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Testing large aspheric surfaces with complementary annular subaperture interferometric method
Xi Hou, Fan Wu, Baiping Lei, Bin Fan, Qiang Chen
Volume7018,VOLS 1-23
Pages5622-5626
2008
Language英语
Indexed ByEi
Subtype会议论文
AbstractA neural network model for representing the surface shape of stressed-lap was developed to facilitate a computer controlled optical polishing process. The dynamic change of the surface shape of the stressed lap during the operating process of polishing a large and highly aspheric optical surface is investigated. The original data from the micro displacement sensor matrix were used to train the neural network model. The experiment showed that the proposed model can represent the surface shape of the stressed-lap accurately.
Conference NamePROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/1858
Collection先光中心
Recommended Citation
GB/T 7714
Xi Hou, Fan Wu, Baiping Lei, Bin Fan, Qiang Chen. Testing large aspheric surfaces with complementary annular subaperture interferometric method[C],2008:5622-5626.
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