Efficient three-phase reconstruction of heterogeneous material from 2D cross-sections via phase-recovery algorithm.

作者: ALI HASANABADI , MAJID BANIASSADI , KAREN ABRINIA , MASOUD SAFDARI , HAMID GARMESTANI

DOI: 10.1111/JMI.12454

关键词: Key (cryptography)AlgorithmPhase (waves)Representative elementary volumePercolationTortuosityComputer scienceSpectral methodThree-phaseMicrostructure

摘要: Digital reconstruction of a complex heterogeneous media from the limited statistical information, mostly provided by different imaging techniques, is key to successful computational analysis this important class materials. In study, novel approach presented for three-dimensional (3D) three-phase microstructure its information two-dimensional (2D) cross-sections. three-step method, first two-point correlation functions (TPCFs) are extracted cross-section(s) using spectral method suitable media. next step, 3D TPCFs approximated all vectors in representative volume element (RVE). Finally, realized full-set obtained previous modified phase-recovery algorithm. The generally applicable any media, here illustrated an SOFC anode microstructure. capabilities and shortcomings then investigated performing qualitative comparison between example cross-sections computationally their experimental equivalents. it shown that almost conserves microstructural properties including tortuosity, percolation boundary length (TPBL).

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