Geometrical error calibration in reflective surface testing based on reverse Hartmann test
Author
Wang, DaodangGong, Zhidong
Xu, Ping
Liang, Rongguang
Kong, Ming
Zhao, Jun
Wang, Chao
Mo, Linhai
Mo, Shuhui
Affiliation
Univ Arizona, Coll Opt SciIssue Date
2017-08-23
Metadata
Show full item recordPublisher
SPIE-INT SOC OPTICAL ENGINEERINGCitation
Zhidong Gong, Daodang Wang, Ping Xu, Chao Wang, Rongguang Liang, Ming Kong, Jun Zhao, Linhai Mo, Shuhui Mo, "Geometrical error calibration in reflective surface testing based on reverse Hartmann test", Proc. SPIE 10373, Applied Optical Metrology II, 103730K (23 August 2017); doi: 10.1117/12.2268372; https://doi.org/10.1117/12.2268372Journal
APPLIED OPTICAL METROLOGY IIRights
© 2017 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
In the fringe-illumination deflectometry based on reverse-Hartmann-test configuration, ray tracing of the modeled testing system is performed to reconstruct the test surface error. Careful calibration of system geometry is required to achieve high testing accuracy. To realize the high-precision surface testing with reverse Hartmann test, a computer-aided geometrical error calibration method is proposed. The aberrations corresponding to various geometrical errors are studied. With the aberration weights for various geometrical errors, the computer-aided optimization of system geometry with iterative ray tracing is carried out to calibration the geometrical error, and the accuracy in the order of sub-nanometer is achieved.ISSN
0277-786X1996-756X
Version
Final published versionSponsors
Zhejiang Provincial Natural Science Foundation of China [LY17E050014]; National Natural Science Foundation of China (NSFC) [51375467, 11404312, 51476154, 51404223]; Zhejiang Key Discipline of Instrument Science and Technology [JL150508]ae974a485f413a2113503eed53cd6c53
10.1117/12.2268372
