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Our design takes a different path. Instead of relying solely on volume, our suppressor creates significant turbulence right from the start, and that turbulence makes each baffle work more effectively.
Another key factor is bore diameter. While it may not have a major impact on some suppressors, it plays a critical role in ours. A smaller aperture slows the transfer turbulent gases from baffle to baffle, improving efficiency and overall performance.
They have done destructive testing- I thought the videos were posted, and just got off the phone with Cliff- he thought they were. The person that ran the media/web apparently did not. They will be posted.
What has been shown by lots of companies and is known by more, is that muzzle forward cans historically have not shown enough dB reduction from 6.5 bore to 30cal to make it worth it. That’s still true for most designs. However, OTB for some reason does show a relatively large difference. This was confirmed by a couple other large suppressor companies- one which sells OTB and one that doesn’t. Both stated that they aren 100% sure why, and that their muzzle forward cans don’t show it.
Because it has shown to not match reality often enough that it’s not really worth it. Very often designs that should be “the best” are terrible in real life when built and tested, and designs which should be “terrible” are quite good when actually measured.
One of the best cans from a dB and sound standpoint was made in a garage nearly 40 years ago, and the computer analysis that I’ve seen on it says it should be a POS. Another- one of the best suppressor companies on the market came up with their design on a napkin at a bar- again, the fluid analysis said it shouldn’t be good.
What year were those CFD done? Do you know who ran the simulations, and what SW packages were used?
A key limitation of using CFD for cans is modeling turbulence. That, and nobody likes doing the meshing! However, the SW and computing power keep getting better so what was state-of-the-art just 10 years ago is not necessarily relevant today. For example, there are new turbulence models that came out since I left the field just a few years ago.
Disclaimer: I was not an analyst, but collected data for CFD and other sims. The CFD models were never correct with the first iteration, even by an experienced PhD. So correlation studies were done, which is common across industries, to improve the models.