Improvement in classification accuracy of stainless steel alloys by laser-induced breakdown spectroscopy based on elemental intensity ratio analysis

Sungho SHIN; Youngmin MOON; Jaepil LEE; Eunsung KWON; Kyihwan PARK; Sungho JEONG

doi:10.1088/2058-6272/ab7d48

Plasma Science and Technology > 2020 > 22(7): 74011-074011. > DOI: 10.1088/2058-6272/ab7d48

Sungho SHIN, Youngmin MOON, Jaepil LEE, Eunsung KWON, Kyihwan PARK, Sungho JEONG. Improvement in classification accuracy of stainless steel alloys by laser-induced breakdown spectroscopy based on elemental intensity ratio analysis[J]. Plasma Science and Technology, 2020, 22(7): 74011-074011. DOI: 10.1088/2058-6272/ab7d48

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Improvement in classification accuracy of stainless steel alloys by laser-induced breakdown spectroscopy based on elemental intensity ratio analysis

¹ School of Mechanical Engineering, Gwangju Institute of Science and Technology, 1 Oryong-dong Buk-gu Gwangju 500-712, Republic of Korea
² Engineering Solution Research Group, Research Institute of Industrial Science and Technology, 67 Cheongam-ro Nam-gu Pohang-si Gyeongsangbuk-do, Republic of Korea

Funds: This study was supported by the R&D Center for Valuable Recycling (Global-Top R&BD Program) of the Ministry of Environment. (Project No. 2016002250003) and partially supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (P0008763, The Competency Development Program for Industry Specialist)

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Received Date: December 26, 2019
Revised Date: March 02, 2020
Accepted Date: March 05, 2020

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Abstract

Abstract

Laser-induced breakdown spectroscopy (LIBS) is a useful technique for accurate sorting of metal scrap by chemical composition analysis. In this work, a method for intensity-ratio- based LIBS classification of stainless steel applicable to highly fluctuating LIBS signal conditions is proposed. The spectral line pairs for intensity ratio calculation are selected according to elemental concentration and upper levels of emission lines. It is demonstrated that the classification accuracy can be significantly improved from that of full-spectra principal component analysis or intensity-based analysis. The proposed method is considered to be suited to an industrial scrap sorting system that requires minimal maintenance and low system price.
- laser-induced breakdown spectroscopy (LIBS),
- stainless steel,
- classification,
- intensityratio

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1.	Shentu, L., Peng, D., Xi, J. A novel neural network architecture dedicated for LIBS spectrum analysis with its application to steel pipe classification. Measurement Science and Technology, 2025, 36(1): 015215. DOI:10.1088/1361-6501/ad9166
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3.	Jeon, G., Kim, S., Kim, Y.J. et al. Identification of fluoroquinolone-resistant Mycobacterium tuberculosis through high-level data fusion of Raman and laser-induced breakdown spectroscopy. Analytical Methods, 2024, 16(37): 6349-6355. DOI:10.1039/d4ay01331j
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5.	Srivastava, E., Kim, H., Lee, J. et al. Adversarial Data Augmentation and Transfer Net for Scrap Metal Identification Using Laser-Induced Breakdown Spectroscopy Measurement of Standard Reference Materials. Applied Spectroscopy, 2023, 77(6): 603-615. DOI:10.1177/00037028231170234
6.	Song, J., Qin, X., Lyu, Q. et al. Classification study of composite insulator chemical formulations based on laser-induced breakdown spectroscopy. Electrical Engineering, 2023, 105(3): 1775-1782. DOI:10.1007/s00202-023-01771-0
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8.	Hou, J., Wang, Y. Rapid identification of rice seed based on inverse Fourier transform of laser-induced breakdown spectroscopy. Optoelectronics Letters, 2022, 18(8): 495-501. DOI:10.1007/s11801-022-1137-3
9.	Pedarnig, J.D., Trautner, S., Grünberger, S. et al. Review of element analysis of industrial materials by in-line laser—induced breakdown spectroscopy (Libs). Applied Sciences (Switzerland), 2021, 11(19): 9274. DOI:10.3390/app11199274
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11.	Hou, Z., Jeong, S., Deguchi, Y. et al. Way-out for laser-induced breakdown spectroscopy. Plasma Science and Technology, 2020, 22(7): 070101. DOI:10.1088/2058-6272/ab95f7

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Improvement in classification accuracy of stainless steel alloys by laser-induced breakdown spectroscopy based on elemental intensity ratio analysis

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