where is the fundamental frequency of the pipe, is the pressure of the air in the pipe, is the diameter of the pipe, is the density of the air in the pipe, is the cut-up height of the pipe, is the jet initial thickness, and is the velocity of the air in the pipe (which is related to the dynamic pressure of the air in the pipe).
We have tried some different approaches with the data we have. We have built a simple neural network model to predict the Ising Number using a specific softmax-softplus layer. My colleagues are working on GAMs and other models (for modeling the partials and the Ising Number).
Nevertheless a simple idea we haven't fully explored is a (physics-informed) correction formula for the Ising Number, based on the flow rate conservation equation. Basicaly, it pertains a continuity equation where , where and are the cross-sectional areas of the pipe at two different points, and and are the velocities of the air at those points.
As the air flows through a system and goes through the toe hole, a modified Ising Number can be defined as
where is the cross-sectional area of the system where the velocity is measured, and is the cross-sectional area of the toe hole.