Tribological Behavior of NiMoAl-Based Self-Lubricating Composites

材料科学 复合数 复合材料 相(物质) 合金 摩擦学 拉曼光谱 粉末冶金 基质(化学分析) 微观结构 化学 物理 有机化学 光学
作者
Deepak Davis,Gobinath Marappan,Yuvaraj Sivalingam,Bharat B. Panigrahi,Sheela Singh
出处
期刊:ACS omega [American Chemical Society]
卷期号:5 (24): 14669-14678 被引量:19
标识
DOI:10.1021/acsomega.0c01409
摘要

The present study focused on the development of NiMoAl-based self-lubricating composites using solid lubricants as the second phase by powder metallurgy. For this, Cr2AlC MAX phase, Cr2AlC-Ag, and MoS2 powders were mixed with the NiMoAl-based matrix and subsequently hot pressed to produce bulk composite samples. The average hardness and wear resistance of the matrix were found to be increased with the addition of MoS2, Cr2AlC MAX phase, and Cr2AlC-Ag powder to the NiMoAl matrix. The addition of Cr2AlC to NiMoAl was more effective in improving the wear resistance than MoS2. The addition of Cr2AlC and Cr2AlC-Ag has increased the hardness by about 75% than that with the addition of NiMoAl alloy. A scanning Kelvin probe system was used to study the surface properties of the tribofilm in detail through work function mapping from the edge area to the wear area (groove). Among all the samples, the one with the addition of Cr2AlC-Ag powder to the NiMoAl matrix possesses the best tribo-mechanical properties. Cr2AlC-Ag composite addition to NiMoAl was found to decrease the wear rate by one-third and to reduce the coefficient of friction by one-fourth, compared to the base NiMoAl alloy. This was attributed to the high-sintered density and formation of strong tribofilms consisting of mixed oxides such as Ag2MoO4 and Al2O3, as confirmed by micro Raman spectra.

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
2秒前
4秒前
彭于晏应助科研小风采纳,获得10
4秒前
5秒前
畅销款完成签到,获得积分10
7秒前
woshi123应助lye采纳,获得10
7秒前
Xi完成签到 ,获得积分10
7秒前
子云发布了新的文献求助10
9秒前
tao发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
汉堡包应助ZhangKeyan采纳,获得10
10秒前
77发布了新的文献求助10
10秒前
JamesPei应助123采纳,获得30
11秒前
我是老大应助Muya采纳,获得10
11秒前
备用完成签到 ,获得积分10
12秒前
FashionBoy应助Code_king采纳,获得50
12秒前
13秒前
kakao完成签到,获得积分10
13秒前
gpz完成签到,获得积分10
14秒前
Susan完成签到 ,获得积分10
14秒前
甜蜜嘉熙完成签到 ,获得积分10
15秒前
17秒前
SciGPT应助gpz采纳,获得10
17秒前
故意的颜发布了新的文献求助10
18秒前
18秒前
阔达的无剑完成签到,获得积分10
18秒前
19秒前
20秒前
蕊蕊蕊发布了新的文献求助10
21秒前
21秒前
大雪纷飞发布了新的文献求助10
22秒前
Muya发布了新的文献求助10
23秒前
li发布了新的文献求助10
23秒前
小半完成签到,获得积分10
23秒前
24秒前
24秒前
zm发布了新的文献求助10
24秒前
27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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7639208
求助须知:如何正确求助?哪些是违规求助? 9212313
关于积分的说明 19761858
捐赠科研通 7205903
什么是DOI,文献DOI怎么找? 3275978
关于科研通互助平台的介绍 2437546
邀请新用户注册赠送积分活动 2273227