graph, losing reliability and making it hard to check Hooke’s law.
  • Not stating how AA is measured (must relate it to a measurable diameter).
  • Forgetting to control or measure NN and tt even though they appear in the formula.
  • Overloading the spring so it plastically deforms; then FFxx is not linear and kk is not well-defined.
  • Plotting the wrong linear graph (e.g. kk vs AA rather than kk vs A3/2A^{-3/2}, or not explaining how β\beta comes from the gradient).

Things to Be Careful About

  • Definition of AA: it is the area enclosed by the coil (based on the mean coil diameter), not the cross-sectional area of the wire.
  • Mean diameter: for a spring, measure the coil diameter carefully; if you measure outer diameter, you may need to subtract one wire thickness to approximate mean diameter.
  • Units: use SI (e.g. DD in m so AA in m2\text{m}^2; then A3/2A^{-3/2} has units m3\text{m}^{-3}).
  • Straight line through origin: the model predicts proportionality; a significant intercept suggests systematic error (e.g. zero error in extension).
  • Safe working: secure clamp stand, add masses gently, keep clear of falling masses, and stay within elastic limit.
Techniques used
measure spring constant from the gradient of a force–extension graphcalculate geometric area from measured diameterlinearise a power-law relationship by plotting against a transformed variabledetermine a constant from the gradient of a straight-line graphcontrol variables by keeping material properties and geometry fixed except for the independent variable

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