Optimization scheme for rapid analysis of copper ore grade using EDXRF

Wen Li; Wanchang Lai; Dongdong Chen; Yutian Ma; Bingsong Yang; Diancheng Zhang

doi:10.1117/12.3025625

8 April 2024 Optimization scheme for rapid analysis of copper ore grade using EDXRF

Wen Li, Wanchang Lai, Dongdong Chen, Yutian Ma, Bingsong Yang, Diancheng Zhang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130900H (2024) https://doi.org/10.1117/12.3025625
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

In order to optimize the method and technology for the rapid determination of copper ore grade using Energy Dispersive X-ray Fluorescence (EDXRF), improve the accuracy of EDXRF analysis, guide the development and utilization of copper ore resources, and enhance production efficiency, the optimal operating conditions for the EDXRF analyzer were determined using Monte Carlo (MC) simulation and physical experiments. The recommended settings were a tube voltage of 40 kV and a tube current of 10 μA. Under these optimal conditions, the copper (Cu) content in various types of copper ore samples was analyzed. The copper ore was categorized into geological samples (including raw ore samples and tailings samples), copper concentrates, and matte. The correction of matrix effects was carried out using a binary regression method. Experimental results showed that the average absolute error of analyzing geological samples by EDXRF was 0.035%, with an average relative error of 4.08%. The average absolute error for analyzing copper concentrates was 0.238%, with an average relative error of 1.01%. For matte analysis, the average absolute error was 0.421%, with an average relative error of 1.01%. The accuracy and precision of the method meet the production requirements of enterprises, and it holds promising prospects for widespread application.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wen Li, Wanchang Lai, Dongdong Chen, Yutian Ma, Bingsong Yang, and Diancheng Zhang "Optimization scheme for rapid analysis of copper ore grade using EDXRF", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130900H (8 April 2024); https://doi.org/10.1117/12.3025625

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KEYWORDS

Copper

Error analysis

Chemical analysis

Monte Carlo methods

Statistical analysis

X-rays

Matrices

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