To begin, our professor reviewed the generator lab software on Labview which provided us with an understanding of how to measure the voltage output of the generator. Our task was to correlate the number of shakes of the generator, in thirty second intervals, with the sum of the square of the voltages that the generator was creating.
The procedure included shaking our tube at 5 different rates while counting the number of shakes and during the time that our data was being collected by the Labview software. While using Excel, we recorded all of our data and calculated the sum of the squares of the voltages.
Voltage vs. Number of Shakes
|
|
Number
of Shakes
|
Sum of
the Squares
|
67
|
121.5065
|
130
|
303.2793
|
120
|
145.7798
|
132
|
219.9556
|
According to our data, as we increased the number of shakes the sum of the squares increased and we had generated a greater voltage. Although, there may have been a counting error for either the 130 number of shakes or the 132 number of shakes because they do not follow the relationship. This could have been due to the fact that in our group, we had taken turns shaking our tube and counting the number of shakes and this was not a consistent way to collect this data.
This experiment provided us with the opportunity to produce our own electricity and understand that the greater the change in the magnetic flux, the greater the currents and voltages will be.
Below I have directly collected data from my most current NStar bill:
As my bill shows, my average daily electric use (at my apartment alone) is 9.5 kWh a total of 278 kWh a month. It looks like that I will not be using a hand held generator to generate electricity for myself!
This is a great blog about the experiment we did in class. I wish I had looked at it before posting mine! You made great use of graphics (including the one of your own electric bill) and I like that you fully explained the process of the experiment and how we got our results. I also like how you included the pitfalls of the experiment to address those outlying numbers that we found. Awesome job!
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