Quantitative Analysis of Mn in Molten Steel with Multi-Factor Calibration Input Using Laser-Induced Breakdown Spectroscopy

Sample number	Fe	Ni	Mn	Cr	Si	Cu	Co	P	S
ERM281-1	70.329	9.370	0.258	0.048	0.929	0.076	0.023	0.012	0.016
ERM282-1	67.150	10.860	0.475	0.086	0.734	0.109	0.000	0.019	0.004
ERM279-2	75.786	10.603	0.786	0.088	0.516	0.107	0.000	0.000	0.000
ERM284-2D	67.496	10.720	1.744	0.020	0.537	0.183	0.053	0.026	0.024
ERM287-1D	67.439	10.350	1.480	0.016	0.569	0.203	0.148	0.027	0.001
ERM289-1D	55.238	24.680	1.106	0.049	0.531	0.000	0.065	0.012	0.003
ERM292-1D	68.927	10.090	0.976	0.037	0.402	0.039	0.026	0.018	0.006
ERM295-1D	48.360	24.400	0.397	0.017	0.418	1.481	0.045	0.017	0.001
ERM296-1D	82.020	5.790	0.545	0.117	0.242	0.1498	0.0218	0.018	0.003
ERM298-1D	63.380	7.056	0.316	0.0146	0.262	0.201	0.055	0.020	0.001

Table 2. R and RMSE of training model
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Table 2. R and RMSE of training model
Input variable 1 2 3 1+2 1+3 2+3 1+2+3
R 0.870 0.934 0.940 0.918 0.922 0.971 0.967
RMSE 2.267 0.940 1.168 1.196 0.719 0.367 0.456

Table 3. SVR regression prediction results on test set under different mass fractions of Mn

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Table 3. SVR regression prediction results on test set under different mass fractions of Mn

Mass fractionof Mn /%	RSD /%		RE /%
Mass fractionof Mn /%	3	2+3	3	2+3
0.258	81.3	4.5	15.1	107.6
0.475	15.4	2.7	43.5	10.4
0.786	11.1	1.2	36.6	18.0
1.744	21.7	1.3	4.4	3.7
1.480	16.9	2.5	25.3	5.8
1.106	18.6	3.1	28.9	7.4
0.976	23.3	1.6	27.2	10.2
0.397	7.8	4.8	25.9	22.2
0.545	9.5	1.8	24.6	18.6
0.316	18.6	2.5	27.7	11.4

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Youliang Yang, Lu Wang, Cuihong Ma. Quantitative Analysis of Mn in Molten Steel with Multi-Factor Calibration Input Using Laser-Induced Breakdown Spectroscopy[J]. Laser & Optoelectronics Progress, 2019, 56(22): 223003

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