Flexible and Tough Superelastic Co–Cr Alloys for Biomedical Applications

材料科学 假弹性 形状记忆合金 模数 合金 弹性模量 冶金 腐蚀 复合材料 微观结构 马氏体
作者
Takumi Odaira,Sheng Xu,Kenji Hirata,Xiao Xu,Toshihiro Omori,Kosuke Ueki,Kyosuke Ueda,Takayuki Narushima,Makoto Nagasako,Stefanus Harjo,Takuro Kawasaki,Lucie Bodnárová,Petr Sedlák,Hanuš Seiner,Ryosuke Kainuma
出处
期刊:Advanced Materials [Wiley]
卷期号:34 (27) 被引量:23
标识
DOI:10.1002/adma.202202305
摘要

The demand for biomaterials has been increasing along with the increase in the population of elderly people worldwide. The mechanical properties and high wear resistance of metallic biomaterials make them well-suited for use as substitutes or as support for damaged hard tissues. However, unless these biomaterials also have a low Young's modulus similar to that of human bones, bone atrophy inevitably occurs. Because a low Young's modulus is typically associated with poor wear resistance, it is difficult to realize a low Young's modulus and high wear resistance simultaneously. Also, the superelastic property of shape-memory alloys makes them suitable for biomedical applications, like vascular stents and guide wires. However, due to the low recoverable strain of conventional biocompatible shape-memory alloys, the demand for a new alloy system is high. The novel body-centered-cubic cobalt-chromium-based alloys in this work provide a solution to both of these problems. The Young's modulus of <001>-oriented single-crystal cobalt-chromium-based alloys is 10-30 GPa, which is similar to that of human bone, and they also demonstrate high wear and corrosion resistance. They also exhibit superelasticity with a huge recoverable strain up to 17.0%. For these reasons, the novel cobalt-chromium-based alloys can be promising candidates for biomedical applications.

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
1秒前
He发布了新的文献求助10
1秒前
1秒前
柚子发布了新的文献求助10
1秒前
teryc完成签到,获得积分10
2秒前
慕青应助ColdPomelo采纳,获得10
2秒前
汉堡包应助朴素的新晴采纳,获得10
3秒前
3秒前
3秒前
科研通AI6.2应助何pengda采纳,获得10
3秒前
chz发布了新的文献求助10
3秒前
热心市民小许完成签到 ,获得积分10
4秒前
4秒前
4秒前
4秒前
美丽凛发布了新的文献求助10
5秒前
xjx完成签到 ,获得积分10
6秒前
晴檬发布了新的文献求助200
6秒前
陈隆发布了新的文献求助10
6秒前
sjy完成签到,获得积分10
6秒前
6秒前
文艺帽子完成签到,获得积分10
7秒前
周学习发布了新的文献求助10
7秒前
无花果应助ncycg采纳,获得10
7秒前
7秒前
酷波er应助尽舜尧采纳,获得10
7秒前
小吕完成签到,获得积分10
7秒前
8秒前
8秒前
777发布了新的文献求助10
8秒前
紧张的谷槐完成签到,获得积分10
8秒前
Yun发布了新的文献求助10
8秒前
LEON完成签到,获得积分10
9秒前
9秒前
9秒前
科目三应助jasmine采纳,获得10
9秒前
9秒前
10秒前
beichuanheqi完成签到,获得积分10
10秒前
10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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Clinical Electromyography 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5946216
求助须知:如何正确求助?哪些是违规求助? 7103302
关于积分的说明 15902865
捐赠科研通 5078480
什么是DOI,文献DOI怎么找? 2730875
邀请新用户注册赠送积分活动 1690875
关于科研通互助平台的介绍 1614782