Test the 2D or 3D shock-droplet with "sigma"

[VaLiuqqq]

Hello,

When I tested 2D or 3D shock-droplet with "sigma", the number of cfl was more than 1.Then I changed the code to adaptive dt.

But when I changed to adaptive dt, the delta t is too small. Why does this problem arise? And How do I deal with this problem?

Is there anyone who can answer my question?

Best wishes!

[sbryngelson]

Perhaps @wilfonba has tested this case.

[VaLiuqqq]

Hello @wilfonba ,
Do you know the cause of this problem and how to correct it?

[sbryngelson]

post your full case file

[VaLiuqqq]

Since .py file uploads are not supported, I pasted the code into .txt file.

There are no major changes to the program. Only the part about "sigma" was modified and the adaptive dt was added.

2D.txt
3D.txt

[wilfonba]

You didn't specify %cf_val for each patch as demonstrated in examples/2D_laplace_jump. The documentation seems to have neglected this, so I'll open an issue and correct it when I get a chance.

[VaLiuqqq]

What does %cf_val mean? That's not in the documentation?

[wilfonba]

It's the color function value for each phase. The model is described in this paper and reiterated in this conference proceeding.

[wilfonba]

You should also update to the most recent version and add 'surface_tension' : 'T', to your case files as implemented in #688

[wilfonba]

When I close #724 it will require this case file parameter

[sbryngelson]

Resolved by @wilfonba and @sbryngelson