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	Neural network based surface shape modeling of stressed lap optical polishing
	Chen, Min-you1; Feng, Yong-tao1; Wan, Yong-jian2; Li, Yang2; Fan, Bin2
刊名	APPLIED OPTICS
	2010-03-10
卷号	49期号:8页码:1350-1354
英文摘要	It is crucially important to establish an accurate model to represent the relationship between the actuator forces and the lap surface changes when polishing a large and highly aspheric optical surface. To facilitate a computer-controlled optical polishing process, a neural network based stressed lap surface shape model was developed. The developed model reflects the dynamic deformation of a stressed lap. The original data from the microdisplacement sensor matrix were used to train the neural network model. The experimental results show that the proposed model can represent the surface shape of the stressed lap accurately and provide an analytical model to be used to polish the stressed lap control system and the active support system for a large mirror. (C) 2010 Optical Society of America
WOS标题词	Science & Technology ; Physical Sciences
类目[WOS]	Optics
研究领域[WOS]	Optics
收录类别	SCI
语种	英语
WOS记录号	WOS:000275390200020
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/3406]
专题	光电技术研究所_光电技术研究所被WoS收录文章
作者单位	1.Chongqing Univ, Sch Elect Engn, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400030, Peoples R China 2.Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
推荐引用方式 GB/T 7714	Chen, Min-you,Feng, Yong-tao,Wan, Yong-jian,et al. Neural network based surface shape modeling of stressed lap optical polishing[J]. APPLIED OPTICS,2010,49(8):1350-1354.
APA	Chen, Min-you,Feng, Yong-tao,Wan, Yong-jian,Li, Yang,&Fan, Bin.(2010).Neural network based surface shape modeling of stressed lap optical polishing.APPLIED OPTICS,49(8),1350-1354.
MLA	Chen, Min-you,et al."Neural network based surface shape modeling of stressed lap optical polishing".APPLIED OPTICS 49.8(2010):1350-1354.

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