PREPARATION OF NANO-SIZED SiC REINFORCED NiTi SHAPE MEMORY COMPOSITES AND THEIR MECHANICAL PROPERTIES AND DAMPING BEHAVIOR

材料科学 钛镍合金 形状记忆合金 假弹性 复合材料 阻尼能力 抗压强度 多孔性 模数 马氏体 无扩散变换 弹性模量 合金 微观结构
作者
Hongjie Jiang,KE Chang-Bei,Cao Pan-Pan,Ma Xiao,Zhang Xin-Beng
出处
期刊:Acta Metallurgica Sinica 卷期号:47 (9): 1105-1111 被引量:6
标识
DOI:10.3724/sp.j.1037.2011.00281
摘要

NiTi shape memory alloys have attracted significant attention for applications in various fields in the past decades. Although porous NiTi alloys exhibit lower density compared with the dense ones, they are inevitably lower in strength, storage modulus and damping capacity. Therefore, it is imperative to study and improve the compressive performance and storage modulus in porous NiTi alloys. In this study, the nano-sized SiC particle reinforced NiTi shape memory alloy based composites (SiC/NiTi) have been successfully fabricated by means of a step powder-sintering method, which show unique characteristics of lightweight, high strength and stable superelasticity. The fabricated SiC/NiTi composites possess almost the same equivalent strength compared with dense NiTi alloys. On the other hand, they are in the nature of higher strength, including compressive strength and equivalent compressive strength, than porous NiTi alloys. Furthermore, the strength increases with increasing contents of SiC particles. It has been indicated that the addition of SiC particles has a slight influence on the phase composition of the SiC/NiTi composites, while the martensitic phase transformation temperatures of the composites keep unchanged compared with the NiTi alloy without SiC reinforcement. Meanwhile, the fabricated composites inherit the high damping performance of the NiTi matrix, and thus exhibit a high storage modulus.
最长约 10秒,即可获得该文献文件

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
拼搏宝莹发布了新的文献求助10
1秒前
赵坤煊发布了新的文献求助10
1秒前
无极微光应助jananie采纳,获得20
2秒前
烟花应助悦耳白山采纳,获得10
2秒前
JAU完成签到,获得积分20
3秒前
liuchang完成签到 ,获得积分10
3秒前
FashionBoy应助落后醉易采纳,获得10
4秒前
任性的画板完成签到 ,获得积分10
5秒前
5秒前
YY应助banick采纳,获得10
6秒前
温暖的青雪完成签到 ,获得积分10
6秒前
充电宝应助Yc采纳,获得50
7秒前
脑洞疼应助TANG采纳,获得10
7秒前
YIDAN发布了新的文献求助20
7秒前
8秒前
James完成签到,获得积分10
8秒前
3152发布了新的文献求助10
9秒前
10秒前
yiyi完成签到,获得积分10
11秒前
徐1发布了新的文献求助10
11秒前
Rikka完成签到,获得积分10
12秒前
12秒前
跳跃乐安应助称心的慕凝采纳,获得10
12秒前
初景应助Annaya采纳,获得20
13秒前
呵呵发布了新的文献求助10
15秒前
大迷糊发布了新的文献求助10
15秒前
烟花应助天边外采纳,获得30
16秒前
天天不吃蒜应助liu采纳,获得10
19秒前
aaaaaa完成签到,获得积分10
19秒前
宋吉玲发布了新的文献求助10
20秒前
蓝蜗牛完成签到,获得积分10
21秒前
21秒前
丘比特应助山顶洞人采纳,获得30
22秒前
科研通AI6.1应助浅忆采纳,获得10
22秒前
Owen应助wallonce采纳,获得20
22秒前
熊猫小肿完成签到,获得积分10
22秒前
kk发布了新的文献求助10
24秒前
y杨扬完成签到,获得积分10
24秒前
Aixx完成签到 ,获得积分10
24秒前
一只小鲨鱼完成签到,获得积分10
24秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
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 6476120
求助须知:如何正确求助?哪些是违规求助? 8278634
关于积分的说明 17654418
捐赠科研通 5557482
什么是DOI,文献DOI怎么找? 2910501
邀请新用户注册赠送积分活动 1887369
关于科研通互助平台的介绍 1740396