ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Sphere-cone-polynomial special window with good aberration characteristic |
Wang Chao (王超)a b, Zhang Xin (张新)a, Qu He-meng (曲贺盟)a, Wang Ling-jie (王灵杰)a, Wang Yu (王钰)a b |
a Key Laboratory of Optical System Advanced Manufacturing Technology, Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Sciences, Changchun 130033, China; b University of Chinese Academy of Sciences, Beijing 100039, China |
|
|
Abstract Optical windows with external surfaces shaped to satisfy operational environment needs are known as special windows. A novel special window, sphere-cone-polynomial (SCP) window, is proposed. The formulas of this window shape are given. An SCP MgF2 window with a fineness ratio of 1.33 is designed as an example. The field-of-regard (FOR) angle is ±75°. From the window system simulation results obtained with the calculated fluid dynamics (CFD) and optical design software, we find that compared to the conventional window forms, the SCP shape can not only introduce relatively less drag in the airflow, but also have the minimal effect on imaging. So the SCP window optical system can achieve a high image quality across a super wide FOR without adding extra aberration correctors. The tolerance analysis results show that the optical performance can be maintained with a reasonable fabricating tolerance to manufacturing errors.
|
Received: 20 December 2012
Revised: 15 January 2013
Accepted manuscript online:
|
PACS:
|
42.79.-e
|
(Optical elements, devices, and systems)
|
|
42.15.Eq
|
(Optical system design)
|
|
42.15.Fr
|
(Aberrations)
|
|
Fund: Project supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 61007009). |
Corresponding Authors:
Wang Chao
E-mail: Nicklo19992009@163.com
|
Cite this article:
Wang Chao (王超), Zhang Xin (张新), Qu He-meng (曲贺盟), Wang Ling-jie (王灵杰), Wang Yu (王钰) Sphere-cone-polynomial special window with good aberration characteristic 2013 Chin. Phys. B 22 074212
|
[1] |
Mills J P 2001 Proc. SPIE 4442 101
|
[2] |
We Q and Ai X Q 2010 Opt. Precision Eng. 18 2 (in Chinese)
|
[3] |
Chen U. S. Patent 5914821 [1999-06-22]
|
[4] |
Nelson D J, Gould A, Dworzanski D, Klinger C, Wiederhold B and Mandina M 2011 Proc. SPIE 8016 80160O
|
[5] |
Clark U. S. Patent 4291848 [1981-9-29]
|
[6] |
Song D L, Chang J, Wang Q F, He W B and Cao J 2011 Chin. Phys. B 20 0742
|
[7] |
Mitchell A T and Sasian M J 1999 Proc. SPIE 3705 209
|
[8] |
Li Y, Li L, Huang Y F and Du B L 2009 Chin. Phys. B 18 2769
|
[9] |
Wang C, Zhang X, Qu H M, Shi G W and Wang L J 2012 Acta Optica Sin. 08 0822002 (in Chinese)
|
[10] |
Sparrold W S 1999 SPIE 3705 189
|
[11] |
Department of Mathematics of Tongji University 2007 Advanced Mathematics(II) (6th edn.) (Beijing: Higher Education Press) p. 215 (in Chinese)
|
[12] |
Thompson K 2005 J. Opt. Soc. Am. A 22 1389
|
[13] |
Yu Y 2008 Entry and Advanced Tutorial of Fluent (Beijing: Beijing Institute of Technology Press) pp. 86-107 (in Chinese)
|
[14] |
Crowther B G, McKenney D B and Mills J P 1998 Proc. SPIE 3482 48
|
[15] |
Lerner A S, Sasian M J, Greivenkamp E J, Gappinger O R and Clark R S 1999 Proc. SPIE 3705 221
|
[16] |
Jiang HL 1987 Acta Optica Sin. 7 1127 (in Chinese)
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|