Influence of Y2O3 addition on the microstructure of TiC reinforced Ti-based composite coating prepared by laser cladding

材料科学 微观结构 涂层 成核 复合数 包层(金属加工) 复合材料 晶界 钛合金 合金 冶金 有机化学 化学
作者
Zhiqiang Zhang,Qian Yang,Ziming Yu,Hao Wang,Tiangang Zhang
出处
期刊:Materials Characterization [Elsevier]
卷期号:189: 111962-111962 被引量:104
标识
DOI:10.1016/j.matchar.2022.111962
摘要

TiC reinforced Ti-based composite coatings were prepared on the Ti6Al4V surface via laser cladding with Ti6Al4V/NiCr-Cr3C2/Y2O3 mixed powders. Influence of Y2O3 on forming quality and microstructure of composite coatings was investigated systematically. The cracks were eliminated completely and the number of pores was drastically minimised when 2 wt% Y2O3 was added. In addition, the reinforcement TiC and the matrix sloid solution β-Ti were the main precipitated phases within the coating. The addition of Y2O3 inhibited the generation of Ti2Ni at the grain boundary, however, promoted the generation of Cr1.93Ti1.07 in the coating. With the addition of Y2O3, the dendrites became largely developed and a large number of tertiary dendrites were found. Besides, a more obvious regional segregation appeared in the distribution of Ni and Cr elements in the coating with 2 wt% Y2O3. Furthermore, some nano-sized β-Ti were distributed on the surface of small TiC particles in both coatings. Combined with the theoretical analysis of the two-dimensional mismatch degree, the β-Ti and TiC interface exhibited a semi-coherent relationship. Therefore, β-Ti can nucleate with TiC as the heterogeneous nucleation matrix. In the meanwhile, there was a certain dependent growth relationship between the β-Ti and TiC.

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
寒冷悲发布了新的文献求助10
刚刚
细腻海蓝发布了新的文献求助10
1秒前
一坨发布了新的文献求助10
1秒前
2秒前
科研通AI6.3应助烂漫笑晴采纳,获得10
2秒前
玖月发布了新的文献求助10
3秒前
岁峰柒发布了新的文献求助10
4秒前
4秒前
4秒前
5秒前
SciGPT应助LEEGAN采纳,获得10
5秒前
6秒前
小二郎应助boyue采纳,获得10
6秒前
7秒前
7秒前
嘎嘎完成签到,获得积分10
8秒前
8秒前
8秒前
寒天帝发布了新的文献求助10
8秒前
123发布了新的文献求助10
9秒前
9秒前
儒雅新波发布了新的文献求助10
10秒前
Tutu完成签到,获得积分10
10秒前
wyby发布了新的文献求助10
10秒前
汉堡包应助茉莉雨采纳,获得10
10秒前
科研通AI6.1应助yodel采纳,获得10
10秒前
chengyue9939发布了新的文献求助20
11秒前
12秒前
燕燕于飞发布了新的文献求助30
12秒前
12秒前
14秒前
like_Y应助无忧采纳,获得10
14秒前
15秒前
细腻海蓝完成签到,获得积分10
15秒前
南孚阮桑发布了新的文献求助10
15秒前
PENGCHENGDAI完成签到,获得积分10
15秒前
Anan发布了新的文献求助10
16秒前
领导范儿应助燕燕于飞采纳,获得10
16秒前
16秒前
科研通AI2S应助Heyley采纳,获得10
16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
What is the Future of Psychotherapy in a Digital Age? 700
The Psychological Quest for Meaning 600
Zeolites: From Fundamentals to Emerging Applications 600
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 5955015
求助须知:如何正确求助?哪些是违规求助? 7164861
关于积分的说明 15936949
捐赠科研通 5089962
什么是DOI,文献DOI怎么找? 2735472
邀请新用户注册赠送积分活动 1696310
关于科研通互助平台的介绍 1617257