文献类型：期刊文献

英文题名：An efficient 3D cutting scheme for detecting defects on products of complex geometry

作者：Wang, Rui[1];Lu, Jingyi[1];Du, Wei[1];Jiang, Qingchao[1];Cao, Zhixing[1,2]

机构：[1]East China Univ Sci & Technol, MOE Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]Queens Univ, Kingston, ON K7L 3N6, Canada

年份：2025

卷号：244

外文期刊名：MEASUREMENT

收录：;EI(收录号：20245117528965);WOS:【SCI-EXPANDED(收录号:WOS:001389535800001)】；

基金：This work was supported in part by National Key R&D Program of China under Grant No. 2021YFB3301300 and the Ministry of Education of China under Grant No. 8091B032230.

语种：英文

外文关键词：Defect detection; Product quality control; Automated inspection; Point cloud

摘要：The surface quality of parts is essential for the proper functioning of high-end equipment. Traditional 3D defect detection methods, based on geometric feature extraction, struggle with complex geometries, resulting in potential false or missed detections. This study proposes a surface quality defect detection scheme based on a 3D cutting algorithm. The inspection solution proposed in this work utilizes a 3D cutting algorithm to perform isometric multilayered cutting of apart. The results of each cross-section layer for defective and standard parts are aligned using an alignment algorithm for defect detection. Numerous numerical operations are converted into Boolean operations by reconstructing the 3D point cloud data with the proposed cutting algorithm. This scheme significantly reduces computing time and avoids the effects of complex surface geometries. Our defect detection solution has been validated not only on complex parts with holes but also on the manufacturing line of aeroengine impeller parts. The experimental results demonstrate that the defect detection rate is more than 95%, and the computational efficiency is increased 100x compared to traditional solutions.