基于栅格法的工业CT图像直接生成六面体网格方法

DIRECT GENERATION OF HEXAHEDRAL MESHES FROM INDUSTRIAL CT IMAGES BASED ON GRID-BASED METHOD

  • 摘要: 针对目前通过工业CT图像生成六面体网格模型效率低、成本高的问题,该文提出一种基于栅格法的工业CT图像直接生成六面体网格的方法。使用八叉树对工业CT图像进行初始网格划分,提取核心网格;基于工业CT图像边界灰度值变化特点,提出一种表面拟合方法生成边界单元;采用拉普拉斯平滑对边界单元进行质量优化;使用齿轮、支座和托架的工业CT图像进行实验。结果表明,生成的六面体网格雅可比比率范围为1~4,且雅可比比率在1~2的单元占比达95%,满足有限元分析的要求。该文方法能够将工件的工业CT图像直接生成六面体网格模型,和传统逆向工程方法相比,无需重建CAD模型,效率更高。

     

    Abstract: In view of the issues of low efficiency and high cost in creating hexahedral mesh models from industrial CT images, a method to directly generate hexahedral meshes from industrial CT images is proposed based on grid-based method. Octree is utilized to divide initial meshes from the industrial CT images and extract the core mesh; A surface fitting method is proposed to generate the boundary elements based on the difference of the industrial CT images boundary gray scales; Laplacian smoothing is used to optimize the quality of boundary elements; Experiments are carried out using industrial CT images of gear, support and bracket. The results indicate that the Jacobi ratio of generated hexahedral meshes ranges from 1 to 4, 95% of the units have a Jacobi ratio between 1 and 2, and the method can meet the requirements of finite element analysis. This method can directly generate hexahedral mesh models from industrial CT images of workpieces, and is more efficient compared with traditional reverse engineering methods because there is no need to rebuild the CAD model.

     

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