Binary alloy simulation: A phase-field model study using semi implicit fourier spectral algorithm

Olanipekun Ayorinde Tayo, Timothy O. Laseinde, Madindwa Mashinini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Phase field modelling, a robust computational approach for modelling, predicting microstructure evolution and to speculate mesoscale morphological in various materials. In this study, we have discretized the time variable using semi-implicit instead of explicit scheme, semi-implicit scheme is known to allow a larger time step sizes than explicit schemes. Meanwhile, the discretization of the space variable is carried out using a Fourier spectral method, having a convergence rate that is exponential when compared to the second order Finite-difference method. Meanwhile, a numerical implementation of Cahn-Hilliard equation via semi-implicit Fourier spectral algorithm for conserved quantities was also demonstrated for binary alloy simulation. However, Isothermal conditions are considered and Non-dimmensionalisation is done. Lastly, we implemented a MATLAB code to solve the phase field equation and visualize our model.

Original languageEnglish
Title of host publication4th North American IEOM Conference. IEOM 2019
PublisherIEOM Society
Pages1222-1228
Number of pages7
ISBN (Print)9781532359507
Publication statusPublished - 2019
Event4th North American IEOM Conference. IEOM 2019 - Toronto, Canada
Duration: 23 Oct 201925 Oct 2019

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference4th North American IEOM Conference. IEOM 2019
Country/TerritoryCanada
CityToronto
Period23/10/1925/10/19

Keywords

  • Binary alloy
  • Cahn-hilliard equation
  • Fourier spectral method
  • Microstructure evolution
  • Phase-field
  • Semi-implicit

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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