点云
曲面(拓扑)
边界(拓扑)
过程(计算)
干扰(通信)
自动化
计算机科学
匹配(统计)
计算机视觉
约束(计算机辅助设计)
点(几何)
算法
阈值限值
人工智能
工程类
数学
机械工程
几何学
数学分析
计算机网络
频道(广播)
医学
统计
环境卫生
操作系统
作者
Qinbing Zheng,Bin Zou,Wei Chen,Xinfeng Wang,Tao Quan,Xianhua Ma
出处
期刊:Measurement
[Elsevier]
日期:2023-11-08
卷期号:223: 113823-113823
被引量:2
标识
DOI:10.1016/j.measurement.2023.113823
摘要
Defect detection is a crucial part of the additive manufacturing process. Based on 3D laser point cloud, this paper takes the surface of AM process as the research object for defect detection, including surface point cloud pretreatment and internal defect detection. Aiming at a kind of interference existing on the boundary in the process of AM, we use continuous constraint and improved slope method to deal with it, and discuss two cases of continuous surface and non-continuous surface. The small threshold based pass-through filtering algorithm extracts the external points of the defect boundary by using the fluctuation of the height value, and classifies the defect point cloud by classifying, combining and matching the external points. Finally, experimental verification results show that the accuracy of our proposed surface defect detection method can reach 92.3%. This method can effectively extract relatively complete defects. It provides important technical support for surface quality inspection in industrial automation.
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