Determination of Acid-Insoluble Aluminum Content in Steel by Laser-Induced Breakdown Spectroscopy
YANG Chun1, 2, JIA Yun-hai1, ZHANG Yong1
1. Central Iron & Steel Research Institute，Beijing 100081, China 2. School of Materials Science and Engineering, Tsinghua University, Beijing100084, China
Abstract：Laser-induced breakdown spectroscopy (LIBS) has become a very attractive and popular chemical analysis technique in material science for its advantage of rapidanalysis, non-contact measurement, micro surface analysis and online analysis. In this paper, LIBS were used to determine insoluble aluminum content by analyzing the scanning data on massive steel samples. Abnormal data were discarded by Nalimov criterion, and the remaining data was used to calculate the average and the standard deviation. The threshold to distinguish acid-insoluble aluminum and soluble aluminum was identified as the average value plus triple standard deviation. Two different mathematical models were proposed to calculate insoluble aluminum content, respectively according to the ratio of the total acid-insoluble aluminium signal strength to total aluminum signal strength and acid-insoluble signal number to total aluminum signal number. The total aluminum content was determined by the calibration curve. Insoluble aluminum content of certified reference materials and plate blank samples obtained by mathematical model is coincident to chemical wet method results. The result according to total acid-insoluble aluminium signal strength is much better. LIBS can be used as a rapid analysis method to characterize insoluble aluminum content in steel samples.
[1] Kuss H M, Lüngen S, Müller G, et al. Analytical and Bioanalysis Chemistry, 2002, 374(7-8): 1242. [2] Falk H, Wintjens P. Spectrochimica Acta Part B, 1998, 53(1): 49. [3] Winefordner J D, Gornushkin I B, Correll T, et al. Journal of Analytical Atomic Spectrometry，2004, 19(9): 1061. [4] Cremers D A, Chinni R C. Applied Spectroscopy Reviews, 2009, 44(6): 457. [5] Fortes F J, Laserna J J. Spectrochimica Acta Part B, 2010, 65(12): 975. [6] Hahn D W, Omentto N. Applied Spectroscopy, 2012, 66(4): 347. [7] Bette H, Noll R. J. Phys. D: Appl. Phys.，2004, 37(8): 1281. [8] Kuss H M, Mittelstaedt H, Mueller G. Journal of Analytical Atomic Spectrometry，2005, 20(8): 730. [9] Cabalin L M, Mateo M P, Laserna J J. Spectrochimica Acta Part B，2004, 59(4): 567. [10] Mateo M P, Cabalin L M, Baena J M, et al. Spectrochimica Acta Part B，2002, 57(3): 601. [11] Cravetchi I V, Tasciuk M T, Tsui Y Y, et al. Spectrochimica Acta Part B, 2004, 54(9): 1439. [12] Zhang Y, Jia Y H, Chen J W, et al. Front. Phys., 2012, 7(6): 714. [13] Nalimov V V. The Application of Mathematical Statistics to Chemical Analysis. Pergamon Press Ltd, United Kingdom Oxford, 1963, 107.
