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[Case Study] Shape optimization to improve natural frequency ★ Detailed materials available

[Case Study] Shape optimization to improve natural frequency ★ Detailed materials available

Control the natural frequency while considering the MAC value. Utilize parallelization to handle large-scale models in a short time.

By changing the shape, we improve the natural frequency and resonance frequency. Additionally, we have added conditions to allow for die-cutting in accordance with manufacturing requirements. In recent years, the performance of PCs has increased, and the scale of models required for finite element analysis has also grown larger. In such cases, utilizing parallelization allows for significant time reduction. This time, we performed shape optimization of a large-scale model with over one million nodes using parallelization. 【Analysis Model】 ■ Elements: Tetrahedral second-order elements ■ Number of elements: 653,931 ■ Number of nodes: 1,026,428 <Related Keywords> - Rib shape - Matching while considering MAC values - Controlling eigenvalues *For more details, please refer to the PDF document or feel free to contact us.

  • Structural Analysis
  • Contract Analysis
  • Other analyses

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Example: Warpage countermeasures for connectors in injection molding.

Example: Warpage countermeasures for connectors in injection molding.

By collaborating with 3D TIMON, we automatically adjust the thickness of solid element models, thereby suppressing warping deformation.

We will introduce a case where warping was minimized by changing the thickness of solid elements. The analysis was conducted using the "basis vector method," which modifies the shape by moving the nodes of the finite element model without using CAD. Several patterns (basis vectors) of the desired shape were prepared from the initial model and combined. As a result of the optimization, the sum of squares of warping improved by 33% to 4.9480e-004 compared to the initial shape, and the maximum warping amount (mm) improved by 12% to 3.8607e-002. [Case Overview] ■ Optimization Conditions - Design Variables: Thickness A, B - Sampling: Initially LHS 20 points, Approximate optimal solution + 10 recommended points - Approximate Model: CRBF (Convolutional RBF) ■ Analysis: Basis Vector Method *For more details, please refer to the PDF document or feel free to contact us.

  • Other analyses

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[Case Study] Shape optimization to increase resonance frequency ★ Detailed materials available

[Case Study] Shape optimization to increase resonance frequency ★ Detailed materials available

Control the natural frequency while considering the MAC value. Utilize parallelization to handle large-scale models in a short time.

By changing the shape, we improve the natural frequency and resonance frequency. Additionally, we have added conditions to allow for die-cutting in accordance with manufacturing requirements. In recent years, the performance of PCs has increased, and the scale of models required for finite element analysis has also grown larger. In such cases, significant time reductions can be achieved by utilizing parallelization. This time, we performed shape optimization of a large-scale model exceeding one million nodes using parallelization. 【Analysis Model】 ■ Elements: Tetrahedral second-order elements ■ Number of elements: 653,931 ■ Number of nodes: 1,026,428 <Related Keywords> - Rib shape - Matching considering MAC values - Control of eigenvalues *For more details, please refer to the PDF document or feel free to contact us.

  • Structural Analysis
  • Contract Analysis
  • Other analyses

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