Structural and corrosion characterization of biodegradable Mg–RE (RE=Gd, Y, Nd) alloys

材料科学 腐蚀 共晶体系 合金 杂质 冶金 三元运算 扫描电子显微镜 质量分数 分析化学(期刊) 复合材料 化学 计算机科学 色谱法 有机化学 程序设计语言
作者
Jiří Kubásek,Dalibor Vojtěch
出处
期刊:Transactions of Nonferrous Metals Society of China [Elsevier BV]
卷期号:23 (5): 1215-1225 被引量:101
标识
DOI:10.1016/s1003-6326(13)62586-8
摘要

Binary Mg–Gd (up to 5% Gd in mass fraction), Mg–Nd (up to 9% Nd in mass fraction) and ternary Mg–Gd-Y (up to 5% Gd, 1% Y) alloys with precisely determined contents of cathodic impurities (Fe, Ni, Cu, Co) were studied. The alloys were studied in the as-cast state (cooling rate of 500 K/min) and after solution heat treatment (T4). Structures were investigated by optical and scanning electron microscopy, energy dispersive spectrometry, X-ray diffraction and glow discharge spectrometry. Structural investigation was completed by Vickers hardness measurements. Corrosion behavior in the simulated physiological solution (9 g/L NaCl) was assessed by immersion tests and potentiodynamic measurements. It was found that the structures of the as-cast alloys were dominated by fine α-Mg dendrites and eutectic Mg–RE phases. The dendrites exhibited RE-concentration gradients which were most pronounced in the Mg–Gd alloys. For this reason, the T4 heat treatment of the Mg–Gd alloy led to the formation of a new cuboidal Mg5Gd phase. The corrosion resistance was significantly improved by Gd. The effect of Nd was weak and the addition of Y to Mg–Gd alloys had harmful effect on the corrosion resistance. The T4 heat treatment strongly accelerated the corrosion of Mg–Gd alloys. Its effect on the corrosion of Mg–Nd alloys was not significant. The observed corrosion behavior of the alloys was discussed in relation to their structural states and contents of cathodic impurities.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
怕黑白亦完成签到,获得积分10
1秒前
1秒前
vivianxy完成签到,获得积分10
2秒前
赘婿应助zoey采纳,获得10
2秒前
FashionBoy应助charint采纳,获得10
3秒前
3秒前
忧虑的若雁完成签到,获得积分10
4秒前
江枫渔发布了新的文献求助10
5秒前
完美世界应助smile采纳,获得10
6秒前
科研通AI6.4应助queer采纳,获得10
6秒前
7秒前
热情的乐荷完成签到,获得积分10
7秒前
8秒前
丘比特应助YCY15880432100采纳,获得10
8秒前
taeyy13发布了新的文献求助10
9秒前
烟花应助chen采纳,获得10
9秒前
10秒前
fighting发布了新的文献求助10
11秒前
泉竹晓筱完成签到,获得积分10
11秒前
12秒前
求求了发布了新的文献求助10
12秒前
mimi完成签到,获得积分10
12秒前
12秒前
13秒前
科研通AI6.3应助Hiogteng采纳,获得10
13秒前
星辰大海应助李彦采纳,获得10
14秒前
寒冷冰蝶发布了新的文献求助10
14秒前
木木应助Rena采纳,获得10
15秒前
15秒前
Yuki完成签到 ,获得积分10
15秒前
16秒前
18秒前
GFFino发布了新的文献求助10
18秒前
共享精神应助fighting采纳,获得10
18秒前
所所应助Winny采纳,获得10
20秒前
22秒前
charint发布了新的文献求助10
22秒前
雪酪芋泥球完成签到 ,获得积分10
24秒前
邹米文发布了新的文献求助10
26秒前
JamesPei应助元力采纳,获得10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356771
求助须知:如何正确求助?哪些是违规求助? 8171470
关于积分的说明 17204729
捐赠科研通 5412588
什么是DOI,文献DOI怎么找? 2864711
邀请新用户注册赠送积分活动 1842216
关于科研通互助平台的介绍 1690424