Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 75,
  • Issue 11,
  • pp. 1364-1373
  • (2021)

Quantitative Analysis of Manganese in Underwater Steel Samples Using Long–Short Double-Pulse Laser-Induced Breakdown Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

The long–short double-pulse laser-induced breakdown spectroscopy (LS-DP-LIBS) method was applied to qualitative and quantitative analyses of underwater steel samples to improve the detection ability of underwater measurement. The stable plasma intensity and discrete emission lines were detected using LS-DP-LIBS when comparing the measured results of single-pulse LIBS (SP-LIBS) and LS-DP-LIBS. The long pulse produces a cavitation bubble without plasma, and the short pulse induces the plasma of steel samples within the bubble. The detection features of LS-DP-LIBS for underwater steel samples were discussed in different intra-pulse delay time, long-pulse width, and delay time conditions when analyzing the measured spectra, the signal intensity of Fe(I) at 400.524 nm and 402.187 nm, Mn(I) at 404.136 nm, and intensity ratio of Mn(I) 404.136 nm/Fe(I) 402.187 nm. The results indicated that the plasma stability and spectral signal intensity were improved significantly with a long-pulse width of 80 µs in the intra-pulse delay time of 70 µs, which were appropriate for bubble formation and plasma generation. According to the discussion of the delay time effect, the state of generated plasma was almost stable from 650 ns to 850 ns. Manganese (Mn) contents in steel samples were analyzed quantitatively when measuring five steel samples with different Mn contents using LS-DP-LIBS in optimal experimental conditions. A strong linear dependence was observed with R2=0.9842, which demonstrated the feasibility and appropriateness of quantitative analysis for underwater measurement using LS-DP-LIBS.

© 2021 The Author(s)

PDF Article
More Like This
Quantitative elemental analysis of steel using calibration-free laser-induced breakdown spectroscopy

M. L. Shah, A. K. Pulhani, G. P. Gupta, and B. M. Suri
Appl. Opt. 51(20) 4612-4621 (2012)

Accuracy improvement of quantitative analysis by spatial confinement in laser-induced breakdown spectroscopy

L.B. Guo, Z.Q. Hao, M. Shen, W. Xiong, X.N. He, Z.Q. Xie, M. Gao, X.Y. Li, X.Y. Zeng, and Y.F. Lu
Opt. Express 21(15) 18188-18195 (2013)

Quantitative analysis of steel samples using laser-induced breakdown spectroscopy with an artificial neural network incorporating a genetic algorithm

Kuohu Li, Lianbo Guo, Jiaming Li, Xinyan Yang, Rongxing Yi, Xiangyou Li, Yongfeng Lu, and Xiaoyan Zeng
Appl. Opt. 56(4) 935-941 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.