Lubricity and mechanical stability of bio-grease formulated from non-edible vegetable oil

润滑油 材料科学 润滑性 摩擦学 复合材料 润滑 摩擦学 蓖麻油 扫描电子显微镜 基础油 麻疯树 化学 生物化学 植物 生物
作者
Hilmi Amiruddin,Mohd Fadzli Bin Abdollah,Mohamad Nordin Mohamad Norani
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology [SAGE Publishing]
卷期号:237 (3): 589-600 被引量:3
标识
DOI:10.1177/13506501221121904
摘要

This study proposes the formulation of a novel grease material using biological resources, which displayed satisfactory mechanical and lubrication properties. This bio-grease material was formulated using non-edible vegetable oils (such as castor, neem and jatropha oils), with a beeswax thickener and hexagonal Boron Nitride (hBN) as the nano additive. Thereafter, the optimal formulation of the bio-grease material was conducted using the Taguchi-based Grey Relational Analysis technique. The lubricity and mechanical stability of the formulated bio-grease material was tested with the help of a 4-ball tribometer based on the modified sliding frictional wear test, described in the ASTM D2266 standard. The fundamental wear mechanism occurring between the contact surfaces was also determined by investigating the surface morphology using Scanning Electron Microscopy embedded with Energy Dispersive X-Ray Analysis (SEM-EDX). The results of the study indicated that base oil was the most significant factor that affected the Coefficient of Friction (COF) and the mechanical stability loss of the formulated bio-grease. Furthermore, the optimised bio-grease material contained 5 wt.% of thickener in castor oil and showed the lowest COF value of 0.04 and the highest delay in the mechanical stability loss (13,200 s). The acquired results were compared with those of the conventional grease material and observed that the SEM images of conventional grease material showed higher adhesive wear and rougher surface compared to the micrographs of the samples that were lubricated using the optimally-formulated bio-grease material.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
张成发布了新的文献求助10
刚刚
刚刚
在水一方应助王倩倩采纳,获得30
刚刚
呆萌滑板完成签到 ,获得积分10
刚刚
orixero应助锂能源采纳,获得10
1秒前
CipherSage应助11221采纳,获得10
1秒前
刘振岁完成签到,获得积分10
1秒前
reece完成签到 ,获得积分10
2秒前
12345LIN发布了新的文献求助10
2秒前
科科研研发布了新的文献求助10
2秒前
悠悠完成签到,获得积分10
2秒前
瘦瘦孤菱完成签到,获得积分10
2秒前
猪猪hero应助陈艳林采纳,获得10
2秒前
2秒前
3秒前
4秒前
开朗夏彤完成签到,获得积分10
4秒前
虚心的芹完成签到,获得积分10
4秒前
4秒前
纯真大侠应助爱笑的凡之采纳,获得10
4秒前
4秒前
4秒前
量子星尘发布了新的文献求助10
5秒前
Max完成签到,获得积分10
5秒前
嘉星糖完成签到,获得积分10
5秒前
Tricia应助王金豪采纳,获得10
5秒前
xly发布了新的文献求助10
5秒前
6秒前
悠悠发布了新的文献求助10
6秒前
6秒前
星辰大海应助薛强采纳,获得10
7秒前
Max发布了新的文献求助10
7秒前
方妙竹发布了新的文献求助10
8秒前
科科研研完成签到,获得积分10
8秒前
踏实的松思完成签到,获得积分10
8秒前
橙子是不是完成签到,获得积分10
8秒前
苏先生发布了新的文献求助10
8秒前
云影cns完成签到 ,获得积分10
9秒前
听风完成签到 ,获得积分10
9秒前
nannan发布了新的文献求助10
9秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
A new approach to the extrapolation of accelerated life test data 500
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3953650
求助须知:如何正确求助?哪些是违规求助? 3499409
关于积分的说明 11095552
捐赠科研通 3229987
什么是DOI,文献DOI怎么找? 1785841
邀请新用户注册赠送积分活动 869592
科研通“疑难数据库(出版商)”最低求助积分说明 801479