HRS test results
When testing the intake, I wanted to replicate real world testing by doing it out in the field. This was to ensure there was no manipulation that could be done during testing. Test results can always be skewed in your favor by changing variables in the testing environment. An example would be turning fans off during testing for the competitors product while leaving them on during your products test. While the ambient temperature is still the same, you have manipulated the test and conversely tainted the results.
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DS18B20 wired into pi zero w GPIO
The display was necessary to verify script was running and pi continued to monitor accurately.
Close up of the DS18B20 mounted inside the OEM Honda intake tract.
DS18B20 wired into pi zero w GPIO
For this test, I wired up a DS18B20 temperature probe to a pi zero w, connected it to a secondary display in the cabin and ran a python script to log the results of the test. The tests were done on the same route, the same week under identical conditions. During the test it was approximately 76 degrees in the morning and 90-92 degrees during the second half. I chose to monitor temperature under the latter conditions as they would be ideal for stress testing the intake at high ambient temperatures.
9p Performance HRS intake (blue) vs OEM Honda CF4 airbox (red)
The test results concluded that the OEM airbox intake temperatures steadily increased with virtually no decrease regardless of motion or travel speed. The HRS on the otherhand dynamically changed as the filter is closer to moving air and exposed to moving air mixtures. The HRS also would heat up quickly during a stop but this was expected. Since it did heat up, there were a few spikes in the results. However, once the car was moving the temperatures would drop again significantly and almost immediately.
9p Performance HRS intake temperature test
While the intake did see some temperature changes over the course of the trip, it stayed incredibly consistent. As you can see by the chart, there was only a +- 15 degree difference over the duration of 25 minutes. For ease of reading, I have color coded the chart based on what type of driving was being done. This was done by correlating timestamps with a GPS screen recording. The blue sections are city driving with a plethora of stop signs and red lights. The green section is highway driving. I've also marked the lowest and highest points for ease of reading.
The DS18B20 is also incredibly accurate. In fact its 99.05% accurate making it very reputable. The sensor was also set to a read time of .5 seconds for the test. Meaning every .5 seconds it would log the temperature giving us an incredible amount of information. Of course, compiling the data was as easy as migrating it to a spreadsheet and finally a graph. This test is something I am very proud of and look forward to performing similar tests in the future.