The purpose of this experiment was to compare various brands of bicycle helmets based on their ability to absorb impact during a crash. I became interested in this idea as I was looking at safety equipment in a sports store and noticed helmets. I then became curious about the prices of all the different brands available. I wanted to find out if the most expensive brand of helmet would be the safest in a crash. The information gained from this experiment could benefit consumers everywhere by showing them which brands of helmets would protect them most effectively. Regardless of price, having the best helmet could save lives. My hypothesis was that the more expensive helmet brands would absorb nearly the same amount of impact force as the less expensive helmet brands during a crash test. I based my hypothesis on the Bicycle Helmet Safety Institute program that tests the safety of all market helmet brands. It stated that all of their helmets have to pass a series of tests to go onto the market. Since all helmets meet their standards I thought there would be very little difference in their impact absorption. The constants in this study were:
The manipulated variable was the brand of helmet used in the experiment. The responding variable was the amount of impact transmitted to the probe in the “head.” To measure the responding variable, I used a Vernier accelerometer probe attached to a computer running Logger Pro software to measure the acceleration (m/s2) during each collision and the impact impulse in thousandths of a second.
1. Tie a rope securely to the base of the pulley. 2. Pass the rope over a strong support 3 meters above floor. Pull the rope so the pulley is positioned securely about 3 meters above the floor. 3. Measure 2000 grams of sand into the nylon weight bag. 4. Attach the weight bag to a second rope and run this rope though the pulley so the weight can be raised and lowered easily. 5. Attach the Vernier accelerometer probe to the computer with Logger Pro software. 6. Place the Vernier accelerometer probe inside the mannequin head shape by drilling a hole in the top of it and stuffing the probe inside of the hole. 7. Put the mannequin head shape into one of the four helmets in an upright position on a flat surface that can hold the mannequin head shape into a position where it is not tilted or uneven when it is placed on the flat surface. (If you can’t manage to do this you can always strap the mannequin head shape to the flat surface.) 8. Be sure it is positioned exactly under the weight bag. 9. Check helmet for “square” fit. 10. Hold the rope so the weight is in a fixed position, suspended 2.0 meters in the air directly above the helmet. The weight must not be swinging. 11. Release the rope so the weight will hit the helmet. 12. Record what the Vernier accelerometer probe reads in “meters per second squared” for that individual helmet brand at the moment of impact. 13. Repeat steps 8-12 for a total of 10 trials. 14. Repeat steps 7-13 for each helmet brand. The original purpose of this experiment was to compare various brands of bicycle helmets based on their ability to absorb impact during a crash. The results of the experiment were that the various brands of bicycle helmets absorbed nearly the same amount of impact during a crash. My hypothesis was that the more expensive helmet brands would absorb nearly the same amount of impact force as the less expensive helmet brands during a crash test. The results indicate that this hypothesis should be accepted. I believe this because the data proved to me that the more expensive helmets absorbed nearly the same amount of impact force as the less expensive helmet brands during a crash test. Because of the results of this experiment, I wonder if the force rate or amount of force would create a different result in the experiment. I also wonder if the use of different types of padding inside the helmets would have also changed the results in the experiment. Finally I was also curious about the chinstrap tension around the head that possibly would have also created other test results in the experiment. If I were to conduct this project again I would have had it so that the equipment I was using could read up to 0.0001th of a second instead of just 0.001th of a second. That would have made the data more precise. I would have made more trials for each helmet brand. Also I would have used a more realistic “head” shape rather than having used Styrofoam. Finally I would have had it so that I dropped the helmets more like the “real” professional tests.
I would like to thank the following people for helping make my project possible:
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