Class Assignment EGR 150
Estimation
Directions: This assignment is a 2-3 person team. You have the
remaining class time. If you do not finish it is due Sunday evening at 11:59PM.
Everyone must submit their own link and present the answers on their webpage.
Be sure to include your entire decision process with the necessary
calculations.
Instructions: To be presented on your Blog/webpage with clear
navigation to the assignment. The written content should include but not
limited to actual files, thoughts on the tools used, any trouble you had, what
you did to fix it and any assumptions you made.
Team: Alexandra and Robert
1.
Estimate the number of squirts that you can get out of the window
cleaner bottle.
After looking at the window
cleaner bottle, Robert and I noticed Mrs. Vestal had taken off the weight
information on the packaging. At first, we estimated the number of 16 oz water
bottles that could fill the window cleaner bottle, but we soon found it was
easier to estimate the total number of ounces that the window cleaner bottle
could hold. From there, we estimated that a squirt from the window cleaner
bottle was roughly equal to a straw full of solution. We estimated the volume
of the straw, converted units, combined our estimated values, and calculated
our answer: 400 squirts. (Work and window cleaner pictured below)
Figure 2: Problem 1 Work |
Figure 1: Window Cleaner Bottle
2.
Estimate the average building height on the COA Elizabeth City
campus. Answer should be in feet [ft] and meters [m]
For this problem, Robert and
I decided not to go out into the freezing cold and estimate the height of each
building on the COA Elizabeth City campus. Instead, we looked at a virtual map
of the COA campus and from our personal experience estimated the number of
floors in each building. We then estimated each floor had a height of 10 feet.
We excluded buildings on the campus that were not identified on the map (like
the landscaper’s shed in the back). It was tough making that distinction
because these buildings were technically on COA’s campus, but we felt they
weren’t necessary to factor into our calculation. (work pictured below)
Figure 3. Problem 2 Work |
3.
Estimate the amount of grassy area in front of the COA
Elizabeth City campus in [km2] and [mi2]
We returned to the online map
of the COA Elizabeth City campus and divided the map into 4 sections. We
noticed that one section was an approximation of the grassy sections in front
of COA. From there, we used our personal experience and the online map to estimate
the dimensions of campus and solve for ¼ of that area to represent the grassy
sections.
Figure 4: Problem 3 Work |
4.
Estimate how long it
would take an astronaut to travel to the moon using current technology. [s] and
[hours]
For this problem, our
first assumption was that the astronaut was traveling in a rocket. We used this
assumption as a jumping off point and identified the average
distance between the Earth and moon and the speed
of rocket traveling to the moon. We set up an equation for time traveled
and found our estimated solutions. For me, this was the easiest problem to
solve because we were able to search for online estimations of the distance
between the Earth and the moon and the speed of a rocket traveling to the moon
instead of making our own estimations for these values.
Figure 5: Problem 4 Work |
***** This lab is a perfect example of what I envisioned. You have created a lasting documentation of your first engineering estimation techniques. The hyperlinks are valuable because you don't need to write as much explanation as you might otherwise need. I have one comment about the math in the earth-moon problem: Why not make Travel Time = D/S ?
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