Rapid inspection of defects of steel by laser induced breakdown spectroscopy

被引:0
|
作者
Kondo, Hiroyuki [1 ]
Aimoto, Michihiro [1 ]
Yamamura, Hideaki [1 ]
Toh, Takehiko [1 ]
机构
[1] Materials Characterization Research Lab., Advanced Technology Research Laboratories, 20-1, Shintomi, Futtsu, Chiba, Japan
来源
关键词
Atomic emission spectroscopy - Aluminum oxide - Yttrium aluminum garnet - Alumina - Neodymium lasers - Slags;
D O I
暂无
中图分类号
学科分类号
摘要
A rapid and simple technique has been developed for inspection of defects of steel using laser induced breakdown spectroscopy (LIBS). Irradiation from a Q-switched Nd:YAG laser was focused onto the sample surface by a plano-convex lens with a spot diameter of about 1mm to ablate a portion of sample and generate a micro plasma. Emission from the plasma was transmitted by a fiber optics to a Paschen- Runge mounting polychrometer. Each sample was analyzed at two points, normal and defect parts and these two analytical results were compared with each other. Typical elements could be detected at defect part with significantly high intensities for different types of inclusion; Al for alumina, Al, Ca, Mg, Si, Na for mold flux and Al, Ca, Mg for slag. Therefore, type of non-metallic inclusion causing the defect could be attributed by LIBS. An evaluation time was within 30 minutes including sample preparation. The developed method was also applied to elemental mapping of central segregation of slabs.
引用
收藏
页码:72 / 77
相关论文
共 50 条
  • [1] Characterization of the Delamination Defects in Marine Steel Using Laser-Induced Breakdown Spectroscopy
    Yang Chun
    Jia Yunhai
    Zhang Yong
    Li Dongling
    Liu Jia
    Chen Jiwen
    Chen Yongyan
    Liu Ying
    PLASMA SCIENCE & TECHNOLOGY, 2015, 17 (08) : 671 - 675
  • [2] Characterization of the Delamination Defects in Marine Steel Using Laser-Induced Breakdown Spectroscopy
    杨春
    贾云海
    张勇
    李冬玲
    刘佳
    陈吉文
    陈永彦
    刘英
    Plasma Science and Technology, 2015, (08) : 671 - 675
  • [3] Characterization of the Delamination Defects in Marine Steel Using Laser-Induced Breakdown Spectroscopy
    杨春
    贾云海
    张勇
    李冬玲
    刘佳
    陈吉文
    陈永彦
    刘英
    Plasma Science and Technology, 2015, 17 (08) : 671 - 675
  • [4] Rapid in-situ analysis of liquid steel by laser-induced breakdown spectroscopy
    Gruber, J
    Heitz, J
    Strasser, H
    Bäuerle, D
    Ramaseder, N
    SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2001, 56 (06) : 685 - 693
  • [5] Rapid Soil Classification with Laser Induced Breakdown Spectroscopy
    De-shuo, Meng
    Nan-jing, Zhao
    Ming-jun, Ma
    Yan-hong, Gu
    Yang, Yu
    Li, Fang
    Yuan-yuan, Wang
    Yao, Jia
    Wen-qing, Liu
    Jian-guo, Liu
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37 (01) : 241 - 246
  • [6] Laser-induced breakdown spectroscopy applications in the steel industry: Rapid analysis of segregation and decarburization
    Boue-Bigne, Fabienne
    SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2008, 63 (10) : 1122 - 1129
  • [7] Rapid Analysis of Steel Powder for D Printing Using Laser-Induced Breakdown Spectroscopy
    Guo, Haorong
    Feng, Zhongqi
    Cui, Minchao
    Deguchi, Yoshihiro
    Tan, Liang
    Zhang, Dacheng
    Yao, Changfeng
    Zhang, Dinghua
    ISIJ INTERNATIONAL, 2022, 62 (05) : 883 - 890
  • [8] Rapid Classification of Laser Induced Breakdown Spectroscopy of Titanium Alloys
    Xu Cheng
    Li Fang
    Chen Feng
    Zhang Deng
    Deng Fan
    Guo Lianbo
    ACTA PHOTONICA SINICA, 2022, 51 (04) : 176 - 186
  • [9] Laser-induced breakdown spectroscopy and multivariate statistics for the rapid identification of oxide inclusions in steel products
    Boue-Bigne, Fabienne
    SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, 2016, 119 : 25 - 35
  • [10] Rapid Classification of Steel by a Mobile Laser-Induced Breakdown Spectroscopy Based on Optical Fiber Delivering Laser Energy
    Li Wen-xin
    Chen Guang-hui
    Zeng Qing-dong
    Yuan Meng-tian
    He Wu-guang
    Jiang Ze-fang
    Liu Yang
    Nie Chang-Jiang
    Yu Hua-qing
    Guo Lian-bo
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41 (08) : 2638 - 2643