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3D Sensing System for Laser-Induced Breakdown Spectroscopy-Based Metal Scrap Identification

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Abstract

Laser-induced breakdown spectroscopy (LIBS) is an analysis technique that determines the elemental composition of a target material. Metal scraps have a range of shapes and are contaminated with other substances such as paint or dirt. This makes it difficult to recognize each piece of metal scrap accurately and to obtain clear LIBS emission spectra of the target metals. In this study, two image processing algorithms are proposed to measure the three-dimensional shapes of metal scraps and to calculate the optimized (i.e., relatively clean and flat) surface areas of metal scraps. It was confirmed that 25% higher maximum classification accuracy was achieved when LIBS spectra were acquired from optimized rather than non-optimized (i.e., contaminated) surfaces.

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Acknowledgements

This study was supported by the R&D Center for Valuable Recycling (Global-Top R&D Program) of the Ministry of Environment (Project No. 2016002250003).

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  1. Seongyun Park, Jaepil Lee, and Eunsung Kwon contributed equally to this work as co-first authors.

Authors and Affiliations

  1. School of Mechanical Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea

    Seongyun Park, Jaepil Lee, Eunsung Kwon, Daewon Kim, Sungho Shin, Sungho Jeong & Kyihwan Park

  2. Defense Agency for Technology and Quality, Jinju, 52851, Republic of Korea

    Daewon Kim

  3. Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, 47907, USA

    Sungho Shin

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  1. Seongyun Park
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Park, S., Lee, J., Kwon, E. et al. 3D Sensing System for Laser-Induced Breakdown Spectroscopy-Based Metal Scrap Identification. Int. J. of Precis. Eng. and Manuf.-Green Tech. 9, 695–707 (2022). https://doi.org/10.1007/s40684-021-00364-1

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