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Coupling Microstructure Characterization with Microstructure Evolution

  • Chen Shen
  • Ning Ma
  • Yuwen Cui
  • Ning Zhou
  • Yunzhi Wang
Chapter

Abstract

Microstructure reconstruction in 3D and quantitative digital representation are enabling consideration of polycrystalline and multi-phase microstructures in mechanics codes in a realistic way. To take full advantage of these advances, we discuss in this chapter the synergy of coupling quantitative microstructure characterization by experimental imaging techniques with quantitative microstructural evolution modeling by image-based computer simulation techniques such as the phase field method. Specific attention will be paid to the fundamentals of the phase field method for microstructure representation and description of microstructure evolution, and procedures of using experimental images as model inputs. Through individual examples we show how to use the phase field method at different length scales to: explore mechanisms of microstructural evolution, extract important materials parameters, carry out physics-based repairs of experimentally reconstructed microstructures, and evolve existing microstructures or generate new microstructures to populate digital microstructural database for different time, temperature, stress, and other service conditions for mechanical property explorations.

Keywords

Phase Field Phase Field Model Orientation Imaging Microscopy Phase Field Method Phase Field Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We gratefully acknowledge financial supports by the Office of Naval Research through the D 3D program (Grant No. N00014-05-1-0504), U.S. Air Force Office of Scientific Research through the Metals Affordability Initiative Program on Durable High Temperature Disks and the STW21 Program on Multi-Materials System with Adaptive Microstructures for Aerospace Applications (Grant No. FA9550-09-1-0014), and the National Science Foundation (Grant No. CMMI-0728069). The simulations were performed on supercomputers at the Arctic Region Supercomputing Center and the Ohio Supercomputing Center.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Chen Shen
  • Ning Ma
  • Yuwen Cui
  • Ning Zhou
  • Yunzhi Wang
    • 1
  1. 1.Department of Materials Science and EngineeringThe Ohio State UniversityColumbusUSA

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