Study on the algorithm in the measurement of large annular planes with a laser tracker
Zhu, Wen1,2; Fan, Tian-Quan1; Cao, Xue-Dong1; Li, Jie1; Wu, Shi-Bin1
2013
会议名称Proceedings of SPIE: International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications
会议日期2013
卷号8905
页码89051Q
中文摘要To measure the flatness of the large annular planes, a method with laser tracker on the basis of multi-station and time-sharing measurement principle is proposed in this paper. The laser tracker is used to measure the flatness of large annular planes at different base stations. Based on the redundancy principle, the space coordinates of each measuring point can be determined by large amount of measured data. In the paper, the results of computer simulation for the principle are obtained with several iterative nonlinear algorithms, and it is shown that the method is feasible. © 2013 SPIE.
英文摘要To measure the flatness of the large annular planes, a method with laser tracker on the basis of multi-station and time-sharing measurement principle is proposed in this paper. The laser tracker is used to measure the flatness of large annular planes at different base stations. Based on the redundancy principle, the space coordinates of each measuring point can be determined by large amount of measured data. In the paper, the results of computer simulation for the principle are obtained with several iterative nonlinear algorithms, and it is shown that the method is feasible. © 2013 SPIE.
收录类别EI
学科主题Algorithms - Computer simulation
语种英语
ISSN号0277786X
内容类型会议论文
源URL[http://ir.ioe.ac.cn/handle/181551/7920]  
专题光电技术研究所_质量处(质检中心)
作者单位1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
2.University of Chinese, Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Zhu, Wen,Fan, Tian-Quan,Cao, Xue-Dong,et al. Study on the algorithm in the measurement of large annular planes with a laser tracker[C]. 见:Proceedings of SPIE: International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications. 2013.
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