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An efficient 3D cutting scheme for detecting defects on products of complex geometry

Year: 2024
Type: article
Abstract: 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 a part. 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.
Source: Measurement
DOI: 10.1016/j.measurement.2024.116425
Language: English
Open Access status: hybrid
Estimated APC paid: $3,650
OpenAlex ID: W4405237244
FWCI: 0.831
Cites: 53
Cited by: 4
Related to: 10