A Data-Constrained 3D Model for Material Compositional Microstructures

Sam Yang; Scott Furman; Andrew  Tulloh

doi:10.4028/www.scientific.net/AMR.32.267

Paper Titles

Crystal Plasticity Finite Element Modelling of BCC Deformation Texture in Cold Rolling
p.251

A Study on the Uniaxial Tension of FCC Metals at Nano Level Using MD
p.255

A Study on the Nanoindentation Behaviour of Single Crystal Silicon Using Hybrid MD-FE Method
p.259

Crack Analysis Using an Improved Meshless Technique with Irregular Nodes
p.263

A Data-Constrained 3D Model for Material Compositional Microstructures
p.267

Solidification Microstructure Modelling Using Cellular Automaton Method
p.271

Characterization of Virtual Nano-Structures through the Use of Monte Carlo Integration
p.275

Design of Periodic Microstructural Materials by Using Evolutionary Structural Optimization Method
p.279

Multiscale Particle-In-Cell Modelling for Advanced High Strength Steels
p.285

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 32A Data-Constrained 3D Model for Material...

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.