Testing aspheric surface with annular subaperture stitching method based on Hartmann Shack sensor

2010 ◽  
Author(s):  
Hongyan Xu ◽  
Hao Xian ◽  
Yudong Zhang
Keyword(s):  
Aspheric Surface ◽  
Subaperture Stitching

Measurement of aspheric surface combining point diffraction interferometry and annular subaperture stitching

2015 ◽  
Vol 54 (1) ◽  
pp. 014102 ◽  
Author(s):  
Fen Gao ◽  
Zhuangde Jiang ◽  
Zixin Zhao ◽  
Bing Li
Keyword(s):  
Aspheric Surface ◽  
Subaperture Stitching

An automated subaperture stitching interferometer workstation for spherical and aspherical surfaces

2003 ◽  
Author(s):  
Jon Fleig ◽  
Paul Dumas ◽  
Paul E. Murphy ◽  
Greg W. Forbes
Keyword(s):  
Subaperture Stitching

Computer numeric control subaperture aspheric surface polishing—microroughness evaluation

2014 ◽  
Vol 53 (9) ◽  
pp. 092011 ◽  
Author(s):  
Frantisek Prochaska ◽  
Jaroslav Polak ◽  
Ondrej Matousek ◽  
David Tomka
Keyword(s):  
Aspheric Surface ◽  
Surface Polishing ◽  
Computer Numeric Control

Improving as-built miniature lenses that use many aspheric surface coefficients with two desensitizing techniques

2021 ◽  
Vol 60 (05) ◽  
Author(s):  
Leticia Carrión-Higueras ◽  
Arnau Calatayud ◽  
José Sasian
Keyword(s):  
Aspheric Surface

The position shifting of frequency spectrum of Fourier transform in the application of aspheric surface testing

2007 ◽  
Author(s):  
Junmiao Weng ◽  
Yongying Yang ◽  
Dong Liu ◽  
Yibing Shen ◽  
Yongmo Zhuo
Keyword(s):  
Fourier Transform ◽  
Frequency Spectrum ◽  
Aspheric Surface ◽  
Surface Testing

The Application of Adaptive Kalman Filter Technology in Aspheric Surface Machining and Detection

2012 ◽  
Vol 192 ◽  
pp. 42-45
Author(s):  
Xue Chen Zhang ◽  
Guo Hua Cao ◽  
Feng Ming Nie
Keyword(s):  
Random Error ◽  
Simulation Analysis ◽  
Processing Technique ◽  
Second Order ◽  
Recursive Identification ◽  
Surface Element ◽  
Machining Parameters ◽  
Aspheric Surface ◽  
Online Detection ◽  
Stationary Characteristic

The grinding machining parameters of large-caliber aspherics ultra-precision grinding processing depend on the analysis of online profile accuracy detection data .and the detection data has the second order of non-stationary characteristic . The research of second order of non-stationary data processing technique and isolate and reduce the random error of online detection data is key technology of ensure the precision of aspheric surface grinding accuracy . This paper proposed a parallel recursive identification of improved adaptive kalman filtering method , the simulation analysis and φ500mm aspheric surface element grinding experiment proved this method can real-time process second order of non-stationary data of online detection data , isolate and reduce the random error , make a best estimate of time-varying signal, provide correction parameter of grinding process , processed aspherical face proflie accuracy≤4μm.

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