Elemental Quantitative Distribution and Statistical Analysis on Cross Section of Stainless Steel Sheet by Laser Ablation Inductively Coupled Plasma Mass Spectrometry

• Published in: Journal of iron and steel research, international Vol. 22; no. 8; pp. 730 - 737
• Main Authors: LUO, Qian-hua, WANG, Hai-zhou
• Format: Journal Article
• Language: English
• Published: Singapore Elsevier Ltd 01.08.2015; Springer Singapore
• Subjects: Applied and Technical Physics; elemental distribution; Engineering; LA-ICP-MS; laser ablation inductively coupled plasma mass spectrometry; Machines; Manufacturing; Material; Materials Engineering; Materials Science; Metallic Materials; Physical Chemistry; Processes; stainless steel sheet; statistic analysis; 不锈钢板材; 不锈钢片; 元素分布图; 横截面; 激光烧蚀法; 电感耦合等离子体质谱法; 统计分析; laser ablation inductively coupled plasma mass spectrometry; statistic analysis; stainless steel sheet; elemental distribution
• DOI: 10.1016/S1006-706X(15)30064-9
• ISSN: 1006-706X

An innovative application of laser ablation inductively coupled plasma mass spectrometry （LA-ICP-MS） technique in illustrating elemental distributions on stainless steel sheets was presented. The technique proved to be a systematic and accurate ap- proach in producing visual images or maps of elemental distributions at cross-sectional surface of a stainless steel sheet. Two stain- less steel sheets served as research objects： 3 mm×l 300 mm hot-rolled stainless steel plate and 1 mm×l 260 mm cold-rolled plate. The cross-sectional surfaces of the two samples at 1/4 position along the width direction were scanned （raster area -44 mm2 and 11 mm2） with a focused laser beam （wavelength 213 nm, diameter of laser crater 100 μm, and laser power 1.6 mJ） in a laser abla- tion chamber. The laser ablation system was coupled to a quadrupole ICP-MS, which made the detection of ion intensities of 27A1＋, 44Ca＋, 47Ti-, 55Mn＋ and 56Fe＋ within an area of interest possible. One-dimensional （ID） content line distribution maps and two- dimensional （2D） contour maps for specific positions or areas were plotted to indicate the element distribution of a target area with high accuracy. Statistic method was used to analyze the acquired data by calculating median contents, maximum segregation, sta- tistic segregation and content-frequency distribution.