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Performing a thermal correlation analysis on a transient problem
In this tutorial, you will learn how to set up and solve a thermal correlation analysis, analyze the results, and update the model with the optimized results for a transient problem.
13. Analyze the optimized solution results.
You will load and analyze the optimized solution results after solving the thermal correlation analysis.

Tutorials
- TMG Correlation tutorials
  These examples are designed to help you become familiar with some of the major features available in TMG Correlation.
- Performing a thermal correlation analysis on a steady state problem
  In this tutorial, you will learn how to set up and solve a thermal correlation analysis, analyze the results, and update the model with the optimized results for a steady-state problem.
- Performing a thermal correlation analysis on a transient problem
  In this tutorial, you will learn how to set up and solve a thermal correlation analysis, analyze the results, and update the model with the optimized results for a transient problem.
  - 1. Open the Simulation file.
    In addition to opening the file used for this tutorial, you will reset the dialog boxes to ensure that they are in the expected initial state.
  - 2. Examine the model.
    Use the Simulation Navigator to explore the model.
  - 3. Create a thermal correlation analysis.
    You will create a thermal correlation analysis in Simcenter 3D or NX using TMG Correlation.
  - 4. Define the sensors.
    You will create four sensors by importing reference data from a CSV file and by using existing points created previously in the original model.
  - 5. Pair the sensors with the simulation model.
    You will pair the sensors with the elements of the simulation model using the proximity method.
  - 6. Inspect the difference between the reference data and the original solution.
    You will compare the reference temperatures and the original solution temperatures to see the temperature difference between your model and the satellite test data while running the thermal correlation analysis.
  - 7. Create the design variables.
    You will use the multiplier and substitution methods to create design variables from the boundary condition parameters that are present in the correlated solution.
  - 8. Set up the targets.
    You will set the weight factor of the bus targets for the optimization process.
  - 9. Define the optimization design variables.
    You will specify the minimum, and maximum values of the four design variables you previously created to limit their variation during the optimization process.
  - 10. Set up the solver settings.
    You will define the TMG Correlation solver parameters for the optimization.
  - 11. Solve the thermal correlation analysis.
    You will launch the optimization of the active thermal correlation analysis.
  - 12. Plot the thermal correlation graph during the optimization process.
    The Solution Monitor dialog box is still open from the previous step. During the solve, you will plot the evolution of the objective function and the evolution of the design variables gradient.
  - 13. Analyze the optimized solution results.
    You will load and analyze the optimized solution results after solving the thermal correlation analysis.
  - 14. Plot the optimization results.
    You will compare the reference, original, and optimized temperature values for four targets after solving a thermal correlation analysis on the same plot.
  - 15. Update the simulation model.
    You will update and save the new simulation model that contains the optimized design variable values applied to the related parameters.

13. Analyze the optimized solution results.

You will load and analyze the optimized solution results after solving the thermal correlation analysis.

Choose Menu > TMG Correlation > Correlation.
In the TMG Correlation dialog box, select the Optimization > Results node.
Click Load Optimization Solution Results.
In the Convergence group, notice the values in the Final Objective Function box that displays the absolute error between the computed and the target temperatures averaged over time and targets, when the solve is finished.
In the Optimized Design Variables group, in the Final Value column, notice the value of the heat load design variable.
The software uses this value as the heat load boundary condition when you update the model at a later step.
In the Final Value column, notice the heat transfer coefficient design variable.
The software multiplies this value with the heat transfer coefficient boundary condition present in the original solution to obtain the final value of the heat transfer coefficient boundary condition when you update the model at a later step.