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

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 elemen...

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Bibliographic Details
Published inJournal of iron and steel research, international Vol. 22; no. 8; pp. 730 - 737
Main Authors LUO, Qian-hua, WANG, Hai-zhou
Format Journal Article
LanguageEnglish
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
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Summary: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.
Bibliography: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.
11-3678/TF
stainless steel sheet; laser ablation inductively coupled plasma mass spectrometry; elemental distribution; statistic analysis
Qian-hua LUO, Hai-zhou WANG （Central Iron and Steel Research Institute, Beijing 100081, China）
ISSN:1006-706X
2210-3988
DOI:10.1016/S1006-706X(15)30064-9