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Volume 42 Issue 6
Dec.  2021
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Qu Xiaolong, Luo Jiandong, Chen Jie, Peng Sitong. Study on Relationship between Microinhomogeneity and Measurement Precision of γ-Ray Transmission Technique[J]. Nuclear Power Engineering, 2021, 42(6): 100-104. doi: 10.13832/j.jnpe.2021.06.0100
Citation: Qu Xiaolong, Luo Jiandong, Chen Jie, Peng Sitong. Study on Relationship between Microinhomogeneity and Measurement Precision of γ-Ray Transmission Technique[J]. Nuclear Power Engineering, 2021, 42(6): 100-104. doi: 10.13832/j.jnpe.2021.06.0100

Study on Relationship between Microinhomogeneity and Measurement Precision of γ-Ray Transmission Technique

doi: 10.13832/j.jnpe.2021.06.0100
  • Received Date: 2020-11-15
  • Rev Recd Date: 2021-01-27
  • Publish Date: 2021-12-09
  • In this paper, the relationship between the measurement accuracy of monoenergetic γ-ray transmission method and the microscopic uniformity of the sample is studied. By establishing a microscopic distribution model parallel to and perpendicular to the transmission direction of γ-ray, and carrying out theoretical analysis of different models, it is concluded that the microscopic inhomogeneity in the direction parallel to the transmission of γ-ray will increase the transmittance of the γ-ray, which in turn leads to low mass thickness measurement results; the microscopic inhomogeneity in the direction perpendicular to the transmission of γ-ray has no effect on the measurement results. At the same time, the microscopic inhomogeneity models of different mass thickness distributions are established, and these models are used to analyze the law that the measurement accuracy is affected by the microscopic inhomogeneity. The inhomogeneity of the model is described by the coefficient of variation. The results show that under the same experimental conditions, the greater the coefficient of variation, the greater the influence on the transmission intensity of γ-ray, and there is a linear increasing relationship between the relative change of γ-ray transmittance and the coefficient of variation of the sample.

     

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