Large-curvature blade design optimization method based on rebound reversible deformation calculation

By optimizing the design parameters of the large-twist blades of the hydraulic torque converter through 3D scanning and simulation, the problem of low springback prediction accuracy was solved, and the blades were precisely formed and the production efficiency was improved.

CN121479941APending Publication Date: 2026-02-06BEIJING INST OF TECH
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Patent Information

Application Number
CN202511354286.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-22
Publication Date
2026-02-06

AI Technical Summary

Technical Problem

Existing technologies have low prediction accuracy and rely on experience when analyzing the springback problem of large twisted blades in hydraulic torque converters, resulting in large manufacturing errors and low production efficiency.

Method used

By acquiring actual springback data through 3D scanning and combining it with finite element simulation and process automation optimization software, the blade design parameters are automatically optimized, including reverse modeling, data filtering, model alignment, inverse deformation calculation and simulation, to generate optimized sheet metal dimensions and process parameters.

Benefits of technology

It has enabled precise forming of hydraulic torque converter blades, improved production efficiency and finished product performance, reduced reliance on manual experience, and significantly improved the accuracy of springback prediction.

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Abstract

The invention discloses a large-curvature blade design optimization method based on rebound reversible deformation calculation, and relates to the technical field of stamping processing, and the method comprises the following steps: carrying out three-dimensional scanning and reverse modeling on a large-distortion stamping blade sample to obtain actual stamping rebound data, and carrying out statistical analysis on the actual stamping rebound data; on the basis of actual production data, a blade reversible deformation design rule and an empirical formula are obtained, a blade design parameter correction value is calculated, automatic blade modeling is achieved through three-dimensional modeling software, and the blanking, stamping and springback processes are simulated in combination with finite element simulation software; and in combination with process automation optimization software, the plate size for blade stamping is obtained through calculation, and the stamping process is optimized. According to the method, blade reversible deformation design data and a stamping optimization process are obtained through process automation software, a stamping displacement, stress and strain cloud picture and a springback displacement cloud picture can be generated, the blade stamping plate size can be obtained, design reference and guidance are provided for accurate stamping forming of the blade, and the production efficiency is improved.
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