Composition-dependent viscosity and thermal conductivity models for incompresible flows

[Cristopher-Morales]

Proposed Changes

Give a brief overview of your contribution here in a few sentences.

Part 2/3 of fluid mixing model. In this part, viscosity, thermal conductivity and other properties based on species mass fractions have been added.

Related Work

Resolve any issues (bug fix or feature request), note any related PRs, or mention interactions with the work of others, if any.

It is the continuation of the previous pull request of mixing density #1620.

PR Checklist

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• [X ] I am submitting my contribution to the develop branch.
• [X ] My contribution generates no new compiler warnings (try with the '-Wall -Wextra -Wno-unused-parameter -Wno-empty-body' compiler flags, or simply --warnlevel=2 when using meson).
• [X] My contribution is commented and consistent with SU2 style.
• [X] I have added a test case that demonstrates my contribution, if necessary.
• [ ] I have updated appropriate documentation (Tutorials, Docs Page, config_template.cpp) , if necessary.

[pcarruscag]

Please give this PR a title that better describes the functionality you are introducing. I think I did that for you previous PR

[bigfooted]

@Cristopher-Morales Can you check what is happening with the failed species regression test? Is this the original regression test from the previous PR?

[pcarruscag]

Aside from my last two comments, and the possibility I broke the code :), this looks ready. Is this missing anything, or is it ready to merge?

[Cristopher-Morales]

Aside from my last two comments, and the possibility I broke the code :), this looks ready. Is this missing anything, or is it ready to merge?

Thank you so much @pcarruscag for your feedback. there is one thing left, it is about the residuals of the test case (species2_primitiveVenturi_mixingmodel.cfg) that I added in the previous pull request, they have changed exceeding in some outputs the tolerance 0.00001 with respect to the values stored in the parallel_regression.py, however the test case converges very well, so could it be possible to modify the values stored in that test case in order to not have this discrepancy between values stored and computed? Thank you so much in advance!!

[pcarruscag]

Have you run that case to convergence before and after and compared the outputs it is computing? If it converges to the same values it's fine.