Growth of β intermetallic in an Al-Cu-Si alloy during directional solidification via machine learned 4D quantification

被引：25

作者：

Cai, B. ^{[1
]}

Kao, A. ^{[2
]}

Lee, P. D. ^{[3
]}

Boller, E. ^{[4
]}

Basevi, H. ^{[5
]}

Phillion, A. B. ^{[6
]}

Leonardis, A. ^{[5
]}

Pericleous, K. ^{[2
]}

机构：

[1] Univ Birmingham, Sch Met & Mat, Birmingham, W Midlands, England

[2] Univ Greenwich, Ctr Numer Modelling & Proc Anal, London, England

[3] UCL, Sch Mech Engn, London, England

[4] ESRF European Synchrotron, 71 Ave Martyrs, F-38000 Grenoble, France

[5] Univ Birmingham, Sch Comp Sci, Birmingham, W Midlands, England

[6] McMaster Univ, Dept Mat Sci & Engn, Hamilton, ON, Canada

来源：

SCRIPTA MATERIALIA | 2019年 / 165卷

基金：

英国工程与自然科学研究理事会;

关键词：

Al alloys; Intermetallics; Synchrotron X-ray tomography; 4D imaging; FE-RICH INTERMETALLICS; IN-SITU; ALUMINUM; IRON; NUCLEATION; BEHAVIOR; PHASE;

D O I：

10.1016/j.scriptamat.2019.02.007

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

Fe contamination is a serious composition barrier for Al recycling. In Fe-containing Al-Si-Cu alloy, a brittle and plate-shaped beta phase forms, degrading the mechanical properties. Here, 4D (3D plus time) synchrotron X-ray tomography was used to observe the directional solidification of Fe-containing Al-Si-Cu alloy. The quantification of the coupled growth of the primary and beta phase via machine learning and particle tracking, demonstrates that the final size of the beta intermetallics were strongly influenced by the solute segregation and space available for growth whereas the orientation was controlled by the temperature gradient direction. The work can be used to validate predictive models. (C) 2019 Published by Elsevier Ltd on behalf of Acta Materialia Inc. All rights reserved.

引用

页码：29 / 33

页数：5

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