摘要
针对叶片型面检测,设计开发了一套基于线激光轮廓传感器的四轴检测系统,提出了一种基于前缘局部特征标定转轴中心的叶片型面检测方法。首先,结合倾角传感器和叶片基准面特征实现了系统位姿校准;其次,提出了基于协方差矩阵的叶片前缘特征匹配算法,完成了系统转轴的标定和多视场数据坐标系的建立;最后,对两块典型汽轮机叶片进行测试实验。测试数据与三坐标机的实测数据对比表明,型面待测型线的平均偏差在0.018 mm以内,标准偏差小于0.01 mm。验证了该方法面向叶片型面检测的精确性与可行性,具有良好的应用前景。
Aiming at blade profile measurement, a four-axis measurement system based on line laser profile sensor was designed and developed, and a blade profile measurement method based on leading edge local features was proposed to calibrate the rotating axis.Firstly, the position and pose calibration of the system is realized by combining the Angle sensor and blade datum characteristics.Secondly, a blade leading edge feature matching algorithm based on covariance matrix was proposed to complete the calibration of the system’s rotating axis and the establishment of multi-field data coordinate system.Finally, two typical turbine blades are tested.The comparison between the test data and the measured data of CMM shows that the average deviation of the profile to be measured is less than 0.018 mm and the standard deviation is less than 0.01 mm.The accuracy and feasibility of this method for blade profile measurement are verified, and it has a good application prospect.
作者
郑昊天
殷鸣
王宗平
欧登荧
谢罗峰
殷国富
ZHENG Hao-tian;YIN Ming;WANG Zong-ping;OU Deng-ying;XIE Luo-feng;YIN Guo-fu(School of Mechanical Engineering,Sichuan University,Chengdu 610065,China;School of Aeronautics and Astronautics,Sichuan University,Chengdu 610065,China)
出处
《组合机床与自动化加工技术》
北大核心
2022年第4期74-78,共5页
Modular Machine Tool & Automatic Manufacturing Technique
基金
四川省科技计划项目(2021YFG0049,2019ZDZX0021)
川大-自贡校地战略合作资金项目(2019CDZG-2)。
关键词
线激光
叶片检测
光学检测
轴线标定
点云配准
line laser
blade measurement
optical measurement
axis calibration
point cloud registration
