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
刚刚
刚刚
刚刚
征途完成签到,获得积分10
刚刚
1秒前
1秒前
沙瑞金完成签到,获得积分10
2秒前
2秒前
3秒前
香蕉觅云应助jiojiolq采纳,获得80
5秒前
5秒前
5秒前
Orange应助唐晓秦采纳,获得10
5秒前
蛋蛋完成签到,获得积分10
6秒前
华仔应助弟弟采纳,获得10
6秒前
友好盼海发布了新的文献求助10
6秒前
7秒前
feifei发布了新的文献求助10
7秒前
7秒前
wefun完成签到,获得积分10
7秒前
7秒前
桐桐应助bnjay采纳,获得10
8秒前
阿刁发布了新的文献求助10
8秒前
泥蝶完成签到 ,获得积分10
8秒前
游大侠完成签到,获得积分10
9秒前
9秒前
蛋蛋发布了新的文献求助10
9秒前
9秒前
风中虔纹完成签到,获得积分10
10秒前
CodeCraft应助执着的机器猫采纳,获得10
10秒前
JiangSir完成签到,获得积分10
10秒前
10秒前
10秒前
11秒前
俏皮乐松发布了新的文献求助10
11秒前
11秒前
CipherSage应助从容夏瑶采纳,获得10
12秒前
orixero应助蔚蓝采纳,获得10
12秒前
CipherSage应助aoi采纳,获得10
13秒前
香蕉觅云应助快乐乐松采纳,获得10
13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
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
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 6421451
求助须知:如何正确求助?哪些是违规求助? 8240508
关于积分的说明 17513073
捐赠科研通 5475321
什么是DOI,文献DOI怎么找? 2892394
邀请新用户注册赠送积分活动 1868805
关于科研通互助平台的介绍 1706218