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Investigating the Properties of Sound

Investigating the Properties of Sound. Demonstrating the temperature dependence of the speed of sound in air. Outline. Introduction to sound waves The experiment – measuring the temperature dependence of the speed of sound The theory of sound propagation

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Investigating the Properties of Sound

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  1. Investigating the Properties of Sound Demonstrating the temperature dependence of the speed of sound in air

  2. Outline • Introduction to sound waves • The experiment – measuring the temperature dependence of the speed of sound • The theory of sound propagation • Data analysis and discussion of experimental results • Conclusion

  3. What is sound in physics terms? • A longitudinal travelling wave. • Caused by an oscillation of pressure (the compression and dilation of particles) in matter. • Other names for sound are pressure waves, compression waves, and density waves. • Names derived from the motion of particles that carry sound. Sound wave animation: http://paws.kettering.edu/~drussell/Demos/waves/wavemotion.html Notice that each individual particle merely oscillates.

  4. How do we perceive sound? • Pressure waves causes the eardrum to vibrate accordingly. • That vibration is transferred to the brain and then interpreted as sound.

  5. Some properties of sound • Volume • Amplitude of sound wave – how large are the particle displacements? • Pitch • Frequency of oscillations. • Speed of propagation • How fast does a sound wave travel? • What factors affect the speed of sound?

  6. The experiment • Purpose • To determine how the speed of sound is dependent on the temperature of the medium. • Motivation for this study • Musicians: try playing an (accurately tuned) instrument in the freezing cold; the intonation will be completely off. • Effect is most apparent with brass instruments. • Then warm the instrument up again without retuning, the intonation is fine again. Why?

  7. Schematic of experiment Microphone – converts sound to electronic signal Battery – outputs electronic signal Speaker – converts electronic signal to sound to channel 2 to channel 1 Oscilloscope – graphs electronic signal against time

  8. Display on oscilloscope showing delay between 2 signals

  9. Apparatus • Large Styrofoam cooler • Liquid nitrogen • Heating lamps (60W) • Digital thermometer • Two-channel digital oscilloscope • Speaker • Microphone • Battery (9V) with switch

  10. Entire experimental setup (outside view)

  11. Inside the cooler

  12. Boiling liquid nitrogen inside cooler

  13. Halogen heating lamp

  14. Fan to promote air circulation

  15. Digital thermometer

  16. Battery (inside box) with switch and signal splitter

  17. Speaker

  18. Microphone

  19. Digital oscilloscope

  20. Entire experimental setup again

  21. Collecting the data • Cooler has already been cooled with liquid nitrogen to approx. -60˚C. • We will periodically pause the lecture and take a data point. • Turn on battery to send a voltage pulse. • This pulse triggers the oscilloscope to (1) start reading and (2) freeze graph on screen (pre-set oscilloscope functions). • Immediately record the temperature. • Use oscilloscope cursors to measure the time delay between the signals on channels 1 and 2.

  22. How is sound modeled mathematically? • Sound is a somewhat abstract concept • A sound wave isn’t an object – it’s a type of particle motion. • That motion can be understood as travelling compressions and rarefactions in a medium. • Most straight-forward method to describe sound is to keep track of the positions of every particle that mediates the sound wave. • Number of particles is on the order of 1023 – impossible to calculate the movement of every single particle!

  23. Real method: • Same idea, but no need to keep track of every particle individually. • Use probability and statistics to “guess” the collective behaviour of particles. • The branch of physics that uses statistics to model very large systems is called thermodynamics, or statistical mechanics. • Sound is a statistical mechanical phenomenon.

  24. Important Definitions • Bulk modulus (K) • A measure of the elasticity of a gas; ie. how easily is the gas compressed? • Analogous to the spring constant in Hooke’s law Just as a high spring constant corresponds to a stiffer spring, a high bulk modulus corresponds to a less compressible gas – a “stiffer” gas. For diatomic gases

  25. Adiabatic process • A physical process in which heat does not enter or leave the system. • The compression and dilation of air to form a sound wave is an adiabatic process. • Adiabatic index (γ) • A thermodynamic quantity related to the specific heat capacities of substances. • Here γ accounts for the heat energy associated with compression, which adds to the gas pressure. • γ ≈ 1.4 for diatomic gases.

  26. The speed of sound in theory • A rigorous derivation of the speed of sound from first principles in statistical mechanics is much too complicated. • We need to start somewhere though, so lets begin with a more easily accessible equation. The speed of sound is denoted as c by convention; p is pressure and ρ is density. So where’s the dependence on temperature?

  27. Recall from chemistry class the ideal gas law: where P is pressure, V is volume, N is the number of particles, kB is the Boltzmann constant, and T is temperature in Kelvin. Substituting for P in our previous expression: Now realize: Therefore where m is the mass of a single molecule.

  28. Substituting in m gives us: Now realize T = + 273.15, where is temperature in Celsius. Therefore Notice that the first term is equal to the speed of sound at 0˚C. Lastly, substitute in the correct numerical values and simplify to get: ms-1 Why do we want the expression specifically for nitrogen gas?

  29. The speed of sound vs. temperature in theory

  30. The (real!) theoretical speed of sound vs. temperature

  31. Analyzing our data • Our raw data gives us, at each temperature, the travel time Δt of the sound wave. • To extract speed, divide the distance between the speaker and microphone by Δt. • Distance measured to be 73cm. • Now we can graph the speed of sound against temperature. • See how closely our data matches up with theoretical predictions.

  32. The speed of sound vs. temperature in theory

  33. Speed of sound vs. temperature in theory (experimental temperature range)

  34. Data set #1 plotted with theoretical speed of sound vs. temperature

  35. Data set #2 plotted with theoretical speed of sound vs. temperature

  36. Discussion of experimental errors • Many sources of measurement uncertainty. • Distance between speaker and microphone. • Uneven temperature distribution inside cooler. • Air leakage – escaping nitrogen replaced by normal air. • Oscilloscope screen does not clearly define the beginning of the microphone signal. • Acoustic noise from sounds inside room. • Electronic noise from battery, microphone, etc. • The approximations made in the derivation of the speed of sound: and

  37. In summary • What we perceive as sound is actually oscillations of air particles. • These oscillations are caused by pressure waves travelling through the air. • Sound waves are mathematically described by statistical mechanics. • The speed of sound is dependent on the temperature of the medium carrying it, and obeys the equation:

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