叶片三维轮廓测量点云数据高精度多角度融合

赖文敬; 鲍鸿; 白玉磊; 申作春; 周延周

doi:10.13224/j.cnki.jasp.2015.03.017

叶片三维轮廓测量点云数据高精度多角度融合

doi: 10.13224/j.cnki.jasp.2015.03.017

1. 广东工业大学自动化学院, 广州 510006;
2. 哈尔滨工业大学航天学院光电子技术研究所, 哈尔滨 150001

基金项目:

国家自然科学基金(11072063)

详细信息

作者简介:
赖文敬(1987-),男,广东肇庆人,硕士生,主要从事叶片三维轮廓和物体三维轮廓及变形测量.lwj_optical@163.com

中图分类号: V232.4
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- 被引次数: 0
出版历程
- 收稿日期: 2013-10-22
- 刊出日期: 2015-03-28

High precision and multiple view point cloud data fusion in blade three-dimensional profile measurement

1. Department of Automation, Guangdong University of Technology, Guangzhou 510006, China;
2. Opto-electric Institute, School of Astronautics, Harbin Institute of Technology, Harbin 150001, China

摘要

摘要: 针对高精度多角度点云数据融合叶片测量难题,设计了一种基于相位测量轮廓方法的多角度点云数据融合的机械装置.通过设计对参考平面数据旋转的算法,实现叶片三维轮廓的高精度数据合成,精度达到(0.06±0.01)mm.这种装置的方法、结构简单实用,测量效率和精度高,可以多个叶片同时测量,是一种可以取代三坐标测量的实用方法.
- 叶片 /
- 三维轮廓测量 /
- 点云数据融合 /
- 相位测量轮廓方法 /
- 回转平台
Abstract: High precision and multiple view point cloud data fusion is one of the bottlenecks in the blade measurement. A mechanical device of the multiple view point cloud data fusion using phase-measuring-profilometry was presented. A reference plane data rotating algorithm was designed, and the accuracy of three-dimensional blade data high precision fusion is (0.06±0.01)mm. The structure and method of the device are simple and practical with high efficiency and accuracy. Many blades can be measured simultaneously. It can thus replace coordinate measuring method.
- blade /
- three-dimensional profile measurement /
- point cloud data fusion /
- phase-measuring-profilometry /
- rotating platform

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参考文献(15)

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