Quantitative Analysis of Mg Element in Aluminium Alloy Based on Laser-Induced Breakdown Spectroscopy

Yu Ding; Linyu Yang; Jing Chen; Xingyu Wang; Xiaoran Guo; Xuanchen Xu; Xingqiang Zhao; Yong Luo; Wenjie Chen

doi:10.3788/LOP202259.1314006

Laser & Optoelectronics Progress, Volume. 59, Issue 13, 1314006(2022)

Quantitative Analysis of Mg Element in Aluminium Alloy Based on Laser-Induced Breakdown Spectroscopy

Yu Ding^1,2,3,4、*, Linyu Yang^1,2,3,4, Jing Chen^1,2,3,4, Xingyu Wang^1,2,3,4, Xiaoran Guo⁵, Xuanchen Xu^1,2,3,4, Xingqiang Zhao^1,2,3,4, Yong Luo^1,2,3,4, and Wenjie Chen^1,2,3,4

Author Affiliations

¹School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China

²Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China

³Jiangsu Engineering Research Center on Meteorological Energy Using and Control, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China

⁴Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China

⁵The No. 32181st Troop of PLA, Shijiazhuang 050000, Hebei , China

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Figures & Tables(9)

Fig. 1. Experimental setup

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Fig. 2. Spectra of aluminium alloy samples

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Fig. 3. Prediction results of Mg element by PLS model

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Fig. 4. Prediction results of Mg element by RF model

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Fig. 5. Importance distribution of full-spectrum variables

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Fig. 6. Importance selection of RF model

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Fig. 7. Prediction results of Mg element by VI-RF model

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Table 1. Mass fraction of Mg element in aluminum alloy samples

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Table 1. Mass fraction of Mg element in aluminum alloy samples

Serial number	Brand of sample	Mass fraction
1	1060	0.030
2	2A16	0.050
3*	3A21	0.050
4	1050	0.050
5	3002	0.125
6*	2A11	0.600
7	6063	0.675
8	6082	0.900
9*	6061	1.000
10	2A12	1.500
11	2024	1.500
12*	5052	2.500
13	7075	2.500
14	5754	3.100
15*	5083	4.450
16	5A05	5.150
17	5A06	6.300

Table 2. Prediction performance of different models
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Table 2. Prediction performance of different models
Model Test set Modeling time /s
$R_{p}^{2}$ $R_{M S E}^{p}$ Number of variables
PLS 0.6809 1.2042 4096 0.23
RF 0.8571 1.0918 4096 0.36
VI-RF 0.9461 0.9534 135 0.03

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Yu Ding, Linyu Yang, Jing Chen, Xingyu Wang, Xiaoran Guo, Xuanchen Xu, Xingqiang Zhao, Yong Luo, Wenjie Chen. Quantitative Analysis of Mg Element in Aluminium Alloy Based on Laser-Induced Breakdown Spectroscopy[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1314006

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