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Applied Surface Science
Article . 2019 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Applied Surface Science
Article
License: CC BY NC ND
Data sources: UnpayWall
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The mechanism of surface nanocrystallization during plasma nitriding

Authors: J.W. Yao; F.Y. Yan; M.F. Yan; Y.X. Zhang; D.M. Huang; Y.M. Xu;

The mechanism of surface nanocrystallization during plasma nitriding

Abstract

Abstract Motivated by the observation of in-situ nanocrystallization in the surface layer of plasma nitrided steels, this work is carried out to establish a thermodynamic model that describes the Gibbs free energy of BCC-Fe solution using the quasi-binary solution model. The model is specifically developed for the nitriding process of the multi-component steels, whose composition is first converted to an Fe-Creq-N ternary system using the concept of Cr equivalent through the relative elemental electronegativities with respect to nitrogen. With the thermodynamic model, the limit of stability of the BCC pseudo binary solution can be evaluated with temperatures and used to guide the selection of nitriding conditions. It has been recognized that the nitrogen-containing martensite is unstable and likely to decompose in the form of spinodal decomposition over a specific compositional/temperature range. 40CrNi steel is adopted in this work and plasma nitrided at 800 K for 8 h. Nano-scale FeN1/12 phase and high‑nitrogen martensite phase have been experimentally observed in the nitrided surface layer, which embraces the thermodynamic predictions in terms of nanocrystallization via spinodal decomposition.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
hybrid