Accurate prediction analysis of steel alloy elements by femtosecond laser-ablation spark-induced breakdown spectroscopy and out-of-bag random forest regression-Reference-Cited by-同舟云学术

Accurate prediction analysis of steel alloy elements by femtosecond laser-ablation spark-induced breakdown spectroscopy and out-of-bag random forest regression

Published:2024 Issue:5 Volume:39 Page:1417-1427
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

He Xiaoyong¹^ORCID,Dong Bing¹,Zhou Bingyan¹,Liu Jingbo¹²,Wang Yarui³

Affiliation:

1. School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, China

2. School of Energy and Automotive Engineering, Shunde Polytechnic, Foshan 528300, China

3. School of Mathematics and Physics, Henan University of Urban Construction, Pingdingshan 467036, China

Abstract

Femtosecond laser-ablation spark-induced breakdown spectroscopy (fs-LA-SIBS) and out-of-bag random forest regression (OOB-RFR) were developed for accurate quantitative analysis of the elements manganese (Mn), chromium (Cr), and nickel (Ni) in steel alloys.

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/JA/D4JA00036F

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