A data-constrained 3D model for material compositional microstructures

被引：0

作者：

Yang, Sam ^{[1
]}

Furman, Scott ^{[1
]}

Tulloh, Andrew ^{[2
]}

机构：

[1] CSIRO Mat Sci & Engn, Private Bag 33, Clayton, Vic 3169, Australia

[2] Ensis, Clayton, Vic 3168, Australia

来源：

FRONTIERS IN MATERIALS SCIENCE AND TECHNOLOGY | 2008年 / 32卷

关键词：

mathematical model; data-constrained; data-driven; material; composition; microstructure; tomography;

D O I：

10.4028/www.scientific.net/AMR.32.267

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A mathematical model has been developed for predicting material compositional microstructures using measured data as constraints. Examples of measured data include 3-D sets of tomography data, 2-D sets of compositional data on surfaces and sections, and material absorption and interaction properties. The model has been partially implemented as a MS-Windows application. Reasonable agreement has been obtained between the numerical predictions from the software and the simulated data. The predicted microstructures could be used to study various material properties such as porosity distribution, diffusion and corrosion.

引用

页码：267 / +

页数：2

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