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General-purpose parameter optimization software "AMDESS"

General-purpose parameter optimization software "AMDESS"

Improve work efficiency with a dedicated GUI! Efficiently analyze multiple challenges such as performance, cost, and safety.

"AMDESS" is a general-purpose parameter optimization software aimed at achieving optimization easily and in a short time. It can be executed easily using an Excel-based interface, automating the input and output to streamline design improvements and decision-making. By using approximate models for the relationships among multiple parameter responses, it derives suitable values that meet requirements for various problems, providing hints to designers. 【Features】 ■ Sequential update response surface method ■ Dedicated GUI/interface for improved work efficiency ■ Compatible with various pre-post and solvers ■ Recommended for nonlinear problems *For more details, please refer to the related links or feel free to contact us.

  • Other analyses

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Example: Material Data Correlation - Identification of Heat Transfer Coefficient

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 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 square of the 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.

  • Other analyses
  • Contract Analysis
  • simulator

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