








 |

Position
& Velocity:
Can You
Relate?
Experiments
from Team Labs
Experiment
Profile
| Connections: |
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Distance
(Position) and Velocity Measurement, Technology, Mathematics |
| Skills: |
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Predicting,
Modeling, Measuring, Graphing, Analyzing |
| Duration: |
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1 Class
Period |
| Team
Size: |
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2-3
students per group |
| Content
Standards: |
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Science
Standard A (grades 9-12)
Science Standard B (grades 9-12)
Science Standard E (grades 9-12)
Math Standard 1, 2, 3, 4, 5, 6, 10, 11, 13, (grades 9-12) |
Purpose
- To help
students understand how a Distance Probe works.
- To make
predictions based upon story problem scenarios.
- To model
experimentation that mirrors predictions.
- To analyze
data and graphs, learning the relationships between Distance and Position
as well as Velocity and Position, as related to time.
Summary
In this
experiment, you will be required to formulate predictions and determine
outcomes that will be produced when using a Distance Probe. You will make
predictions first, then try to simulate and mirror those predictions with
relation to your position to the Distance Probe and how fast or slow you
move when attempting to model the scenarios presented to you.
Materials
- Computer
- ThinkStation
Interface
- Power
Supply
- Communications
Cable
- Excelerator
2000 Software
- Distance
Probe
- Distance
Probe Module (yellow Motion & Mechanics box)
- Ring
stand, or similar fixed position device (clamped rod, the wall -- using
Velcro to affix the probe, etc.)
Background
The Distance
Probe uses the same technology that Polaroid Cameras and similar devices
use to measure the distance to an object. In the case of the camera, the
distance-sensing device allows the camera to use the appropriate settings
to take a focused and normally exposed picture. The Distance Probe uses
this technology to make similar calculations with an accuracy of ±
7 mm over its entire temperature range (0 ºC to 52 ºC).
The range of the Distance Probe is 0.4 m to 10 m; therefore, certain considerations
must be taken into account when making your predictions to ensure you
create scenarios that can be measured accurately. Your Distance Probe
uses ultrasonic pulses (sound) to measure the time it takes to send out
a pulse and wait for that sound wave to bounce off an object and return
to the source-the Distance Probe. Knowing the speed of sound, the software
is able to calculate any object's position, velocity, and/or acceleration.
In this experiment, you will be asked to reproduce a number of Distance
vs. Time graphs while walking back and forth in front of the Distance
Probe. To begin this experiment, make yourself familiar with and practice
using the Prediction Line in Excelerator. This is one of the functions
of the right mouse button that allow you to analyze your graph data.
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Note:
Since the temperature of the air affects the speed of sound, make
sure you measure the temperature of your classroom or lab (you could
use the Standard or Extended Temperature Probes, or a classroom
thermometer in degrees Celsius) and input that value in the Distance
Probe's calibration dialog box. The default setting is 22 ºC
(which may indeed be the temperature of your room, in which case
you would not need to change this setting).
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Procedure
Collecting
Data with the Distance Probe
| 1.
Prepare your experiment by first affixing the Distance Probe to something
that will put it in line with your chest as you stand -- a ring stand
with rod, a rod clamped to a table, or Velcro-type tape attaching
the probe to the wall, etc. Plug the Distance Probe into the yellow
Motion & Mechanics Module, and insert the module into one of the
two right rear module ports on the Thinkstation interface.
Your
chest will serve as the reflecting surface that the probe will use
to make its calculations.
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2.
Launch Excelerator 2000 and click on the Connect&GOTM
icon. Excelerator will automatically identify the Distance Probe
and create a Position vs. Time Graph. You will need to edit a few
parameters before beginning. The software will set default sample
rates and durations for the experiment, which you will change in
the next step.
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3.
To change the sample rate and duration of the experiment, click on
the Edit Clock icon located on the Excelerator toolbar.
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Show me |
Set
the sample rate to 20 samples per second and the duration to 15
seconds.
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Show me
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4.
Create a Prediction Line similar to the one shown at left by right-clicking
in the grid portion of the Fast Graph and choosing Prediction Line.
Note the Time and Position (distance) measurement units.
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| 5.
Once you have made your prediction, position yourself with relation
to the probe in the position that you feel represents the time at
0 seconds. |
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6.
You will now attempt to model the scenario you have created as a
pre-trial prediction line. When you feel you are in the appropriate
starting position, ask your teammate to click the GO button. As
you watch the screen of your computer, attempt to place yourself
in the position/s that will make your actual real-time trial data
mirror your prediction line.
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View screen |
7.
At left is the actual data produced when we attempted to model
this scenario.
- Is
movement necessary?
