[br35cu29]

Hi all!

I'm using PyFluent to launch Fluent and automate my setup.

My project involves simulating chillers on a roof. I am representing airflow through the chillers with recirculating inlet and outlet boundary conditions. As far as I am aware, the only way to enable this feature in Fluent is by entering the following two commands through the TUI:

(rpsetvar 'icepak? #t)
(models-changed)

I can set and change common boundary types simultaneously for multiple surfaces quite easily in Fluent Meshing, but I can't find recirculating conditions there. So, in my PyFluent setup script, I change the necessary boundary types using the following example command:

solver.tui.define.boundary_conditions.modify_zones .zone_type('my_boundary_name', 'recirculation-inlet')

The challenge I'm encountering is that I have hundreds of recirculating inlet-outlet pairs. Changing boundary types in Fluent not only appears to be a slow process, but it also scales exponentially with increasing numbers of boundaries to change. For example, when I tried to change ~800 boundaries in a for-loop, it took about 175 seconds to change each boundary; on track to complete the loop after ~44 hours. After grouping some boundaries together so that I only had ~90 boundaries to change, it was taking only 16 seconds to change each boundary; on track to complete after <20 mins.

In my current project, I have ~350 boundaries to change, which takes about 5 hours. This is right on the edge of what is feasible given the number of models I need to setup.

Using either Fluent, Fluent Meshing, or the traditional Ansys Mesher, is there a more efficient way to change these boundaries?

Much appreciated!!