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This page contains links to thermal solver manuals that explain how the solver operates and how to use its various features.
Card 9 - PARAM Parameters
This optional card defines solution parameters for the TMG Correlation model.

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- Introduction to TMG Correlation
- TMG Correlation workflow
- TMG Correlation interface
  The TMG Correlation user interface is integrated in Simcenter 3D using NX Designcenter Open and contains unique features to conduct a thermal correlation analysis, in addition to standard tools and commands described in the Simcenter 3D Online help and the NX Designcenter Online help.
- Thermal correlation analysis preparation
  Before conducting a thermal correlation analysis, it is important to properly prepare your simulation model and the reference data.
- Understanding thermal correlation analysis
  The thermal correlation is a calibration process that helps you find the best thermal solution that minimizes the error between the computed and target temperatures at different locations and times.
- Managing the reference data
  In TMG Correlation, reference data refers to the temperature and time data that come from experimental tests or from prior and validated simulation models. They are named sensors and are used as targets for the optimization of the correlated solution.
- Understanding design variables
  A design variable is a simulation quantity of your model that the TMG Correlation solver varies within a specific range during the optimization to reduce the gap between the reference data and the simulation results.
- Setting up the optimization
  In optimization, the goal is to find values for the design variables that minimize the difference between the reference data and the correlated solution results.
- Monitoring the optimization
  Use the Solution Monitor and Solution Control Monitor to track the analysis during the solve. The monitors provide solver-specific information for the TMG thermal solver and the thermal correlation analysis.
- Analyzing the optimization results
  After you solve a thermal correlation analysis, you can analyze the results of the optimization process in the TMG Correlation dialog box.
- Updating the simulation model
  After you verified the optimization results, you must update the simulation model to reflect any changes that were made during the thermal correlation analysis so that you can continue your modeling in Simcenter 3D.
- Theory
  The TMG Correlation solver uses different optimization aglorithms to solve the objective function based on the governing equation; all described in this section.
- Reference manuals
  This page contains links to thermal solver manuals that explain how the solver operates and how to use its various features.
  - Card 9 - DESIGN_VARIABLE
    This optional card specifies the parameters and options for defining optimization design variables that are used in the thermal correlation analysis.
  - Card 9 - CORRELATION_TARGET
    This optional card specifies the parameters and options for defining correlation targets created from analysis sensors that are used in the thermal correlation optimization procedure.
  - Card 9 - PARAM Parameters
    This optional card defines solution parameters for the TMG Correlation model.
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Card 9 - PARAM Parameters

This optional card defines solution parameters for the TMG Correlation model.

Parameters: KODE, N1, T1, T2

N1 = CORRELATION_CONVERGENCE

N1 = CORRELATION_CONVERGENCE (or 210) specifies the convergence criterion for the objective function in a thermal correlation optimization.

If the convergence criterion is constant, then its value is specified in T2. The thermal solver then uses this constant convergence value as the allowable normalized error between the computed and target temperatures for the thermal correlation analysis.
If the convergence criterion is table-dependent, then T2 is a table multiplier and T3 has the form Tn, for example, T25, where n is a table number referencing the TABTYPE or FIELDTYPE cards. The thermal solver uses a time-dependent convergence criterion that you define in the convergence criterion table. The convergence value at any intermediate point is obtained by linear interpolation of the table data.