The post below was contributed by Michael Schmidt, our math teacher.
Layered image showing the ballistic path of the green ball thrown by two middle school students. Image by Michael Schmidt.
Parabolas can be a daunting new subject for some students. Often students are not aware of why a parabola may be useful. Luckily, nature always has an answer. Most children realize that a ball thrown through the air will fallow a particular arch but few have made the connected this arch to a parabola. Wonderfully, with a little technology this connection can be made.
With Ms. Hahn’s Canon SLR, I had some of my students throw a ball around outside and took a series of quick pictures of the ball in flight. Since my hand is not very steady, I took the pictures and used the Hugin’s image_stack_align program to align each photo so I could stack them in GIMP.
Within GIMP, I layered the photos on top of each other and cut out the ball from each layer then composed those onto one image. Careful not to move the ball since our later analysis will be less accurate. The result will look something like the following:
Now that there is an image for student to see, we can determine the ball’s height at each point using their own height as a reference. We can then use this information to model a parabola to the data with a site like: http://www.arachnoid.com/polysolve/ .
For the more advanced student an investigation of the least-squares algorithm used by the site may be done.
Now, once we have an expression for the parabola, students can compare how fast they sent the ball into the air.
Citing this post: Schmidt, M., 2014. Parabolic Trajectories, Retrieved January 17th, 2017, from Montessori Muddle: http://MontessoriMuddle.org/ .
Attribution (Curator's Code ): Via: ᔥ Montessori Muddle; Hat tip: ↬ Montessori Muddle.
Posted in Mathematics, Natural World, PhysicsNo Comments » - Tags: ballistics, math applications, physics and math
Abstract
A series of still photographs of a projectile (soccer ball) in motion were used to determine the equation for the height of the ball (h(t) = 4.9 t^{2} + 14.2 t + 1.25), the initial velocity of the ball (14.2 m), the maximum height of the ball (11.6 m), and the time between each photograph (0.41 s). The problem was solved numerically using MS Excel’s Solver function. There are much easier ways of doing this, which we did not do.
Introduction
Figure 1. Calculated elevation of the soccer ball after launch.
Figure 2. Animation of the soccer ball projectile.
One of physics lab assignments I gave my students was to see if students could use a camera to capture a sequence of images of a projectile, plot the elevation of the projectile from the photographs, determine the constants in the parabolic equation for the height of the projectile, and, in so doing, determine the velocity at which the projectile was launched.
I offered my old, digital Pentax SLR that can take up to seven pictures in quick sequence and be set to fully manual. A digital video camera with a detailed timestamp would have been ideal, but we did not have one available at the time.
Now the easy way of getting the velocity data would be to estimate the heights (h) of the ball from the image using some sort of known reference (in this case the whiteboard), and determine the time between each photograph (Δt) by photographing a stopwatch using the same shutterspeed settings. After all, the average velocity of the ball between two images would be:
The reference whiteboard is four feet tall (1.22 m) in real life, but 51 pixels tall in the image. Using this ratio (i.e. 1.22 m = 51 px) we can convert the heights of the ball from pixels to meters:
Table 1. Table showing the conversion of the height of the ball in pixels to elevation (in meters).
Unfortunately, I think my students forgot to do the pictures of the stopwatch to get Δt, the time between each photograph. Since the lab reports are due on Monday, and it’s the weekend now I’m curious to see what they come up with.
However, I was wondering if they could use just the elevation data to back out the Δt. So I gave it a try myself. Even the easiest way of solving this problem is not trivial, in fact, I ended up resorting to Excel’s iterative solver to find the answers. While this procedure probably goes a little beyond what I expect from the typical high school physics student, more advanced students who are taking calculus might benefit.
Procedure
We took the reference whiteboard (1.21 m tall), a soccer ball, and the camera outside. The whiteboard was leant vertically against the post of the soccer goal. The ball was thrown vertically by a student standing next to the whiteboard (see Figure 1) while pictures were taken. The camera’s shutterspeed was 1/250th of a second. The distance from the camera to the person throwing the ball (and to the whiteboard) were not measured.
The procedure was repeated several times, but only one trail was used in this analysis.
The images were loaded onto a computer, and the program GIMP was used to determine the distance, in pixels, from the ground to the projectile. The size of the reference whiteboard, in pixels, was used to calculate the height of the soccer ball in meters.
The elevations measured off the photographs were then used to calculate the release velocity, time between snapshots, and maximum height of the ball.
The Equation for Elevation
I started with the fact that once the ball is released, the only force acting on it is the force of gravity. Since the mass of the ball does not change we only have to consider the acceleration due to gravity (-9.8 m/s^{2}). I also neglect air resistance to make things easier.
Finding the Velocity Equation
Start with the fact that, acceleration is the rate of change of velocity with time. You can write it in the differential form:
so we integrate with respect to time to get the equation for velocity as a function of time:
where c is an unknown constant. What we do know though, is that at the beginning, when the ball is just launched, time is zero (t = 0) so c_{v} becomes the initial velocity (v_{0}) at which the ball is thrown:
at t = 0, v(0) = v_{0}:
So our velocity equation becomes:
Finding the height equation
Now since we know that velocity is the rate of change of distance (in this case height) with time:
so we integrate again to find the height equation:
Similar to what we did with the velocity equation, to find the new constant c we consider what happens at the start time, when the ball is launched, and t = 0 and h(0) = h_{0};
so:
The constant is equal to the initial height of the ball — the height of the ball when it’s thrown. So we end up with the final equation:
Results
Solving all the unknowns
At this point, although we have an equation for the height of the ball, we don’t know the initial velocity (v_{0}), nor do we know the initial height of the ball when it’s released (h_{0}). And we still don’t know the time when the ball is at each position.
