Characterization of short-range ordered domains using quantitative X-ray diffraction

LUO, Quanshun (2018). Characterization of short-range ordered domains using quantitative X-ray diffraction. Nanoscience and Nanotechnology Letters, 10 (5-6), 835-842.

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Link to published version:: https://doi.org/10.1166/nnl.2018.2722
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    Abstract

    Short-range ordered domains, such as nano-scale clusters and intermetallic precipitates are important structural constituents in high-performance materials. A challenge exists in the characterization of these domains although several complementary analytical tools have been applied. This paper present recent development of a quantitative X-ray diffraction method, in which a Gaussian approach is employed to fit every single diffraction peak of a diffraction curve acquired from a material containing nano-scale ordered domains. Consequently, the domains can be quantitatively characterised for their chemical compound identification, coherent lattice mismatch to the parent phase, and grain size. Two sample alloys have been employed to demonstrate the quantitative analysis. In a nickel based alloy, Nimonic 263, the intermetallic Gamma Prime-Ni3(Al,Ti) is an ordered solid solution precipitate coherently precipitating from the Gamma-Ni parent phase. The coherent lattice mismatch between the Gamma Prime and Gamma has been determined through the quantitative analysis. In the second example, the metastable expanded austenite (Gamma-N) phase generated on the surface of an austenitic stainless steel has been characterised to reveal the formation of nano-scale quisi-crystalline clusters of CrN, Cr2N and Fe4N compounds.

    Item Type: Article
    Uncontrolled Keywords: Quantitative analysis, X-ray diffraction, Short-range ordered domains, Nano precipitates, Nitrided stainless steel
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Materials Analysis and Research Services
    Identification Number: https://doi.org/10.1166/nnl.2018.2722
    Page Range: 835-842
    Depositing User: Quanshun Luo
    Date Deposited: 26 Jun 2018 10:16
    Last Modified: 16 Nov 2018 13:23
    URI: http://shura.shu.ac.uk/id/eprint/21690

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