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Thermal correlation analysis preparation
Before conducting a thermal correlation analysis, it is important to properly prepare your simulation model and the reference data.
Multiple sensor data CSV format
You define the sensor data for all sensors at once in a comma-separated values (CSV) file and import the file to create sensors for a thermal correlation analysis. The CSV file contains the sensors’ name, coordinates, and temperature for each specified time.

User help
- Introduction to TMG Correlation
- TMG Correlation workflow
- TMG Correlation interface
  The TMG Correlation user interface is integrated in Simcenter 3D using NX 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 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.
  - Supported Simcenter 3D solvers and solutions
    The following table lists the solver environments and solution types supported by TMG Correlation for a thermal correlation analysis.
  - Preparing reference data
    A thermal correlation analysis requires reference data in the TMG Correlation interface.
  - Multiple sensor data CSV format
    You define the sensor data for all sensors at once in a comma-separated values (CSV) file and import the file to create sensors for a thermal correlation analysis. The CSV file contains the sensors’ name, coordinates, and temperature for each specified time.
  - Single sensor data CSV format
    You can specify the reference data for named and user-defined points using separate comma-separated values (CSV) files that you import for a thermal correlation analysis. The CSV file contains the temperatures at specified times for a single sensor.
- 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 entity 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
- Legal notice
- License agreement

Multiple sensor data CSV format

You define the sensor data for all sensors at once in a comma-separated values (CSV) file and import the file to create sensors for a thermal correlation analysis. The CSV file contains the sensors’ name, coordinates, and temperature for each specified time.

Ensure that the sensor data units match the length, temperature, and time units of the original Simcenter 3D solution.

CSV file format

The parameters of the CSV file consist of the following information.


Parameter	Description
`<name_of_the_sensors>`	Specifies the name of each sensor. The CSV file must contain all sensor names on the first line as comma-separated values starting with the comma-separated symbol. The number of comma-separated entities on this line indicates the number of sensors used for a thermal correlation analysis.
`X`	Specifies the X-coordinate value for each sensor. The CSV file must contain all X-coordinates on the second line as comma-separated values starting with the X symbol. It should have the same number of X values as the number of sensors.
`Y`	Specifies the Y- coordinate value for each sensor. The CSV file must contain all Y-coordinates on the third line as comma-separated values starting with the Y symbol. It should have the same number of Y values as the number of sensors.
`Z`	Specifies the Z coordinate value for each sensor. The CSV file must contain all Z-coordinates on the fourth line as comma-separated values starting with the Z symbol. It should have the same number of Z values as the number of sensors.
`Time`	Specifies the times when the sensors data is taken.
`Temperature`	Specifies the temperature of each sensor.

Note:

The fifth line of the CSV file contains the header row with first value being Time followed by Temperature repeated sensor number times. All other lines contain the time and sensor temperature values.

Example

The following is an example of a CSV file containing names, coordinates, time, and temperature data for four sensors.

;TC_78;TC_254;TC_302;TC_330

X;-9.5833e+02;-1.1198e+03;-1.1198e+03;4.8017e+02

Y;2.2000e+03;1.7245e+03;1.7245e+03;1.1808e+03

Z;0.0000e+00;2.8609e+03;-2.8609e+03;-5.0000e+01

Time;Temperature;Temperature;Temperature;Temperature

16200;1.525e+01;2.181e+01;2.1810e+01;5.15e+00

49569;2.0794e+01;4.1486e+01;4.1487e+01;-1.0184e+01