Jump to main content
Jump to site search

Issue 6, 2015
Previous Article Next Article

Quantitative analysis of nonmetal elements in steel using laser-induced breakdown spectroscopy combined with random forest

Author affiliations

Abstract

Laser-induced breakdown spectroscopy (LIBS) combined with random forest (RF) was proposed for the quantitative analysis of sulfur (S) and phosphorus (P) in steel samples. The interference from the characteristic spectral lines of S and P in steel is difficult to accurately quantitatively analyse due to the influence of the multi-matrix. A RF model was utilized to compensate for the negative influence of the matrix effect. The influences of laser pulse energy and delay time on the spectral intensity were studied to improve the signal-to-noise ratio (SNR) of the analytical line for a certain element. Furthermore, the parameters (ntree and mtry) of the RF model were optimized by out-of-bag (OOB) estimation. The final RF calibration model for the quantitative analysis of S and P in steel was constructed using the spectral range (520–620 nm) as an input variable under the optimized experimental conditions. Results showed that the RF calibration model made good predictions of S (R2 = 0.9974) and P (R2 = 0.9981) compared with partial least square regression (PLSR), using the peak signals of S II 545.3 nm and P II 602.4 nm, respectively. The averaged relative errors (ARE) of S in steel were 2.69% and 3.47% for samples #8 and #9, respectively, and of P were 1.77% and 0.83% for samples #8 and #9, respectively. This confirms that the RF model is a promising approach for the quantitative detection of the nonmetal elements with LIBS technology in the field of metallurgy.

Graphical abstract: Quantitative analysis of nonmetal elements in steel using laser-induced breakdown spectroscopy combined with random forest

Back to tab navigation

Publication details

The article was received on 01 Nov 2014, accepted on 31 Jan 2015 and first published on 02 Feb 2015


Article type: Paper
DOI: 10.1039/C4AY02601B
Author version
available:
Download author version (PDF)
Anal. Methods, 2015,7, 2425-2432

  •   Request permissions

    Quantitative analysis of nonmetal elements in steel using laser-induced breakdown spectroscopy combined with random forest

    S. Wu, T. Zhang, H. Tang, K. Wang, X. Yang and H. Li, Anal. Methods, 2015, 7, 2425
    DOI: 10.1039/C4AY02601B

Search articles by author

Spotlight

Advertisements