亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Improved tribological performance of AISI 316L stainless steel by a combined surface treatment: Surface texturing by selective laser melting and plasma nitriding

材料科学 渗氮 摩擦学 压痕硬度 冶金 轮廓仪 等离子体 选择性激光熔化 复合材料 表面光洁度 图层(电子) 微观结构 量子力学 物理
作者
H. Kovacı,Yeşim Secer
出处
期刊:Surface & Coatings Technology [Elsevier BV]
卷期号:400: 126178-126178 被引量:39
标识
DOI:10.1016/j.surfcoat.2020.126178
摘要

Surface texturing, which depends on the formation of different patterns on materials, is used to improve the tribological performance of materials. Therefore, the effects of different surface textures fabricated by selective laser melting (SLM) and plasma nitriding on the friction and wear properties of AISI 316L stainless steel were investigated in this study. AISI 316L samples with hexagonal, random, ellipse, triangle, square and the new model (ellipse+triangle) surface textures (patterns) were produced by SLM and they were plasma nitrided at 400 °C for 2 h. Tribological behavior of them was determined by a pin-on-disc type tribo-tester under dry and simulated body fluid (SBF) conditions. XRD, SEM, microhardness tester and 3D surface profilometer were used for characterizations. The results showed that the surface textures and their area density were highly effective on the friction and wear properties and the increasing area density provided better wear resistance. Ellipse geometric pattern had the lowest friction coefficient and wear rate because it trapped wear debris and provided a smooth stress transition in comparison to the sharp-edged textures by enabling hydrodynamic benefit. Plasma nitriding led to decrease friction coefficient and wear rate for all surface textures since it produced a hard compound layer. Also, the best results were obtained from SBF because solid-solid contact was prevented and wear debris was removed by solution.

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
MinQi完成签到,获得积分10
1秒前
5秒前
Simon发布了新的文献求助10
24秒前
WEileen完成签到 ,获得积分0
44秒前
56秒前
香蕉觅云应助科研通管家采纳,获得10
1分钟前
汉堡包应助多多采纳,获得10
1分钟前
whl发布了新的文献求助10
1分钟前
1分钟前
孙元发布了新的文献求助10
1分钟前
1分钟前
1分钟前
wangdong发布了新的文献求助10
1分钟前
choge发布了新的文献求助30
1分钟前
2分钟前
多多发布了新的文献求助10
2分钟前
wangdong发布了新的文献求助10
2分钟前
2分钟前
bubu发布了新的文献求助10
2分钟前
2分钟前
2分钟前
斯文败类应助Simon采纳,获得10
3分钟前
共享精神应助科研通管家采纳,获得10
3分钟前
乐乐应助科研通管家采纳,获得10
3分钟前
3分钟前
whl完成签到,获得积分10
3分钟前
3分钟前
chentao发布了新的文献求助10
3分钟前
SciGPT应助bubu采纳,获得10
3分钟前
3分钟前
充电宝应助halide采纳,获得10
3分钟前
TINA完成签到,获得积分10
3分钟前
Simon发布了新的文献求助10
3分钟前
爆米花应助TINA采纳,获得10
3分钟前
3分钟前
3分钟前
TINA发布了新的文献求助10
3分钟前
3分钟前
3分钟前
halide发布了新的文献求助10
3分钟前
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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics 500
A Social and Cultural History of the Hellenistic World 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 6394515
求助须知:如何正确求助?哪些是违规求助? 8209642
关于积分的说明 17382197
捐赠科研通 5447728
什么是DOI,文献DOI怎么找? 2880019
邀请新用户注册赠送积分活动 1856472
关于科研通互助平台的介绍 1699123