Detection of Al, Mg, Ca, and Zn in copper slag by LIBS combined with calibration curve and PLSR methods

Junwei JIA; Zhifeng LIU; Congyuan PAN; Huaqin XUE

doi:10.1088/2058-6272/ad1045

Plasma Science and Technology > 2024 > 26(2): 025507. > DOI: 10.1088/2058-6272/ad1045

Junwei JIA, Zhifeng LIU, Congyuan PAN, Huaqin XUE. Detection of Al, Mg, Ca, and Zn in copper slag by LIBS combined with calibration curve and PLSR methods[J]. Plasma Science and Technology, 2024, 26(2): 025507. DOI: 10.1088/2058-6272/ad1045

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Detection of Al, Mg, Ca, and Zn in copper slag by LIBS combined with calibration curve and PLSR methods

1.
School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, People’s Republic of China
2.
Hefei GStar Intelligent Control Technical Co. Ltd., Hefei 230088, People’s Republic of China
3.
Anhui Industrial Combustion Monitoring Technology and Equipment Engineering Laboratory, Hefei 230088, People’s Republic of China

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Author Bio:
Junwei JIA: jjw2014@mail.ustc.edu.cn
Corresponding author:
Junwei JIA, jjw2014@mail.ustc.edu.cn
Received Date: June 05, 2023
Revised Date: November 23, 2023
Accepted Date: November 27, 2023
Available Online: January 15, 2024
Published Date: February 04, 2024

Graphical Abstract

Abstract

Abstract

The precise measurement of Al, Mg, Ca, and Zn composition in copper slag is crucial for effective process control of copper pyrometallurgy. In this study, a remote laser-induced breakdown spectroscopy (LIBS) system was utilized for the spectral analysis of copper slag samples at a distance of 2.5 m. The composition of copper slag was then analyzed using both the calibration curve (CC) method and the partial least squares regression (PLSR) analysis method based on the characteristic spectral intensity ratio. The performance of the two analysis methods was gauged through the determination coefficient (R²), average relative error (ARE), root mean square error of calibration (RMSEC), and root mean square error of prediction (RMSEP). The results demonstrate that the PLSR method significantly improved both R² for the calibration and test sets while reducing ARE, RMSEC, and RMSEP by 50% compared to the CC method. The results suggest that the combination of LIBS and PLSR is a viable approach for effectively detecting the elemental concentration in copper slag and holds potential for online detection of the elemental composition of high-temperature molten copper slag.
- copper slag,
- element,
- remote,
- LIBS,
- PLSR

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Acknowledgments

This work is supported by funding for research activities of postdoctoral researchers in Anhui Province and special funds for developing Anhui Province’s industrial “three highs” and high-tech industries.

References (26)

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Detection of Al, Mg, Ca, and Zn in copper slag by LIBS combined with calibration curve and PLSR methods

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