Monday, April 20, 2015

Apr 15th 2015; Lab 13: Magnetic Potential Energy

Purpose:

            The purpose is to come up with an expression for magnetic energy and use it to prove conservation of energy in the glider-magnet system.


lab setup

Experiment:

            A glider with magnetic end has the same magnetic polarity as the other one attached at the other end of an air-track. The air-track is frictionless. As the glider is given a push (v0), it moves toward the other magnet, they repulse, and the cart moves back. During this whole time, we observe the change between KE and PE and vice versa. But potential energy in this case is not GPE nor EPE. So we, 

1.     Come up with an expression for Umagnetic from Force. We use FBD in order to come up with sums of forces equation. 
-We tilt the air track at several various angles to ultimately get different separation distance, r, between front of glider and the fixed magnet. We don't have to worry about height of the incline since we can just place phone on the air track and it will measure the angle with dθ= +/- 0.1°. We use a ruler, each time, to measure "r", when the glider doesn't want to slide down anymore (where repulsion   fully occurs between the two magnets).
-Prediction for the graph of F(magnetic) vs. “r”, and prediction for conservation of energy:


- U(r) from F(r). The lower limit of integration ∞ can be assumed equals zero, since that’s where the magnetic force is zero when separation distance is very far away.


  • where r = separation distance when the 2 magnets are at maximum repulsion.
2.    Now for the real experiment, place the air track back to horizontal position. Make sure that phone measures zero degree (0.1, or 0.2 is okay). 
- Attach an aluminum reflector to top of glider. 
- Use a stand, and attach motion sensor at the top where it faces directly the aluminum reflector from the glider. Record the "fixed distance"as shown in setup below. This distance is from the front of the sensor to the front of the fixed magnet.
- With air vacuum turned off, place the cart on far end of the track. Set the motion sensor to record 30 measurements/ second.
- Turn on the air vacuum, click collect data on LoggerPro, and give the glider a gentle push. 
The two magnets shown are covered in yellow tape
- Since we're interested in separation distance, we can use the fixed distance and subtract it by  "position" from LoggerPro.
- By the end of this part, LoggerPro will be able to give data of velocity, time. And we will utilize these below.

Data and Analysis:

1.   Determining U(r):
- F(r)= mgsinθ; Therefore we use several of our angle measurement, plug it in to find F-magnetic for those several measurements.
-Two of the angles shown below give roughly the same r-distance. So we strike both of them out and use their forces average as one data instead.
- From power fit below, we get: F(r) = 0.001074(r)^(-1.44)
"B" in this case is "n"
- Calculating errors obtained from "A" and "n": 

  • error for "A" = (0.0003870 / 0.001074)100% ~36%
  • error for "n" = (0.07286/1.440)100% ~5% 

- Integrating this, we get 

2.   Verifying conservation of energy:
-Data: fixed distance = 0.426m; m(glider)= 0.34kg
-Under new calculated column, we add expressions for KE, U (magnetic), Separation distance, and E-total to LoggerPro in forms of:
Separation distance = r = "Position"-0.426
U(r)= 0.00244091("Separation")^(-0.44)
KE= (1/2)(0.34)("velocity")^2
Total Energy= KE + U(r)
- Then we get:
-Graph to see the relationships of (KE, Umagnetic, Esum) vs. time:
Time of interest is between the interval 2.83 to 4.86 second
- When comparing to the ideal graph we predicted, the total energy here doesn't appear to be a straight line. We also see that KE doesn't align with its previous portion after the turning point (when KE=0). Again this flaw is seen in the velocity vs. time graph. Initial velocity stays relatively constant at ~ 0.25m/s, while after repulsion, it only gets back to ~ 0.2 m/s. 
- The graph of U (magnetic) shows the peak significantly higher that the maximum of KE, which leads to the interpretation that our error of 36% (calculated above) plays parts of this.
-Ideally, total energy should align with the maximum of both KE and U-mag. So if we were to say that true value of max KE in this case is = 0.015J, then that's what the total energy graph should look like at any point in the interval of our time of interest (2.83 to 4.86 secs)

Conclusion:

Source of uncertainty for U-magnetic: dθ, dx in mass and distance measurements
Source of uncertainty for KE: flat surface is still at some angle (0.1-0.2 degree), uncertainty in mass and distance measurement.

