Generation of statistically representative synthetic three-dimensional microstructures

被引：22
|
作者：
Mandal, Sudipto [1 ]
Lao, Jacky [1 ]
Donegan, Sean [2 ]
Rollett, Anthony D. [1 ]
机构：
[1] Carnegie Mellon Univ, Dept Mat Sci & Engn, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
[2] US Air Force, Res Lab, Mat & Mfg Directorate, AFRL RXCM, Wright Patterson AFB, OH 45433 USA
来源：
SCRIPTA MATERIALIA | 2018年 / 146卷
关键词：
Microstructure; Modeling; Texture; Titanium alloys; Probability distributions; POLYCRYSTALLINE MICRO STRUCTURES; DIFFRACTION MICROSCOPY; AUTOMATED-ANALYSIS; FLOW BEHAVIOR; 3D; SIMULATION; FRAMEWORK; ALLOY; PHASE; MODEL;
D O I：
10.1016/j.scriptamat.2017.11.034
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
This study provides a general framework for the creation of three-dimensional microstructures for anisotropic two-phase materials with complex morphologies. The ability to create synthetic microstructures that are statistically representative of real materials is dependent on the ability of the generation algorithm to meet the assigned statistics. Hence, the fidelity of the synthetic microstructure depends on the efficiency of the generation process. The generated microstructures were statistically evaluated with respect to the target distribution for grain size, shape, orientation and phase volume fraction. This serves a dual purpose of validation of the packing algorithm and quantification of the 3D microstructures. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：128 / 132
页数：5
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