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  3. Design and production support
  4. CAE
  5. Other analyses
  6. Example: Material Data Correlation - Identification of Heat Transfer Coefficient

Example: Material Data Correlation - Identification of Heat Transfer Coefficient

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last updated:Jun 21, 2024

くいんと
くいんと
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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.

    simulatorOther analysesContract Analysis
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Example: Material Data Correlation - Identification of Heat Transfer Coefficient

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  • Related Link - https://www.quint.co.jp/jp/pro/amd/amd_exm05.htm

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【Case Summary】 ■Analysis Model - Heat transfer boundaries set on 6 faces ⇒ 6 design parameters - 4 points per face and 4 points on the edge of the cylinder - A total of 28 surface temperatures identified ■Results - Identified heat transfer coefficients, with evaluation point temperatures closely matching measured temperatures - Stress-strain curves in elastoplastic analysis can also be identified *For more details, please refer to the PDF document or feel free to contact us.

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General-purpose parameter optimization software AMDESS catalog

General-purpose parameter optimization software AMDESS catalog

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くいんと

くいんと

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Kuin Co., Ltd. is a venture business company specializing in computational mechanics and CAE software development, established with a strong desire to "enter the overwhelmingly overseas-dominated CAE software field with original Japanese products." We are committed to originality and operate under the motto "Dreamy CAE from Japan," focusing on the development, sales, and support of our own CAE software. ≪Software≫ ● Structural Optimization Design OPTISHAPE-TS Useful structural optimization for various situations such as initial design stages and improvements of existing shapes. ● CAD Model Generation S-Generator Converts optimized shapes into CAD models. ● Image-Based Structural Analysis VOXELCON Directly models and analyzes CT images and STL data from CAD. ● General Parameter Optimization AMDESS Parameter optimization done in a way that feels like using spreadsheet software. ● SOLIDWORKS Add-in Structural Optimization Design HiramekiWorks Performs structural optimization within SOLIDWORKS and automatically generates CAD models of the resulting shapes.

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