Quantitative analysis of the main components in ceramic raw materials based on the desktop LIBS analyzer

Peng ZHANG; Lanxiang SUN; Haibin YU; Peng ZENG

doi:10.1088/2058-6272/ac52ea

Plasma Science and Technology > 2022 > 24(8): 084006. > DOI: 10.1088/2058-6272/ac52ea

Peng ZHANG, Lanxiang SUN, Haibin YU, Peng ZENG. Quantitative analysis of the main components in ceramic raw materials based on the desktop LIBS analyzer[J]. Plasma Science and Technology, 2022, 24(8): 084006. DOI: 10.1088/2058-6272/ac52ea

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Quantitative analysis of the main components in ceramic raw materials based on the desktop LIBS analyzer

1.
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, People's Republic of China
2.
Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, People's Republic of China
3.
Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, People's Republic of China

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Author Bio:
Lanxiang SUN, E-mail: sunlanxiang@sia.cn
Received Date: December 13, 2021
Revised Date: January 25, 2022
Accepted Date: February 07, 2022
Available Online: December 10, 2023
Published Date: June 28, 2022

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Abstract

Abstract

The concentrations of SiO₂, Al₂O₃, K₂O, Na₂O, CaO, MgO, Fe₂O₃ and TiO₂, and loss on ignition (L.O.I.) are the main inorganic components of geological samples. Concentrations of the eight oxides and L.O.I. are also the main indicators of concern in the production of building ceramics. Quantitative analysis of the eight oxides and L.O.I. was performed using fiber-laser-based laser-induced breakdown spectroscopy (LIBS). A combination of continuous background deduction, full width at half maximum (FWHM) intensity integral and spectral sum normalization was proposed for data processing. After the data processing combined the continuous background deduction, FWHM intensity integral and spectral sum normalization, the mean absolute errors (MAEs) of the calibration of L.O.I., SiO₂, Al₂O₃, K₂O, Na₂O, CaO, MgO, Fe₂O₃ and TiO₂ was reduced from 2.03%, 12.06%, 4.84%, 1.10%, 0.69%, 0.31%, 0.11%, 0.20% and 0.10% to 1.80%, 9.48%, 2.12%, 0.36%, 0.58%, 0.11%, 0.08%, 0.19% and 0.05%, respectively. This multivariate method was further introduced and discussed to improve the analysis performance. The MAEs of L.O.I., SiO₂, Al₂O₃, K₂O and Na₂O were further reduced to 1.12%, 2.07%, 1.38%, 0.35% and 0.43%, respectively. The results show that the overall prediction error can meet the requirements for the production of building ceramics. The LIBS desktop analyzer has great potential in detection applications on geological samples.
- laser-induced breakdown spectroscopy,
- fiber laser,
- quantitative analysis,
- matrix effects,
- geological samples,

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Acknowledgments

This work is supported by National Natural Science Foundation of China (No. 62173321), the Key Research Program of Frontier Sciences, CAS (No. QYZDJ-SSW-JSC037), the Science and Technology Service Network Initiative Program, CAS (No. KFJ-STS-QYZD-2021-19-002), the Liaoning Provincial Natural Science Foundation (No. 2021-BS-022) and the Youth Innovation Promotion Association, CAS.

References (20)

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