Nonetheless, we verify that there is conservation of energy in this glider-magnet system.

Sunday, April 19, 2015

Apr 8th, 2015: Lab 12: Conservation of Energy in Mass-Spring System

Purpose:

   To prove the conservation of energy is true for the mass-spring system where the mass of spring is not negligible.

Experiment:

Preliminary: Before we start the lab, we have to come up with some equations of energy for both the hanging mass and the spring. Since we count in the mass of the spring, the system should have the sum of 5 energies. For hanging mass, we have KE, GPE. For spring, there are EPE, GPE, and KE.


Representation of how GPE spring is calculated
Calculating GPE of spring
Calculating KE of spring
V (end)= velocity measured (by LoggerPro) at the bottom of hanging mass


Determine the spring constant
1.     Mount a table clamp to the table with a vertical rod then another horizontal rod attached to the vertical rod. On the horizontal rod, attach force probe and place it far enough from the table. Place motion sensor on the ground and align probe and sensor.
2.     Calibrate the force sensor with zero then 100g (9.8N) mass.
3.     Measure the mass of spring. Hang the spring from the force probe. Then, attach 50g mass to its end and just support it so the spring is non-stretched. Zero the force sensor
4.     Change the setting to recording data for 3 seconds and test by collecting data by pulling down the hanging mass.
5.     There are 2 ways to determine spring constant:
  •         Slowly pull hanging mass downward. Collect this data for 3 seconds at 20times/sec. Obtain Forces vs. stretch, where stretch= initial position-final position. Change same setting for LoggerPro to give Linear fit in a form of F= kx + F0
  •        Change hanging mass, and record change in position. Let hanging mass pull spring to maximum stretch. Collect data of position (stretch) on LoggerPro. Use this to calculate through: sum of F= kx= mg => k= (mg)/x


Setup for this whole lab

Various Energies involved
1.     Hang 250g mass, pull about 10cm downward, let go, then collect data. After 3 seconds, LoggerPro collects, graph velocity vs. time and position vs. time.
2.     Make a new column for data of “stretched” position
3.     New calculated column for all five energy equations from above and another column for Esum.

Data and Analysis:
Determine the spring constant
    We go with the first way by using Linear Fit to find spring constant:
    

   Therefore, k= 8.427 N/m
Various Energies involved
- After pulling and letting go of the system, we get:
- Note that Force, seen here, is directly proportional to position, similarly to Hook's Law: F= kx. At the highest peak of "position" and "Force", the "velocity" is roughly zero. This is where the spring is at maximum stretch. The same case for when force and velocity are at lowest peak, velocity is zero  for spring is at maximum compression.

        Measured data:  M-spring= 0.09kg; m-hanging= 0.25kg;

    -We determine the non-stretched position of the spring to 0.64cm, a measurement from the top of motion sensor to the bottom of hanging mass. What LoggerPro measure is "position" between these two points. As the mass-spring system oscillate, position changes and we find the stretched/compressed value by calculating: 0.64 - "position".
    -New calculated columns for 5 energies. We combine KE and GPE of spring and hanging mass together. So we have 3 energy equations instead of 5, including:
    - Putting into LoggerPro, we get:

 - The graphs: color-coded: Kinetic energy, Gravitational PE, Elastic PE, and total energy
 - The first graph shows relationships between the energies and position. Note that as the system returns to its relaxed position, at 0.64m, Elastic PE decreases and Gravitational PE increases due to increase of height. When comparing all the energies to time in the second graph, we see that GPE is at its lowest point when EPE is at its highest peak. Kinetic energy is at maximum, when GPE and EPE intersect one another (having the same value). In both graphs, total energy stay approximately constant at any point, which is represented by a roughly straight line, since all the other energies compensate one another at different position and time.



Conclusion:

    The graph above represents the conservation of energy in the mass-spring system where mass of spring is counted in. Source of uncertainty include the error in measuring the oscillating system by LoggerPro, error in functionality of spring, measurement uncertainty in masses and lengths. Within these listed possible error, we can still conclude that there's conservation of energy in this mass-spring system.