Example: Material Data Correlation - Identification of Heat Transfer Coefficient

We identify parameters that change with environmental and analytical conditions. Not only the heat transfer coefficient but also the stress-strain curve in elastoplastic analysis can be identified!

The heat transfer coefficient depends on the surrounding environment and is not unique to the material, making it difficult to determine its value. If a heat transfer coefficient that can reproduce the measurement results can be identified, it is expected that good simulation results can be obtained for another model under similar environmental conditions. In this case, the general-purpose parameter optimization software "AMDESS" was linked with "Nastran" to identify the heat transfer coefficient. As a result, the temperature at the evaluation points matched the target value within an error of 0.3%, and the heat transfer coefficients for each surface were obtained. 【Optimization Conditions】 ■ Design Variables - Heat transfer coefficients for each surface (h1 to h6) - Range: 10.0 to 70.0 [W/m²K] ■ Objective Function: Minimize the squared error from the target temperature at each evaluation point = Bring the calculated temperature closer to the specified target temperature *For more details, please refer to the PDF document or feel free to contact us.

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