Sunday, September 22, 2013

Constant Velocity vs. Constant Acceleration Lab

      The purpose of this lab was to distinguish the difference between constant velocity and constant acceleration by rolling a ball on a level surface first, and then on a slightly inclined surface. 
      Constant velocity is simply an object moving at a constant speed without changing direction or speed. On the other hand, constant acceleration is when an object's velocity changes by a constant rate each second.
      As I said earlier, we rolled balls on both a level and incline surface to demonstrate constant velocity and constant acceleration. More specifically, we used chalk to mark the table where the ball was rolling every half second, in order to fill out a chart of distance and times. We could then even use the data to estimate the distance the ball would roll in a certain amount of time. 
      After completing this lab, I found out that constant velocity will generally yield similar distance marks, since it is moving at a constant speed. On the contrary, I learned that constant acceleration yields marks that become further and further apart each mark.
      The only formula used for constant velocity is v=d/t, and there are two equations for constant acceleration. To find how far, you use d=1/2at^2, and to find how fast, you use v=at.
      The line for the graph of constant velocity is mostly straight, and the line for the graph of constant acceleration is slightly curved upward. This is because the distance gradually increases as the time stays the same. 
      I used the graphs and equations a lot in this lab, especially for supporting my data. First off, the graphs were a helpful visual in understanding how they are different. The equations also helped in finding the velocity with a given time. 
      One thing helpful I learned from this lab is to always double check my work, because one slight error could ruin all of your calculations. Second, I learned that being a helpful group member is very important in group work and labs. Lastly, I found that it is always best to be patient and not rush finding your data, because the slower calculations usually yield better data.  

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