I was not suggesting that your data was incorrect. I was suggesting that there must be a reason for our different results which we may not have figured out yet. But as for the difference between solid infill and gyroid infill the top post in this thread speaks to that. The same device 100% gyroid at something like 65% wrapped in tape and not wrapped in tape. That's what's in that video.I re-plotted the two signals on the same graph in both the frequency and time domain. For frequency domain I used a Hamming window of the full length of the signal. Since I am writing the code, I can have any length FFT I want. The FFT length is equal to the signal length. (It happens to be 18843 points). I cut off one of the time domain signals (to make it the same length as the other) so both frequency domain outputs would share a common x axis. I'm not saying that I took the data perfectly, but here it is. In this configuration, the solid one is quieter, it's obvious in both domains.
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I did this in python (numpy & scipy) to process and plot the waveforms. I exported the Audacity signals as matlab files, (rather than a wav file) and ran my program on these data files sequentially. The frequency domain signal is slightly filtered with a Savitsky-Golay filter to remove some of the fuzz without changing the shape.
I put substantial bracing on the baffles, as I was concerned about the structural integrity of the weak mesh. The six radial braces hold more than 1/2 the height of the cones. I could see that high power would cause some issues. Haven't had any good days to test accuracy.
What we need to do is figure out why. Also there is a video here somewhere where I test that gyroid unit against a 100% solid unit sliced & printed from the same stl file.
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