Paper
9 January 2023 Surface bilateral profile measurement of curved transparent components based on chromatic confocal sensor
Author Affiliations +
Abstract
The system performance of many industrial products is dominated by the surface profile accuracy of their primary component, thus it is of great essence to achieve high precision profile characterization. The chromatic confocal technology provides an effective means for precise measurement of surface profile, yet there exists non-negligible errors when measuring transparent curved component. The aim of this paper is to investigate the effects of the curvature of component on the confocal rays and obtain its bilateral surface profile by chromatic confocal technology simultaneously. The assumption of tilted plate approximation for curved specimen was made. By adopting the optical ray tracing analysis, a modified model was then proposed to correct the measurement error existed in the traditional one. The validity of the proposed model is conducted by 2D bilateral profile measurements of the hemispherical shells after the calibration with tilted fused silica plates. Experimental results show that the proposed model significantly improves the measurement accuracy of bilateral profile of curved transparent components at large equivalent tilt angle. This method overcomes the drawbacks of other spatial coordinate based profile measurement methods, and achieves high accuracy simultaneous measurement of bilateral profile of transparent components.
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Jiajun Wu, Xiaoxiong Jiang, Lili Jiang, Bingfeng Ju, and Wule Zhu "Surface bilateral profile measurement of curved transparent components based on chromatic confocal sensor", Proc. SPIE 12507, Advanced Optical Manufacturing Technologies and Applications 2022; and 2nd International Forum of Young Scientists on Advanced Optical Manufacturing (AOMTA and YSAOM 2022), 125070D (9 January 2023); https://doi.org/10.1117/12.2653438
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KEYWORDS
Confocal microscopy

Colorimetry

Sensors

Distance measurement

Calibration

Data modeling

Motion models

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