With that many unknowns we’d need the same number of independent equations to be able to solve for them all. It may be possible, but instead of analytically solving the equations I opted to take a numerical approach, and use Excel’s Solver function.
I started by setting up the equations to calculate the height of the ball at six different times to correspond with our six height measurements. It was necessary therefore to create a set of variables:
- Time when we started taking pictures (t_{1}): Since we don’t know how long after we threw the ball we started taking pictures, I made this a variable called t_{1}.
- The time between each picture (dt): I made the assumption that the time between each picture would be constant. The shutter speed was constant (1/250th of a second) so there is no obvious reason why the time should be different.
- Initial velocity (v_{0}): The initial upward speed at which the ball was thrown. Obviously, the faster the initial speed the higher the ball goes, so this is a fairly important parameter.
- Initial height (h_{0}): We also don’t precisely know how high the ball was when it was released, so this also needs to be a variable.
By defining the time between each picture as dt, we can write the time that each picture was taken in terms of the time of the initial picture (t_{1}) and dt. After all the second picture would have been taken dt seconds after the first for a total time of:
similarly for all the pictures:
Table 2. Table of expressions giving the time when each of the six photos were taken.
Now I set up an Excel spreadsheet and gave all the unknown variable values and initial value of 1:
Table 3. Table in Excel for determining the height of a projectile. All of the unknown variables' values are highlighted in green and have been given an initial value of 1.
Now I just had to run Solver and tell it that I wanted the Total Residual, which gives the difference between the h(1) equation’s values for height and the actual, measured values, to be as close to zero as possible. A perfect fit of the equation to the data would have a total residual of one, but that’s not possible when you’re dealing with real data.
Table 4. Parameters set in Solver to determine the values of the unknown constants.
Even so, I had to goose Solver a bit for it to produce reasonable numbers. I put in a few constraints:
- dt >= 0: We could not have a negative time between pictures.
- h_{0} <= 1.25: 1.25 meters seemed reasonable for the height at which the ball was released.
- t_{1} <= 1: It also seemed reasonable that the time when the first picture was taken was less than one second after the ball was thrown.
I ran the Solver a few times, and had to reset dt to 0.5 at one point when it had become zero, but the final result looked remarkably good: the total difference between the modeled line and the actual data was only 0.113 meters.
Table 5. Solver's solution for the unknown constants in the height equation.
So we found that:
- Initial velocity: v_{0} = 14.2 m/s
- Height at release: h_{0} = 1.25 m
- Time between pictures: dt = 0.41 s
- Time when the first picture was taken: t_{1} = 0.44 s
Which makes the height equation:
Using these constants in the height equation, we could see how good fit the height equation was to the data:
Figure 3. Graph comparing the modeled heights (from the h(t) equation) to the actual data.
Maximum Height of the Ball
Finally, the maximum height of the ball can be read off the graph, but it can also be determined using the equation for the height of the ball:
We know that the maximum height is reached when the ball stops moving upward and starts to descend. At that point, the vertical velocity of the ball is zero. Since the velocity of the ball is the rate of change of height () we can differentiate the height equation to get an equation for velocity.
since we’ve determined that the initial velocity of the ball is 14.2 m/s we get:
when the velocity is zero (v = 0):
which can be solved for t to find that the time the ball reaches it’s maximum height is:
Putting this into the height equation:
gives:
Discussion
I’m quite happy with the way this project turned out. The fit between the modeled heights (h(t)) and the actual heights was very good.
My primary concern going into the project was that the distortion from the camera lens would make this technique impossible, but that appears not to be a significant problem.
Most of this calculation, including the somewhat tricky numerical solution using Solver could have been avoided if I’d calibrated the camera, simply by pointing it at a stopwatch (using the same shutterspeed as in the experiment) and measuring the time between snapshots. It will therefore be interesting to see if the actual time between shots (dt) is close to the dt of 0.41 seconds calculated by the model.
Finally, as noted above, a video camera with a timestamp would possibly be a more useful technology for this experiment.
Conclusion
It is possible to analyze the projectile path of an object using a series of snapshots, to determine the initial velocity of the projectile, its release height, and the time between snapshots, if you can assume that the time between snapshots is identical. There are, however, much easier methods of solving this problem.
References
None, but this is where they’d be if I had any.
Appendix
The Excel spreadsheet where all the calculations were done is here.
Citing this post: Urbano, L., 2011. Projectile Motion, Retrieved January 17th, 2017, from Montessori Muddle: http://MontessoriMuddle.org/ .
Attribution (Curator's Code ): Via: ᔥ Montessori Muddle; Hat tip: ↬ Montessori Muddle.
Posted in Abstract Thinking, Algebra, Calculus, Mathematics, PhysicsNo Comments » - Tags: algebra, ballistics, calculus, experiments, lab reports, math applications, model lab report, physics, science