Detection method and evaluation of zoom CAM curve based on linear displacement

Yue Zhao; Shifa Kang; Xing Qin

doi:10.1117/12.2585040

4 December 2020 Detection method and evaluation of zoom CAM curve based on linear displacement

Yue Zhao, Shifa Kang, Xing Qin

Proceedings Volume 11617, International Conference on Optoelectronic and Microelectronic Technology and Application; 1161718 (2020) https://doi.org/10.1117/12.2585040
Event: International Conference on Optoelectronic and Microelectronic Technology and Application, 2020, Nanjing, China

Abstract

Zoom CAM curve is an important part of the optical system imaging. The processing accuracy of the curve directly affects the image clarity and consistency of the optical system. In this paper, a high precision measuring device for zoom CAM curve is designed, and an optimization method of testing results is adopted. According to the curve of the CAM rotation Angle and the number of teeth on the surface of the cylindrical, with mesh number as the sample size, relative to the CAM follower parts through the grating ruler curve of linear displacement measurement and corresponding data fitting. The regression analysis method is adopted to analyze the measurement results of the grating ruler based on the detection of the altimeter, and the regression equation is obtained and modified to optimize the measurement fitting data, so as to finally improve the detection accuracy of the zoom CAM curve. The confidence interval of machining accuracy based on grating ruler CAM curve is analyzed and evaluated by an example. The results show that the zoom CAM curve detection device and result optimization method proposed in this paper have the characteristics of high accuracy, high stability and easy realization.

Citation Download Citation

Yue Zhao, Shifa Kang, and Xing Qin "Detection method and evaluation of zoom CAM curve based on linear displacement", Proc. SPIE 11617, International Conference on Optoelectronic and Microelectronic Technology and Application, 1161718 (4 December 2020); https://doi.org/10.1117/12.2585040

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