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

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...

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Bibliographic Details
Published inJournal of materials processing technology Vol. 169; no. 3; pp. 493 - 502
Main Authors Yu, Qiang, Esche, Sven K.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.12.2005
Subjects
Finite Element Method
Grain growth
Mesoscopic models
Microstructure
Recrystallization
Thermo-mechanical processing
Mesoscopic models
Thermo-mechanical processing
Grain growth
Finite Element Method
Microstructure
Recrystallization
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Summary: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.
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ISSN:0924-0136
DOI:10.1016/j.jmatprotec.2005.03.027