Paper Title:
A Data-Constrained 3D Model for Material Compositional Microstructures
  Abstract

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.

  Info
Periodical
Edited by
John Bell, Cheng Yan, Lin Ye and Liangchi Zhang
Pages
267-270
DOI
10.4028/www.scientific.net/AMR.32.267
Citation
S. Yang, S. Furman, A. Tulloh, "A Data-Constrained 3D Model for Material Compositional Microstructures", Advanced Materials Research, Vol. 32, pp. 267-270, 2008
Online since
February 2008
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Price
$32.00
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