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Multivariate Calibration of Concentrations of C, Mn, Si, Cr, Ni, and Cu in Low-Alloy Steels from Raw Low-Resolution Spectra Obtained By Laser-Induced Breakdown Spectroscopy
Multivariate models were developed on the basis of raw low-resolution LIBS spectra of reference samples of lowalloy steels for calibration of the concentrations of the six chemical elements (C, Mn, Si, Cr, Ni, and Cu) that are the main technological and alloying additives. The multivariate models fo...
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Published in: | Journal of applied spectroscopy 2021-11, Vol.88 (5), p.970-974 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Multivariate models were developed on the basis of raw low-resolution LIBS spectra of reference samples of lowalloy steels for calibration of the concentrations of the six chemical elements (C, Mn, Si, Cr, Ni, and Cu) that are the main technological and alloying additives. The multivariate models for the C (mean-square deviation for the tested dataset 0.06%) and Mn (0.12%) content are quantitative with sufficient accuracy for practical application, semiquantitative for Si (0.09%) and Ni (0.07%), and qualitative for Cr (0.13%) and Cu (0.08%) |
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ISSN: | 0021-9037 1573-8647 |
DOI: | 10.1007/s10812-021-01267-4 |