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平面度计量——点线面之间的量值传递与控制 被引量:6

Flatness Metrology——Value Transfer and Control of Point,Section and Surface
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摘要 研究了平面度计量中的线和面两种传递路径。针对通过等厚干涉仪的面传递中不能维持平面度指标的原始定义,必须采用光圈(N、ΔN)等指标来描述的问题,在讨论测量点的绝对检验方法的基础上,提出了解决直线和面域上不同的平面度指标体系的统一的方法。分析了《JJG 28—2000平晶》中以点控线和以线控面过程中的假设和附加要求对于传递精度的影响问题,提出了基于相移干涉仪高分辨率和快速测量的优势,采用圆平晶以最大变化正交截面替代国标中随机的"任意"正交截面的方法,从而保证对平晶平面度计量的严谨性要求。 Two transmission pathways of line and plane in flatness metrology were studied. Based on the absolute test of measuring points,a unified method for solving different flatness index systems on straight lines and plane domains was put forward. Aiming at the problem that the original definition of flatness cannot be maintained in circular optical flat witch tested by an equal thickness interferometer,and fringe spacings( N、ΔN) had to used in this scene. The influence on transfer accuracy of hypothesis and additional requirements in 《JJG 28—2000 Optical Flat》which used for defining line with points and defining surface with lines was analyzed. Characteristic orthogonal sections which contain maximum change were proposed to replace the random orthogonal sections in《JJG 28—2000 Optical Flat》. Based on the advantages of high resolution and rapid measurement of phase shifting interferometer,the method to search for the characteristic orthogonal sections was described. So,it can promote the rigorous of flatness in metrology.
作者 王青 顾洋 WANG Qing;GU Yang(Nangjing University of Science and Technology,Nanjing,Jiangsu 210094,China)
机构地区 南京理工大学
出处 《计量学报》 CSCD 北大核心 2019年第2期189-195,共7页 Acta Metrologica Sinica
基金 国家重大仪器专项开发(2013YQ150829)
关键词 计量学 平面度 量值传递 相移干涉仪 特征截面 metrology flatness value transfer phase-shifting interferometer characteristic section
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  • 1王怀颖,于盛林,冯强.一种用细胞神经网络提取干涉条纹中心的新方法[J].计量学报,2006,27(2):117-120. 被引量:4
  • 2Chua L O,Yang L.Cellular Neural Networks:Theory[J].IEEE Trans on Circuits and Systems,1988,35:1257 ~1272.
  • 3Chua L O,Yang L.Cellular Neural Networks:Applications[J].IEEE Trans on Circuits and Systems,1988,35:1273~ 1290.
  • 4Blayvas I,Bruckstein A,Kimmel R.Efficient computation of adaptive threshold surfaces for image binarization[A].Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition[C],CVPR 2001,2001,Vol.1:737 ~ 742.
  • 5Liju Dong,Ge Yu.An optimization-based approach to image binarization[A].The Fourth International Conference on Computer and Information Technology[C],CIT ' 04,2004,165 ~170.
  • 6YuD,Ho C,Yu X,Mori S.On the application of cellular automata to image thinning with cellular neural network[A].Second International Workshop on Cellular Neural Networks and Their Applications[C],Proceedings CNNA-92,1992,210 ~ 215.
  • 7Matsumoto T,Chua L O,Yokohama T.Image thinning with a cellular neural network[J].IEEE Transactions on Circuits and Systems,1990,37(5):638 ~ 640.
  • 8Shimizu M,Fukuda M,Nakamura G.A thinning algorithm for digital figures of characters[A].Proceedings 4th IEEE Southwest Symposium on Image Analysis and Interpretation[C],2000,83 ~ 87.
  • 9Petrosin A,Salvi G.A two-subcycle thinning algorithm and its parallel implementation on SIMD machines[J].IEEE Transactions on Image Processing,2000,9(2):277 ~ 283.
  • 10GONZALEZ R C.数字图像处理(MATLAB版)[M].阮秋琦等译.北京:电子工业出版社,2005.

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