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A Comprehensive Review of FEA Applications in Mold Design and Manufacturing
Innovative CAE Analysis Method for Mold Innovation, Enhancing Mold Efficiency Through Theory-Practice Integration. For serialized products, parametric design principles can be applied to adjust structural analysis models. By integrating parametric design with finite element structural analysis, structural parameters can be generated, automatically generating analysis models and completing structural evaluations. This significantly optimizes product structures, shortens design cycles, improves mold production quality, and reduces lead time for mold fabrication.
Finite Element Analysis (FEA) Solution
Description of critical issues encountered during the project, along with resolution processes and methodological approaches. The fundamental principle of the Finite Element Method (FEM) involves structural discretization—representing complex objects with a finite number of analyzable elements interconnected through nodes, then solving the system under deformation compatibility conditions. It is called the 'Finite Element Method' because both the element count and node count are finite. For CAE systems based on FEM, structural discretization remains the core concept. Empirical data indicate the following time allocation in CAE workflows: 40%-45% for model preparation and data input, 50%-55% for interpreting and evaluating results, while only about 5% is spent on actual computational analysis.
CAE material database establishment
Documentation of common materials and analysis results. Conduct retrospective analysis using final product comparisons to establish product standards .
Finite Element Analysis (FEA) Case Studies
Deep drawing die analysis
Springback analysis for large bending dies
Trim line reverse calculation analysis
Large hole flanging deformation analysis
Impact of Finite Element Analysis on Mold Production
By utilizing finite element analysis, production efficiency has been improved, the mold development cycle has been shortened, potential issues were simulated and corrected in the pre-molding phase through data adjustments, employee productivity has been enhanced, workload intensity has been reduced, and overall mold development costs have been lowered.
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