A Quantitative Evaluation of Phase Field Microstructure by the Spectral Analysis

Kenji Iseya; Seiji Miura; Tetsuo Mohri

doi:10.1007/s11669-014-0338-2

A Quantitative Evaluation of Phase Field Microstructure by the Spectral Analysis

Kenji Iseya, Seiji Miura, Tetsuo Mohri

Institute for Materials Research (IMR)

Research output: Contribution to journal › Article › peer-review

Abstract

Two-phase microstructure calculated by Phase Field calculations is perturbed by Gaussian filtration processes to produce a series of deteriorated images. Fourier spectral analysis is, then, performed on the resultant images to derive information of spatial distribution of phases consisting of the microstructure. It is shown that Fourier spectrum is correlated with characteristic length involved in the microstructure. By inverting a particular spectrum peak, one can estimate the spatial distribution of a particular phase.

Original language	English
Pages (from-to)	788-793
Number of pages	6
Journal	Journal of Phase Equilibria and Diffusion
Volume	35
Issue number	6
DOIs	https://doi.org/10.1007/s11669-014-0338-2
Publication status	Published - 2014 Nov 18

Keywords

imaging
phase field method
phenomenological free energy
spectral analysis
visualization of microstructure

ASJC Scopus subject areas

Condensed Matter Physics
Metals and Alloys
Materials Chemistry

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10.1007/s11669-014-0338-2

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abstract = "Two-phase microstructure calculated by Phase Field calculations is perturbed by Gaussian filtration processes to produce a series of deteriorated images. Fourier spectral analysis is, then, performed on the resultant images to derive information of spatial distribution of phases consisting of the microstructure. It is shown that Fourier spectrum is correlated with characteristic length involved in the microstructure. By inverting a particular spectrum peak, one can estimate the spatial distribution of a particular phase.",

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AB - Two-phase microstructure calculated by Phase Field calculations is perturbed by Gaussian filtration processes to produce a series of deteriorated images. Fourier spectral analysis is, then, performed on the resultant images to derive information of spatial distribution of phases consisting of the microstructure. It is shown that Fourier spectrum is correlated with characteristic length involved in the microstructure. By inverting a particular spectrum peak, one can estimate the spatial distribution of a particular phase.

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KW - phase field method

KW - phenomenological free energy

KW - spectral analysis

KW - visualization of microstructure

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A Quantitative Evaluation of Phase Field Microstructure by the Spectral Analysis

Abstract

Keywords

ASJC Scopus subject areas

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