Open AccessA two-nearest-neighbor structure model and analysis of low-expansion Fe–Ni alloys
Author(s) -
Hai-Lian Hong,
Hao Gao,
Chi-Hsin Yang,
KunChieh Wang,
Hongping Yan
Publication year - 2021
Publication title -
modern physics letters b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.293
H-Index - 44
eISSN - 1793-6640
pISSN - 0217-9849
DOI - 10.1142/s0217984921410098
Subject(s) - cluster expansion , k nearest neighbors algorithm , materials science , alloy , cluster (spacecraft) , range (aeronautics) , composition (language) , statistical physics , physics , thermodynamics , computer science , metallurgy , artificial intelligence , linguistics , philosophy , composite material , programming language
The main goal of the study is to introduce a two-nearest-neighbor structure model for analyzing low-expansion Fe–Ni alloys. A two-shell atomic structure model is proposed to accurately locate the compositions of the alloy. In the presented model, the Cowley parameters of the alloy short-range ordered structure are considered. The selection of the first-nearest-neighbor cluster is determined, and the number and composition ratio of the second-nearest-neighbor atoms are evaluated by means of the spherical periodic oscillation model. The results show that the developed formula can provide a practical procedure for the composition design of low-expansion Fe–Ni alloys.