Related Experiment Video
Updated: May 28, 2025

Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles
Published on: July 5, 2016
Based on the thickness equivalent basis effect decomposition method of ore separation by multi-energy X-ray
Zi-Yan Yu1, Yan Zhang1, Xiong-Jie Zhang1
1National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing, East China University of Technology, Nanchang, 330013, China; Engineering Research Center of Nuclear Technology Application, Ministry of Education, East China University of Technology, Nanchang, 330013, China.
Abstract:
The average grade of uranium ore in China is low and dispersed, positioning X-ray transmission technology as a promising method for enhancing uranium ore quality. However, the uneven thickness of the ore significantly affects the accuracy of the separation process. This paper introduces a method for mineral separation through base effect decomposition, leveraging the principle of thickness equivalence. This method exploits the characteristic of minimal variation in the linear attenuation coefficient of high-energy X-rays during transmission. By measuring reference samples, the sum of linear attenuation coefficients at selected energy intervals is calculated. This allows for the determination of the thickness equivalence values and corresponding equivalent linear attenuation coefficients for ore samples. Upon completion of thickness calibration, the average equivalent linear attenuation coefficient curves for different ore samples are analyzed using base effect formulas, resulting in the extraction of photoelectric effect coefficients and Compton effect coefficients, which serve as standards for uranium ore sorting. Monte Carlo simulations were performed on ore samples with varying thicknesses and uranium content, demonstrating a relative error in sample equivalent thickness of less than or equal to 7.08%. Following thickness correction, the base effect decomposition method demonstrates the capability to effectively differentiate uranium ore samples with a detection limit of 500 ppm, thereby fulfilling the industrial application requirements. This research not only provides a theoretical framework but also practical reference for the selective sorting of uranium ore, with significant implications for improving ore processing efficiency in actual uranium mining operations.
More Related Videos
10:31Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
Published on: December 6, 2015
14:55Analysis of Minerals Produced by hFOB 1.19 and Saos-2 Cells Using Transmission Electron Microscopy with Energy Dispersive X-ray Microanalysis
Published on: June 24, 2018
Related Concept Videos
Scanning Electron Microscopy
Fundamental Principles
Accelerated...
X-ray Diffraction of Biological Samples
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are scattered by the electron clouds around the sample atoms. The X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
Transmission Electron Microscopy
Atomic Emission Spectroscopy: Overview
X-ray Imaging