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holo

Execution failed error with steady state thermal project

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Nevermind, I found the error. I needed to set all face regions with the same parameters, then it worked somehow.

 

 

 

 

I'm trying to create a cosimulation with a Steady State Magnetic 2D project and a  Steady State Thermal 2D project. The magnetic project is going well, I reach the step 4 in the guide that's on the documentation but I'm having a hard time with the thermal project. I've deleted the circuit physics of the project and then deleted the application type to create a new type with Steady State Thermal. I've already set everything regarding materials and mechanical sets.  I've created  the Spatial Quantity  JOULE and I've updated the definition of the Face Regions for the coils.

 

Right now I'm not sure what I'm doing wrong... Do you have any guide about thermal analysis with flux?

 

This is the output of the error that happens when I execute "Check Physics":

OCRI04   => Number RB.F3D.THERMIQUE_SURF_2D_I(0) out of bounds
OCRI04   => Retrieval of INTEGER attribute aborted
RG_R_OPAQ => failed
RGFMA1   => Failed
RGFTOU   => failed
FL6VPB   => Failed ...
FL6VPB_1 => Failed ...
executeAlgo_c => failed
stdcom.error.SoftwareFortranException: executeAlgo_c : Execution failed.
Failed execution
    at cad.core.common.error.ErrorManager.createFortranException(ErrorManager.java:153)
    at cad.flux.kernel.dbmanager.FGCProjectDbWrapper.executeAlgo(Native Method)
    at cad.flux.kernel.dbmanager.FGCProjectDbAdapter.executeAlgo(FGCProjectDbAdapter.java:883)
    at cad.flux.kernel.dbmanager.FGCDbManager.executeAlgo(FGCDbManager.java:151)
    at cad.flux.kernel.FGSupervisor.executeNativeCommand(FGSupervisor.java:2153)
    at cad.core.kernel.Supervisor.executeCommand(Supervisor.java:1978)
    at sun.reflect.GeneratedMethodAccessor367.invoke(Unknown Source)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.python.core.PyReflectedFunction.__call__(PyReflectedFunction.java:186)
    at org.python.core.PyReflectedFunction.__call__(PyReflectedFunction.java:204)
    at org.python.core.PyObject.__call__(PyObject.java:507)
    at org.python.core.PyObject.__call__(PyObject.java:511)
    at org.python.core.PyMethod.__call__(PyMethod.java:156)
    at pydb$py.executeCommand$199(pydb.py:1560)
    at pydb$py.call_function(pydb.py)
    at org.python.core.PyTableCode.call(PyTableCode.java:167)
    at org.python.core.PyBaseCode.call(PyBaseCode.java:170)
    at org.python.core.PyFunction.__call__(PyFunction.java:434)
    at org.python.core.PyMethod.__call__(PyMethod.java:156)
    at pydb$py.__call__$172(pydb.py:1375)
    at pydb$py.call_function(pydb.py)
    at org.python.core.PyTableCode.call(PyTableCode.java:167)
    at org.python.core.PyBaseCode.call(PyBaseCode.java:307)
    at org.python.core.PyBaseCode.call(PyBaseCode.java:198)
    at org.python.core.PyFunction.__call__(PyFunction.java:482)
    at org.python.core.PyMethod.instancemethod___call__(PyMethod.java:237)
    at org.python.core.PyMethod.__call__(PyMethod.java:228)
    at org.python.core.PyMethod.__call__(PyMethod.java:223)
    at org.python.core.PyObject.invoke(PyObject.java:3697)
    at org.python.core.PyInstance.instance___call__(PyInstance.java:377)
    at org.python.core.PyInstance.__call__(PyInstance.java:372)
    at org.python.core.PyObject.__call__(PyObject.java:456)
    at org.python.core.PyObject.__call__(PyObject.java:460)
    at org.python.pycode._pyx324.f$0(<input>:1)
    at org.python.pycode._pyx324.call_function(<input>)
    at org.python.core.PyTableCode.call(PyTableCode.java:167)
    at org.python.core.PyCode.call(PyCode.java:18)
    at org.python.core.Py.runCode(Py.java:1398)
    at org.python.core.Py.exec(Py.java:1442)
    at org.python.util.PythonInterpreter.exec(PythonInterpreter.java:276)
    at cad.core.kernel.components.PythonWrapper.runCode(PythonWrapper.java:628)
    at cad.core.kernel.components.PythonWrapper.runsource(PythonWrapper.java:623)
    at cad.core.kernel.components.PythonWrapper.runsource(PythonWrapper.java:598)
    at cad.core.kernel.components.PythonWrapper.runsource(PythonWrapper.java:593)
    at cad.core.kernel.components.PythonWrapper.execute(PythonWrapper.java:638)
    at cad.core.kernel.components.PythonWrapper.executeFunction(PythonWrapper.java:706)
    at cad.core.kernel.encoder.CommandServerRequestsInputPlug.executeCommand(CommandServerRequestsInputPlug.java:79)
    at stdcom.protocole.commandserverrequests.CommandServerRequestsRouter.executeCommand(Unknown Source)
    at stdcom.protocole.commandserverrequests.CommandServerRequestsOutputPlug.executeCommand(Unknown Source)
    at cad.core.frontal.decoder.FrontalDecoder.executeCommand(FrontalDecoder.java:690)
    at cad.core.frontal.actions.implementation.GeneralAction.executeBox(GeneralAction.java:286)
    at cad.core.frontal.actions.implementation.GeneralAction.act(GeneralAction.java:228)
    at cad.core.frontal.actions.implementation.ModlessImplementer.internalRun(ModlessImplementer.java:60)
    at cad.core.frontal.frontalthread.WorkerThread.executeImplementer(WorkerThread.java:226)
    at cad.core.frontal.frontalthread.WorkerThread.run(WorkerThread.java:274)

 

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Hello, Holo.

Anyway if you want more information about this kind of coupling you can find a complete example in Altair Flux supervisor, just go to 2D -> Open Example -> Brushless IPM motor -thermal analysis -> Magneto thermal Flux-Flux co-simulation (image attached) .

It may be useful for you.

Best regards.

 

image.png

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