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Updated: May 28, 2026

Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
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Advances in Metal Microstructure Simulation and Analysis.

Meng Liu1,2,3, Hongrui Zhou2, Hui Jiang3

  • 1School of Mechanical and Power Engineering, Harbin University of Science and Technology, Xue Fu Street, Harbin 150080, China.

Materials (Basel, Switzerland)
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

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This review compares simulation methods for metal microstructure evolution, crucial for material design. Method selection depends on the specific mechanism, scale, and resources, guiding future applications.

Area of Science:

  • Materials Science
  • Computational Materials Science
  • Metallurgy

Background:

  • Accurate simulation of metal microstructure evolution is vital for material design and performance.
  • Key evolution mechanisms include recrystallization, grain growth, slip, twinning, and phase transformation.

Purpose of the Study:

  • To review and classify major simulation methods for metal microstructure evolution.
  • To provide guidance on selecting appropriate simulation methods based on practical trade-offs.

Main Methods:

  • Classification of methods into atomistic (e.g., Molecular Dynamics), discrete-field (e.g., Monte Carlo, Cellular Automata), and continuous-field (e.g., Phase Field, Finite Element).
  • Development of a semi-quantitative evaluation matrix assessing accuracy, computational cost, scalability, and applicability.
Keywords:
changes in metal microstructurecontinuous field modeldiscrete field modelmicrostructure

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Last Updated: May 28, 2026

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Published on: May 14, 2016

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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  • Comparison of discrete-field and continuous-field approaches.

    • Main Results:

    • No single simulation method is universally optimal for all microstructure evolution scenarios.
    • Method selection is contingent upon the dominant physical mechanism, target length scale, required accuracy, and computational resources.
    • Molecular Dynamics is highlighted for atomic-scale insights and parameter calibration.

    Conclusions:

    • This review offers methodological guidance for multiscale microstructure simulation.
    • The findings support applications in precision machining, additive manufacturing, and process parameter optimization.
    • Informed method selection is key to advancing materials design and performance.