1. Xi'an Hantang Analysis and Testing Co. Ltd., Xi'an, Shaanxi 710201, China;
2. Northwest Institute for Non-ferrous Metal Research, Xi'an, Shaanxi 710016, China
Abstract Distortion can reflect the deviation between the actual image and the ideal image of a metallographic microscope, and is an important technical indicator for accurate and reliable performance of metallographic microscopes. According to the calibration standard "Evaluation and Representation of Measurement Uncertainty", the distortion measurement process of the metallographic microscope was studied, the mathematical model for the uncertainty evaluation of the distortion measurement results was established, the sources of uncertainty were comprehensively analyzed, and the uncertainty of the distortion measurement results of the metallographic microscope was evaluated.The results show that when the coverage factor k=2, the confidence level is 95%, under the condition of the total magnifications is 50×, 100×, 200×, 500× and 1000×, the relative distortion measurement results of the metallographic microscope is (0.5±0.4)%, (0.3±0.6)%, (1.3±0.4)%, (0.4±0.4)%, (0.9±0.1)%, respectively. The uncertainty of the measurement results mainly comes from the distortion measurement system and repeatability test.
Cai X Y, Wei J S, Sun K X, et al. Evaluation of uncertainty inmeasurement withwhite-light interference system ［J］. Acta Metrologica Sinica, 2021, 42 (6): 731-737.
Bi G P. The measuring method for actual total magnification of metallographic microscope—digital image method ［J］. Materials Science and Engineering, 2018,(397): 961-972.
Chen L F. The Further Discussion of the Range Method in the Type AEvaluation of Sstandard Uncertainty ［J］. Acta Metrologica Sinica, 2019, 40(2): 347-352.
［5］
董章. 适于固体生物大样本的光学显微成像方法初步研究 ［D］. 武汉: 华中科技大学, 2011.
Cui H Z, Kong Y, Zhou Q B, et al. Image geometric correction based on distortion rate ［J］. Applied Optics, 2006, 27 (3): 183-185.
2023, Vol. 44 
