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

Youliang Yang; Lu Wang; Cuihong Ma

doi:10.3788/LOP56.223003

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 22 >Page 223003 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 22, 223003 (2019)

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

Youliang Yang, Lu Wang^*, and Cuihong Ma

Author Affiliations

College of Electrical Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China

show less

DOI: 10.3788/LOP56.223003 Cite this Article Set citation alerts

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 Copy Citation Text

show less

Fig. 1. Experimental platform of LIBS

Download full size

Fig. 2. Typical LIBS spectrum of ERM281-1 in the range of 400-410 nm

Download full size

Fig. 3. Comparison of SVR regression prediction results on test set. (a) RSD; (b) RE

Download full size

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 1. Mass fraction of each element of steel samples%

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 2. R and RMSE of training model

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

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

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information