Quantitative interface models for simulating microstructure evolution

J. Z. Zhu, T. Wang, S. H. Zhou, Zi-kui Liu, Long-qing Chen

Research output: Contribution to journalArticle

38 Citations (Scopus)

Abstract

To quantitatively simulate microstructural evolution in real systems, we investigated three different interface models: a sharp-interface model implemented by the software DICTRA and two diffuse-interface models which use either physical order parameters or artificial order parameters. A particular example is considered, the diffusion-controlled growth of a γ precipitate in a supersaturated γ matrix in Ni-Al binary alloys. All three models use the thermodynamic and kinetic parameters from the same databases. The temporal evolution profiles of composition from different models are shown to agree with each other. The focus is on examining the advantages and disadvantages of each model as applied to microstructure evolution in alloys.

Original languageEnglish (US)
Pages (from-to)833-840
Number of pages8
JournalActa Materialia
Volume52
Issue number4
DOIs
StatePublished - Feb 23 2004

Fingerprint

Microstructure
Microstructural evolution
Binary alloys
Kinetic parameters
Precipitates
Thermodynamics
Chemical analysis

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Ceramics and Composites
  • Polymers and Plastics
  • Metals and Alloys

Cite this

Zhu, J. Z. ; Wang, T. ; Zhou, S. H. ; Liu, Zi-kui ; Chen, Long-qing. / Quantitative interface models for simulating microstructure evolution. In: Acta Materialia. 2004 ; Vol. 52, No. 4. pp. 833-840.
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Quantitative interface models for simulating microstructure evolution. / Zhu, J. Z.; Wang, T.; Zhou, S. H.; Liu, Zi-kui; Chen, Long-qing.

In: Acta Materialia, Vol. 52, No. 4, 23.02.2004, p. 833-840.

Research output: Contribution to journalArticle

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