个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 大连理工大学宁波研究院
性别:男
毕业院校:清华大学
学位:博士
所在单位:材料科学与工程学院
学科:材料加工工程
办公地点:辽宁省凝固控制与数字化制备技术重点实验室/大连理工大学铸造中心401
联系方式:0411-84709500
电子邮箱:eyguo@dlut.edu.cn
The influence of nanoparticles on dendritic grain growth in Mg alloys
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论文类型:期刊论文
发表时间:2018-06-15
发表刊物:ACTA MATERIALIA
收录刊物:SCIE、EI
卷号:152
页面范围:127-137
ISSN号:1359-6454
关键字:Metal matrix nanocomposites; Dendritic solidification; Nanoparticles; Tomography; Iterative image reconstruction
摘要:Melt processing offers a cost effective method for producing metal matrix nanocomposite (MMNC) components; however, the influence of nanoparticles on the evolving microstructure during solidification is still not well understood. In this study, the effect of SiC nanoparticles on alpha-Mg dendrite evolution in a Mg-25Zn-7Al (wt.%) alloy was investigated through 4D (three dimensions plus time) synchrotron tomographic quantification of solidification experiments conducted at different cooling rates with and without nanoparticles. Key features of the solidifying primary alpha-Mg dendritic grains were quantified, including grain morphology, size distribution, and dendrite tip velocity. To obtain the high-contrast tomography dataset necessary for structure quantification, a new image reconstruction and processing methodology was implemented. The results reveal that the addition of nanoparticles increases grain nucleation whilst restricting dendritic growth and altering the dendritic grain growth morphology. Using LGK model calculations, it is shown that these changes in solidification microstructure occur as a result of nanoparticle-induced restriction in Zn's effective diffusivity ahead of the dendrite tips, reducing tip velocity. The results both suggest the key phenomena required to be simulated when numerically modelling solidifying Mg-based MMNC and provide the data required to validate those models. (C) 2018 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.