Literature DB >> 25791794

Concentration depth distribution of grain boundary segregation measured by wavelength dispersive X-ray spectroscopy.

Wuqiang Yang1, Min Xu1, Huanhuan Bai1, Ye Meng1, Litao Wang2, Lifa Shi2, Yinghao Pei2, Jian Zhang2, Lei Zheng3.   

Abstract

A method using wavelength dispersive X-ray spectroscopy (WDS) is applied to the measurement of grain boundary segregation of Sn in silicon steel. The quantification of monolayer concentration of Sn is acquired, which demonstrates an obvious segregation of Sn at grain boundaries. In consideration of the fact that segregated impurities (Sn or other species) distribute in multilayer and not just monolayer segregation can be characterized by WDS, the Gaussian distribution is applied to formulate the multilayer concentration depth distribution according to the measured total concentration. A correction factor is then put forward to improve the quantification. Based on the measured segregation of Sn and the derived formula of multilayer concentration depth distribution, the grain boundary concentrations of Sn are calculated for different thicknesses of segregated layer. From the experimental measurement, theoretical analyses and calculated results, an effective approach for the research of grain boundary segregation is provided.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Concentration depth distribution; Gaussian distribution; Grain boundary segregation; Wavelength dispersive X-ray spectroscopy

Year:  2015        PMID: 25791794     DOI: 10.1016/j.ultramic.2015.03.004

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  2 in total

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Authors:  Kamil Gancarczyk; Maciej Zubko; Aneta Hanc-Kuczkowska; Barbara Kościelniak; Robert Albrecht; Dariusz Szeliga; Maciej Motyka; Waldemar Ziaja; Jan Sieniawski
Journal:  Materials (Basel)       Date:  2019-10-19       Impact factor: 3.623

2.  Surface Oxidation of TiNiSn (Half-Heusler) Alloy by Oxygen and Water Vapor.

Authors:  Oshrat Appel; Shai Cohen; Ofer Beeri; Noah Shamir; Yaniv Gelbstein; Shimon Zalkind
Journal:  Materials (Basel)       Date:  2018-11-15       Impact factor: 3.623

  2 in total

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