You seem to be missing your own point.
The roundover encourages spillover/diffraction outside the wanted dispersion angle. If the device is large enough, that will reduce towards making the idea redundant in the first place.
Hi,
The link seems broken can you fix it?
I am rather handy with Matlab/Octave and @Tom Kamphuys already shared his code with me (thanks!).
To me it would be very easy (I think at least) to put the thing into a genetic algorithm for optimization.
This way Matbat indeed keeps complete control over his IP while ABEC/VACS which is costly and not open source, although more precise, is removed from the equation.
I sort of understand that Mabat has already managed to get a GUI based tool for optimization but that's one less thing to worry about with Matlab/Octave.
It would still be possible to use ABEC for verification/fine tuning anyways
I guess now it comes down to
1. Can we fix the MMM_toolbox
2. Can we get the coordinates with the correct format from ATh (that might be what Tom is asking)
3. Get on with it...
Infinite baffle only in Bjorn's code is quite a significant limitation. Much changes when you add a finite baffle or free space.
Sorry about this silly mistake! The toolbox has now been updated with pressure magnitude instead of the complex value in the DI calculations.
What might be appreciated by many, I think, is if someone devised a simple direct way of calculating a smooth rollback. Obviously the OS-SE formula itself doesn't allow that as a function y=f(x). We would need to go parametric ([x,y] = [f(t), g(t)]).
I could publish my rollback algorithm but that's just a quick&dirty way of utilizing the discrete profile representation I have inside Ath. I'm not sure it would be universally useful. The basic idea is to smoothly increase curvature along the profile, whatever that may be.
With just the OS-SE and an infinite baffle, you're still only half way there...
I assume the first part is OS. What are f(t) and g(t) (generally, before matching) for the second part?
I'll give it a go. No guarantees though
This is what I meant - these are the x(t) and y(t) functions for the CE360 profile, i.e. including the rollback (t=length along the curve).
One would need to construct these two functions as some convenient (analytic) approximations.
- Maybe some sines and cosines would do
One would need to construct these two functions as some convenient (analytic) approximations.
- Maybe some sines and cosines would do
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It needs to be parametric in a simple way. This would be without the rollback - these functions look already familiar.
These are the data from coords.txt - a file that's created in the ABEC/Results subdirectory. Point coordinates can be exported from Ath in several ways, that's no problem at all.
These are the data from coords.txt - a file that's created in the ABEC/Results subdirectory. Point coordinates can be exported from Ath in several ways, that's no problem at all.
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Looking at the picture #9,154, the red curve could be a blend (weighted average) between two hyperbolas and for the blue curve a somehow skewed parabola could do. I might try after all. I just thought that for someone mathematically inclined here this could be a challenge. Remember the equations could bear your name (if they were pretty enough)
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