- How
difficult is it to stay in one position?
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View screen
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8.
Next, note the following Position scenario. Again, create a
Prediction Line that is similar to the one shown at left prior to
attempting to model it.
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9.
Model your Prediction Line by positioning yourself in front of the
Distance Probe. When you are ready, ask your teammate to click the
GO button.
* Practice modeling your Prediction Line until you nearly mirror
the trend line showing in your Fast Graph for this scenario.
- Did
you start at the correct position?
- Were
you able to model your prediction line on the first try?
- How
many trials were needed to closely mirror the Fast Graph's Prediction
Line?
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View screen
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10.
Again, at left is our attempt at such a scenario. |
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| 11.
Now, based upon the following story problem, create a Prediction Line
that will model it. (Create your prediction from the following description
in words without relying on our picture model.)
This
Position scenario asks you to model the following:
- A.
Start from a fixed position that is at the probe's lower range
limit, 0.4 m, and remain there for 2 s.
- B.
At 2 s, rapidly move to a position that is 2 m from the probe
over the course of 1 s, and then hold steady there for 2 s.
- C.
Gradually return to a position that is 1.5 m from the probe over
the course of 4 s.
- D.
Without pausing, lean your chest in, then out, with 1 s pauses
between leans, then remain in a fixed position at a distance of
1.5 m.
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View screen
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12.
The screenshot at left shows a possible Prediction Line based upon
the previous story problem.
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| 13.
After exploring Position with the Distance Probe, you will now explore
Velocity. Click on the Distance Probe icon in the y-axis area (or
click Edit Experiment in the Experiment toolbar, and change
the measurement setting to "Velocity") and remove the Position
measurement. |
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View screen
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14.
With Excelerator ready to measure Velocity using the Distance Probe,
create a Prediction Line based upon the model at left. |
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15.
As the focus of this experiment has shifted from Position to Velocity,
re-focus your predictive notions in your attempt to model them based
upon the definition of Velocity -- the change in position over the
change in time, or:
ΔP/ΔT
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View screen
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16.
Our attempt produced the results shown at left.
- Is
a Velocity of 2 m/s or 1 m/s easier to model in a short amount
of time? Why?
- What
movement (forward or backward) when using velocity is considered
positive or negative (above or below 0)?
- How
does this relate to how the probe makes measurements?
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17.
Create your own Velocity-based story problem for your teammates
to attempt to model. Keep in mind the probe's limits and the limits
of your own body movements over time (e.g. can you really move 5
m/s under your own foot power in a mere 1-second period? Not likely!)
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18.
Exchange scenarios with a teammate. Make a Prediction Line of the
story problem posed to you.
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19.
Model your prediction and record this data.
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Analysis
of the Data
Analyze
your Fast Graphs, noting your ability or inability to mirror the predictions
you created.
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What
was the most difficult scenario to predict?
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What
was the most difficult scenario to actually model?
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What
changes did you have to make in your predictive nature when switching
from Position measurements to those of Velocity?
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Why
is the Distance Probe sensitive to temperature?
Conclusions
As you should
have discovered, the Distance Probe is very sensitive to your movements.
This is why there is a tendency to see actual data look a little "choppy"
and errant as you try to mirror predictions, for they can be hard to model
in a very consistent manner. Practice makes perfect in these scenarios.
More than one attempt is usually necessary to correct your behavior of
movements before being able to closely model the prediction line with
accuracy. This will also help you to correct your misconceptions about
distance, position, velocity and movement in general.
When you
have mastered the use of the probe for the measurements requested in this
experiment, attempt scenarios using the Acceleration measurement from
the Distance Probe. This concept requires more patience and exploration
to fully understand, as it is usually more difficult to mirror in real-time
with body movements. Try using frictionless cart systems for more reproducible
results. The sky's the limit in your investigation of these concepts.
In the case of the Distance Probe, your limit is about 10 meters!
Extensions
Use probeware
to investigate the following:
- Predict
the movement of other items and how they will affect the Distance Probe,
such as a skateboard going up or down an incline.
- Have
two students attempt to model a prediction at the same time, standing
side by side, to see if they follow the same pattern as they attempt
to model a scenario put up on the screen as a Prediction Line. (They
may tend to follow one another incorrectly and/or show misconceptions
as they relate to how the probe takes measurements, especially as related
to positive or negative values).
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About
the author...
Marc
Mueller is the Secondary Curriculum Specialist at Team Labs. His
background includes packaging and mechanical engineering, secondary
science, technology and vocational instruction. His real-world experience
is mirrored in his curricula as he has been focused on engineering,
creating applied technology laboratories, and the creation of pre-engineering,
computer technology and vocational coursework and activities throughout
his career.
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