In 2013, I wrote a blog showing ANSYS users how to make MATLAB apps for ANSYS Fluent. Just as a quick reminder, a friend of mine, who is also an ANSYS Fluent and Mechanical APDL user has a Windows Matlab code programming a Linux Fluent session. She had just updated her hardware. Everything is moved to Linux. She also needed to integrate a Mechanical APDL session.

She was asking me: “Why, can’t I port my MATLAB®  code running on the platform of my choice and be able to also connect to Mechanical APDL?” She challenged me to to create a less than 20 lines code example. Back in 2013, my example was for ANSYS 16.0. Here is my update for ANSYS 17.0.

Software:

1. Fluent
2. Mechanical APDL
3. Workbench
4. MATLAB

Hardware:

1. Network of computers with ANSYS or MathWorks software installed

Instructions:

1. Download ANSYS aaS Matlab toolbox (supports Matlab R2014b to 2016a) from ANSYS Customer Portal
   • ANSYS as a Server Example: MATLAB Setup (MatlabR2014b-2016a)
2. Open the folder where the mltbx has been downloaded in a Matlab folder view.
   • double click on it and follow instructions to install
3. Start the ANSYS products in aaS mode
   • Read the downloaded pdf for suggestions
4. Collect the aaS keys (aas_FluentId.txt, aaSMapdlId.txt and aaS_WbId.txt)  and transfer them to the MATLAB machine
   • These are the “keys” required to connect with ANSYS aaS products.
5. Now let’s code. What should it do? Well, I will keep it simple: one command per ANSYS product:
   • ask a report from Fluent
   • set a variable in Mechanical APDL
   • retrieve the Workbench Schematic

%initialize aaS
orb=initialize_orb();
load_ansys_aas();

%connect to ANSYS products
iCoFluentUnit=actfluentserver(orb,‘aaS_FluentId.txt’);
iCoMapdlUnit=actmapdlserver(orb,‘aaS_MapdlId.txt’);
actwbserver(‘aaS_WbId.txt’)

%execute a Fluent TUI command
iFluentTuiInterpreter=iCoFluentUnit.getSchemeControllerInstance();
fluentResult=iFluentTuiInterpreter.doMenuCommandToString(‘report summary’)

%execute a Mechanical APDL command
mapdlResult=char(iCoMapdlUnit.executeCommandToString(‘aas_param=22’))

%retrieve the content of the remote Workbench Schematic
execwbcommand(‘systems=GetAllSystems()’)
querywbvariable(‘systems’)

Well, all in all I used only 19 lines of code. My friend added her own code to create her elegant and efficient so-simulation.

Thank you for reading.

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