A multi-scale approach for microstructure prediction in thermo-mechanical processing of metals

Qiang Yu, Sven K. Esche

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

The microstructure prediction methodology for thermo-mechanical processing of metals predominantly used in industrial practice exhibits strong empirical characteristics with corresponding drawbacks. This gives rise to a systematic multi-scale simulation methodology for predicting the microstructure evolution, in which the empirical microstructural relationships are replaced by numerically efficient and accurate physics-based models at the mesoscopic length scale. Currently, this approach is being implemented into a microstructure modeling system, which combines mesoscopic microstructural algorithms with continuum-based macroscopic FEM formulations through a multi-scale modeling interface. This approach is expected to overcome the shortcomings of current microstructure prediction practice employing empirical microstructural relationships, and to provide universal and accurate prediction capabilities.

Original languageEnglish
Pages (from-to)493-502
Number of pages10
JournalJournal of Materials Processing Technology
Volume169
Issue number3
DOIs
StatePublished - 1 Dec 2005

Keywords

  • Finite Element Method
  • Grain growth
  • Mesoscopic models
  • Microstructure
  • Recrystallization
  • Thermo-mechanical processing

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