3D打印复杂点阵结构的缺陷三维可视化方法

针对3D打印的复杂点阵结构容易出现裂纹、未熔合或孔洞等缺陷,严重影响结构件的功能性能问题,开展了对3D打印的一种复杂点阵结构件的缺陷三维可视化检测方法研究。基于CT图像中结构件内部缺陷的灰度值差异特征,采用集合灰度值法自动识别一类缺陷并分割提取,由光线投射法对分割得到的缺陷序列图像进行三维重构。实验结果表明:所提方法有效获得了点阵结构件内部一种典型缺陷的三维可视图,从三维角度可对缺陷的形状、大小等形貌细节信息进行描述,为进一步分析缺陷对结构性能的影响提供了有力的依据。

3D Visualization Method for Complex Lattice Structure Defects in 3D Printing

Due to the complex lattice structure of 3D printing is prone to defects such as cracks, unfused or holes, and its seriously affect the functional performance of structural parts, a 3D visual inspection method for 3D printed defects in a complex lattice structure was studied. Based on gray value difference feature of internal defect in CT images of lattice structure, a class of defects were automatic identified and segmented by using the collective gray value method, and the segmented defect image sequence was 3D reconstructed by using ray-casting method. The experiment results showed that the method proposed can effectively obtained a three-dimensional view of a typical defect inside the lattice structure, and from which the shape and size of defect can be described. A strong basis for further analysis of the impact of defects on structural performance is provided.