Drag constant, flow regimes, CFD

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The discussion focuses on approximating drag constants for bullets, highlighting the limitations of the McDrag program, which only accommodates predefined shapes and basic drag models. While full CFD is complex, a simplified version could enhance accuracy beyond McDrag. Key drag sources identified include friction drag, pressure drag, and wave drag, with specific considerations for incompressible and compressible flows. The feasibility of creating a custom CFD program for radially symmetrical projectiles is questioned, alongside the challenges of using existing open-source tools like OpenFoam. The possibility of conducting personal experiments to empirically determine drag constants is explored, although concerns about fluid dynamics knowledge and data compilation remain.
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In my effort of approximating drag constants for bullets, I have come across the McDrag program, by Robert L. McCoy. The disadvantage is that it approximates drag constants based on a few predefined shapes and a drag model (e.g. G1, G7), limiting it to only the simplest of bullets.

Fully fledged CFD is beyond my level of knowledge and skill, but some level of CFD would probably be very useful, and certainly better than McDrag alone. I have been reading NASA's Beginner's Guide to Aeronautics (http://www.grc.nasa.gov/WWW/K-12/airplane/guided.htm) and other sources to learn of the various sources of drag in different flow regimes.

Only the nonthermodynamic drag constant is of interest and below Mach constant 0.5 (or maybe even as low as 0.3) and above 5.0, the nonthermodynamic drag constant can be assumed to be constant.

From what I have learned, the important sources of drag are:
  • friction drag (skin friction)
  • pressure drag (form drag)
    • incompressible flow
    • compressible flow
  • wave drag

Friction drag is determined by the boundary layer, viscous properties of the medium, and the wetted surface. Pressure drag is due to the pressure gradient over the body, arising from the fluid flow around the body. In compressible flow the change in mass density must be taken into account. Wave drag is due to the generation of shock waves over the body.

For radially symmetrical projectiles (bullets), and with a very narrow field of required CFD, would it still be impractical/difficult to create a lean and efficient program to approximate drag constants of bullets over the range k_M=0.5(0.3)-5.0?

Or would I ultimately resort to third-party, naughtily complex, messy, and bloated libraries/toolsets to accomplish my goal?
 
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If I recall correctly, CFD is not very good at calculating drag, usually being around 30% off experimental values. It could give you a starting point though.

I've been working with an opensource CFD program called OpenFoam for a couple of weeks, but it's a bit complicated and it's taking a while to figure it out (it's not really GUI based). Another is Code-Saturn which could als give you some results. Problem with CFD is that is very much trash in is trash out. If you don't know what you're doing, the results can look nice, but mean nothing.

Any chance of doing your own experiments?
 
I would love to construct a small "wind tunnel" of my own, and conduct expirments to empirically determine the drag constant of various shapes at various velocities. If I understood it correctly, using the Reynolds constant:

Mach 0.3-5.0 (approx. 102-1700 m/s) in standard atmosphere, T=288.15 K, ρ=1.225 kg/m^3, μ=1.812e-5 Pa·s;

using an enlarged scale model of a bullet (200 mm long);

is equal to 0.765-12.749 m/s in water, T=288.15 K, ρ=999 kg/m^3, μ=1.108e-3 Pa·s.

There are also plenty of diagrams depicting the drag constant of a sphere over Reynolds and Mach constant which would be used to calibrate the experiment. This means it could *MAYBE* be possible to construct such an experiment.

However, I don't know quite enough about fluid dynamics to truly know if this would really work, if the similarity parameter is correct...? What about wave drag? The velocity of sound differs in air and water...

The next problem would be how to compile the data...once I have drag constants for various shapes and have created empirical algorithms for it...how do I combine a cylinder with a tangent nose? I doubt it's possible to just add them together.
 

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