Friction and wear properties of textured surface for bearing steel with mango-shaped micro geometries

材料科学 方位(导航) 曲面(拓扑) 冶金 复合材料 结构工程 机械工程 法律工程学 工程制图 工程类 几何学 计算机科学 数学 人工智能
作者
Qiang Xiao,Liu Yi-cong,Yue-Peng Zhou,Jiajia Wang,Sui-Xin Fan,Junhu Meng,Junde Guo
出处
期刊:Industrial Lubrication and Tribology [Emerald (MCB UP)]
标识
DOI:10.1108/ilt-02-2024-0039
摘要

Purpose Given the current friction and wear challenges faced by automobile parts and bearings, this study aims to identify a novel texture for creating anti-friction and wear-resistant surfaces. This includes detailing the preparation process with the objective of mitigating friction and wear in working conditions. Design/methodology/approach Femtosecond laser technology was used to create a mango-shaped texture on the surface of GCr15 bearing steel. The optimized processing technology of the texture surface was obtained through adjusting the laser scanning speed. The tribological behavior of the laser-textured surface was investigated using a reciprocating tribometer. Findings The friction coefficient of the mango-shaped texture surface is 25% lower than that of the conventional surface, this can be attributed to the reduced contact area between the friction ball and the micro-textured surface, leading to stress concentration at the extrusion edge and a larger stress distribution area on the contact part of the ball and disk compared to the conventional surface and the function of the micro-texture in storing wear chips during the sliding process, thereby reducing secondary wear. Originality/value The mango-shaped textured surface in this study demonstrates effective solutions for some of the friction and wear issues, offering significant benefits for equipment operation under light load conditions. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0127/

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
张小尤发布了新的文献求助10
刚刚
1秒前
酷波er应助123采纳,获得10
1秒前
1秒前
hh完成签到,获得积分10
2秒前
心海发布了新的文献求助10
2秒前
菱湾0w发布了新的文献求助10
2秒前
山260完成签到 ,获得积分10
2秒前
excellent发布了新的文献求助10
2秒前
小王同学完成签到 ,获得积分10
2秒前
2秒前
7dddd完成签到,获得积分20
2秒前
甜蜜的物语完成签到,获得积分10
3秒前
李爱国应助不烦采纳,获得10
3秒前
4秒前
花椒苦啊应助文件撤销了驳回
5秒前
5秒前
Qingzhu完成签到,获得积分10
5秒前
林天发布了新的文献求助10
5秒前
JamesPei应助机智的啤酒采纳,获得10
5秒前
6秒前
日安发布了新的文献求助10
6秒前
pisces完成签到 ,获得积分10
6秒前
云木发布了新的文献求助10
6秒前
6秒前
科研通AI2S应助称心的魔镜采纳,获得10
6秒前
6秒前
7秒前
机智迎南完成签到,获得积分20
7秒前
7秒前
daifei完成签到,获得积分10
7秒前
8秒前
8秒前
10秒前
10秒前
11秒前
11秒前
12秒前
秋qiu发布了新的文献求助10
12秒前
12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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Social Cognition: Understanding People and Events 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6030759
求助须知:如何正确求助?哪些是违规求助? 7708734
关于积分的说明 16194599
捐赠科研通 5177540
什么是DOI,文献DOI怎么找? 2770790
邀请新用户注册赠送积分活动 1754160
关于科研通互助平台的介绍 1639502