Blade profile extraction and edge completion method based on structured light measurement point cloud
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发布时间：2026-05-04
发布时间：2026-05-04
影响因子：3.7
DOI码：10.1016/j.precisioneng.2023.12.005
论文名称：Blade profile extraction and edge completion method based on structured light measurement point cloud
教研室：新能源装备与质量工程研究所
发表刊物：Precision Engineering
刊物所在地：UNITED STATES
关键字：Blade cross-sectional profile；Slice thickness；Leading and trailing edges completion；Structured light measurement point cloud
摘要：Blade characteristic parameters evaluation plays an important role in quality monitoring and processing. In this research, a new blade profile extraction and edge completion strategy is proposed to deal with structured light measurement steam turbine blade. To handle the point cloud discretization and local data missing, the blade cross-sectional profiles are extracted adaptively at different heights, providing accurate and non-redundant data. Using NURBS and circular curves, the missing edge completion combines actual measurement curve trends and blade design geometric constraints, achieving a higher success rate and accuracy. Compared with the Perproj method and Virtual Edge method, the profile extraction accuracy of the proposed method is improved by 65 % and 36 % respectively, and the whole process of a sampled blade with additional noise is simulated to verify the effectiveness. Finally, more than two hundred blades are verified on the structured light measurement system, and the average absolute error of all parameters is less than 0.120 mm, which meets the accuracy requirements of blade quality evaluation in engineering applications.
合写作者：黄军辉,段琼琼,高建民,祁苗伟,Wei Wang,Qiang Dong,Qiyuan Li,Song Ai
第一作者：李子君
论文类型：期刊论文
通讯作者：王昭
学科门类：工学
一级学科：机械工程
文献类型：J
卷号：86
页面范围：225-238
ISSN号：0141-6359
是否译文：否
发表时间：2023-12-29
收录刊物：SCI