一种二维拓扑优化结构的重构方法及设备

By employing binarization and contour simplification methods, the problem of low efficiency in generating parametric 3D models from topology optimization results was solved, achieving efficient CAD model generation and manufacturing preparation.

CN121033261BActive Publication Date: 2026-07-17HUAZHONG UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Filing Date
2025-07-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing topology optimization results are inefficient in generating parametric 3D models, difficult to process using traditional manufacturing methods, and the design process is time-consuming and inefficient.

Method used

The contour lines are extracted using binarization, combined with the marching square algorithm and Laplacian smoothing, and simplified using variational approximation. An optimization model is then established and iteratively solved to generate a parametric CAD model.

Benefits of technology

It achieves efficient conversion from topology optimization results to parametric CAD models, ensuring topological consistency of the contour and minimizing simplification errors, and supporting seamless integration of subsequent design and manufacturing processes.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121033261B_ABST
    Figure CN121033261B_ABST
Patent Text Reader

Abstract

本发明属于CAD模型几何重构相关技术领域,其公开了一种二维拓扑优化结构的重构方法及设备,步骤为:(1)将二维拓扑优化结构的密度场进行二值化处理,以获得完整的黑白图像;(2)基于marching square算法提取所述黑白图像的轮廓线,并确定轮廓线的内外环方向;(3)引入局部约束条件,对提取到的轮廓线进行拉普拉斯光滑处理;(4)基于变分近似方法对轮廓进行简化,将轮廓中的若干条直线合并成一条直线,并建立考虑简化误差的优化模型,对所述简化模型进行迭代求解以得到新的轮廓;(5)基于新的轮廓的几何信息及轮廓线的内外环自动构建草图轮廓,基于得到的草图轮廓生成三维CAD模型。本发明提高了重构效率。
Need to check novelty before this filing date? Find Prior Art