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
0409hhh发布了新的文献求助10
1秒前
丘比特应助母猪上树采纳,获得10
1秒前
2秒前
licaiwsk发布了新的文献求助10
3秒前
ding应助皮皮杰采纳,获得10
4秒前
斯文败类应助实心小墩墩采纳,获得10
4秒前
wuxin发布了新的文献求助10
5秒前
sheng发布了新的文献求助10
5秒前
小蘑菇应助yuxin采纳,获得10
5秒前
6秒前
0409hhh完成签到,获得积分10
6秒前
8秒前
今后应助qiumin采纳,获得10
8秒前
cps完成签到,获得积分10
9秒前
9秒前
10秒前
11秒前
kunnao发布了新的文献求助10
11秒前
领导范儿应助祁忆采纳,获得10
12秒前
Songyuxuan完成签到,获得积分10
13秒前
ZF发布了新的文献求助10
14秒前
14秒前
潇洒的惋清应助气凝前沿采纳,获得10
15秒前
molihuakai应助自然的平蓝采纳,获得10
15秒前
17秒前
17秒前
17秒前
紧张的似狮完成签到,获得积分10
18秒前
所所应助眼睛大板凳采纳,获得10
18秒前
xaopng完成签到,获得积分10
18秒前
gzhcanadagz完成签到 ,获得积分10
19秒前
animenz完成签到,获得积分10
19秒前
Owen应助城九寒采纳,获得10
19秒前
xmm完成签到,获得积分10
19秒前
19秒前
笑眯眯发布了新的文献求助10
20秒前
乐乐应助依依采纳,获得10
20秒前
daguan发布了新的文献求助10
21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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 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 6521895
求助须知:如何正确求助?哪些是违规求助? 8315119
关于积分的说明 17788031
捐赠科研通 5624076
什么是DOI,文献DOI怎么找? 2927717
邀请新用户注册赠送积分活动 1904556
关于科研通互助平台的介绍 1764673