| 光谱学与光谱分析 |
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| Element Distribution Analysis of Welded Fusion Zone by Laser-Induced Breakdown Spectroscopy |
| YANG Chun1, 2, ZHANG Yong1, JIA Yun-hai1*, WANG Hai-zhou1 |
1. Central Iron & Steel Research Institute，Beijing 100081, China
2. School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China |
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Abstract Over the past decade there has been intense activity in the study and development of laser-induced breakdown spectroscopy (LIBS). As a new tool for surface microanalysis, it caused widespread in materials science because of the advantage of rapid and high sensitivity. In the present paper, the distribution of Ni, Mn, C and Si near weld fusion line was analyzed on two kinds of weld sample. Line scanning mode analysis was carried out by three different kinds of methods, namely laser-induced breakdown spectroscopy (LIBS), scanning electron microscope/energy dispersive spectrometer (SEM/EDS) and electron probe X-ray microanalyser (EPMA). The concentration variation trend of Ni and Mn acquired by LIBS is coincident with SEM/EDS and EPMA. The result shows that the content of Ni and Mn was significantly different between weld seam and base metal on both the samples. The content of Ni and Mn was much higher in weld seam than in base metal, and a sharp concentration gradient was analyzed in the fusion zone. According to the distribution of Ni and Mn, all the three methods got a similar value of welded fusion zone width. The concentration variation trend of C and Si acquired by LIBS is not coincident with SEM/EDS and EPMA. The concentration difference between weld seam and base metal was analyzed by LIBS, but had not by SEM/EDS and EPMA, because of the low concentration and slight difference. The concentration gradient of C and Si in fusion zone was shows clearly by LIBS. For higher sensitivity performance, LIBS is much more adapted to analyze low content element than SEM/EDS and EPMA.
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Received: 2013-07-04
Accepted: 2013-10-03
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Corresponding Authors:
JIA Yun-hai
E-mail: yangchun11@mails.tsinghua.edu.cn
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[1] LU Wei-yu，WU Kai-ming，WANG Hong-hong，et al(卢伟煜，吴开明，王红鸿，等). Transactions of the China Welding Institution(焊接学报)，2012，33(8)：49.
[2] YANG Jun，WU Lu-hai，MAO He-fang(杨 军，吴鲁海，茅和放)，Transactions of the China Welding Institution(焊接学报)，2006，27(03)：86.
[3] Khater M A, Spectrochim. Acta B, 2013, 81:1.
[4] Rodriguez-Celis E M, Gornushkin I B., Heitmann U M, et al. Anal. Bioanal. Chem, 2008, 391 (5): 1961.
[5] Singh V K, Singh V, Rai A K, Thakur S N, et al. Applied Optics, 2008, 47(31): G38.
[6] Tereszchuk K A, Vadillo J M, Laserna J J，et al. Spectrochimica Acta Part B, 2009, 64:378.
[7] Balzer H, Hoehne M, Sturm V, et al. Spectrochimica Acta Part B, 2005, 60:1172.
[8] Menut D, Fichet P, Lacour J L, et al. Applied Optics, 2003, 42(30): 6063.
[9] Izmer A V，Zoriy M V，Pickhardt C，et al. Journal of Analytical Atomic Spectrometry, 2005, 20: 918.
[10] Zhang Y, Jia Y H, Chen J W, et al. Front. Phys: 2012, 7(6): 714. |
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