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Hi, Lukasz. I'm reading your paper "Mean flow reconstruction of unsteady flows using physics-informed neural networks", and i'm very impressed by some of your ideas.
I noticed that you compared the friction coefficient predicted by PINN with the experimental reults from Dimopoulos and Hanratty (1968). But i didn't find the friction coefficient data from the reference paper and in your repository, i wonder if it's possible you can provide these data, and make a brief introduction of your process procedures. It would be a great help.
The text was updated successfully, but these errors were encountered:
Hi,
in Section 5 of Dimopoulos and Hanratty (1968) you have a following formula:
and Figure 9 shows the relation between X and position on the airfoil theta. From the figure, you can make a table with values of X for each theta. I did it myself but you should take it from the source, there is software to do that.
What is left to do is to transform X into the friction coefficient. Using the standard notation for velocity, Reynolds number, dynamic viscosity etc., we write:
where Re is 151.
I hope this helps. For further questions, email me on [email protected].
Hi, Lukasz. I'm reading your paper "Mean flow reconstruction of unsteady flows using physics-informed neural networks", and i'm very impressed by some of your ideas.
I noticed that you compared the friction coefficient predicted by PINN with the experimental reults from Dimopoulos and Hanratty (1968). But i didn't find the friction coefficient data from the reference paper and in your repository, i wonder if it's possible you can provide these data, and make a brief introduction of your process procedures. It would be a great help.
The text was updated successfully, but these errors were encountered: