1. The Effects of Aerodynamics of Vehicles on Air Resistance
Mitchell Guthmiller
Aberdeen Central High School
One-way ANOVA: Camaro, Impala, Truck
Source DF SS MS F P
Factor
Error
Total
S = R-Sq = 98.82% R-Sq(adj) = 98.43%
Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean StDev
Camaro (-*-)
Impala (--*-)
Truck (-*-)
Pooled StDev =
Purpose
Raw Data
This experiment was tested to see how the shape of vehicles affect the air resistance of the aforementioned vehicles.
All data is collected in Newtons
Trial 40 PSI
Camaro
Impala
Truck 1
0.054
0.051
0.298 2
0.055
0.052
0.315 3
0.050
0.048
0.289
Trial 60 PSI
0.284
0.084
0.504
0.256
0.097
0.542
0.303
0.071
0.483
Trial 80 PSI
0.340
0.129
0.708
0.365
0.160
0.794
0.372
0.124
0.715
Hypothesis
The coupe style car will have the least amount of resistance because of its slender design and low ride to the ground. While the SUV/ Pick-Up style vehicle will acquire the most resistance from air, due to its bigger design and its higher ride off the ground.
Materials
Air Compressor Model Truck Model Coupe
Model Sports Car Air Nozzle Air Hose
Force Sensor Vernier LoggerPro Computer
Methods
Data Analysis
One-way ANOVA: Camaro, Impala, Truck
Source DF SS MS F P
Factor
Error
Total
S = R-Sq = 98.95% R-Sq(adj) = 98.60%
Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean StDev
Camaro (-*-)
Impala (-*-)
Truck (-*-)
Pooled StDev =
Set up LoggerPro and force sensor.
Place car eighteen inches from the force sensor.
Attach the force sensor and the car with a string with a hook on it. Tie the string onto the force sensor.
Set up air nozzle next to the force sensor (make sure that it is in the same place for all the tests) make sure that the path to the vehicle is clear and unobstructed.
Run trials, at least three per car.
Make sure to record the pressure of the air for each test.
Run the test for ten seconds per trial.
Transfer your data from LoggerPro into Excel.
Using the data that you now have in an Excel spreadsheet, transfer it over to Minitab.
Use Minitab to run your ANOVA test (one way unstacked).
The ANOVA test is used to determine whether the experimental data was significant or not.
One-way ANOVA: Camaro, Impala, Truck
Source DF SS MS F P
Factor
Error
Total
S = R-Sq = 99.70% R-Sq(adj) = 99.60%
Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean StDev
Camaro (-*)
Impala (*-)
Truck (-*-)
Pooled StDev =
PHOTOS
Conclusion
This experiment was concluded after running nine different tests. The findings were that the coupe style car has a better design to shed the wind right past the car. The sports car was the second best, which put up with the wind fairly well, but due to the design the car forced more wind on it to have more downdraft. The pick up style was the least wind resistant, not only due to the higher ride of the vehicle which allowed more air in between the vehicle and the ground surface, All of these findings agree with my hypothesis which due to the p value being below .05 makes them significant.
Photos taken by Mitchell Guthmiller
All tables, Charts, graphs and images are created by Mitchell Guthmiller