Dynamic Viscosity-Temperature Characteristics and Models of VariousLubricating Oils

粘度指数 粘度 液体粘度的温度依赖性 材料科学 固有粘度 热力学 润滑油 还原粘度 流变学 大气温度范围 相对粘度 复合材料 特性粘度 基础油 聚合物 物理 扫描电子显微镜
作者
Yanshuang Wang,Xudong Gao,Yuhai Shen,Jianghai Lin
出处
期刊:Recent Patents on Engineering [Bentham Science]
卷期号:17 (6) 被引量:3
标识
DOI:10.2174/1872212117666221006122325
摘要

Background: The dynamic viscosity - temperature characteristics of lubricants are the main factors used to determine the oil film thickness and carrying capacity. There are few studies on the factors affecting the dynamic viscosity-temperature characteristics of lubricating oils and the dynamic viscosity-temperature model. Objective: This research aims to analyse the influences of lubricating oil type and initial kinematic viscosity on dynamic viscosity - temperature characteristics and present a new dynamic viscosity - temperature model. Methods: The characteristic curves of dynamic viscosity versus temperature of polyol ester oil, paraffinic mineral oil, and five types of PAO (poly a-olefin) oils with different initial viscosities were obtained by using a kinematic viscosity test device and a density test device. The influences of lubricating oil type and lubricating oil viscosity on dynamic viscosity - temperature characteristics were analysed. Based on our patent technology and repeated verification, a new dynamic viscosity - temperature model was presented. Results: Viscosity - temperature curves of three different types of lubricating oils and viscosity - temperature curves of PAO oils with different initial kinematic viscosities were obtained. A new dynamic viscosity - temperature model η=A×e^(((-T)/n) )⁡+ η_0 was proposed. Conclusion: The dynamic viscosity - temperature characteristics of lubricating oils are not only determined by the type of oils but also determined by the initial kinematic viscosity.The variation of dynamic viscosity of lubricating oils with temperature in the scope of -40~110℃ can be described by the following viscosity temperature model : , which can be used in wider temperature range than the existing models.
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
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
齐桉发布了新的文献求助30
1秒前
1秒前
科研通AI6应助鸽子采纳,获得10
1秒前
温瑞明完成签到,获得积分20
1秒前
123发布了新的文献求助10
2秒前
关外李少发布了新的文献求助10
3秒前
冷酷芝发布了新的文献求助10
4秒前
量子星尘发布了新的文献求助10
4秒前
mamingliang发布了新的文献求助10
4秒前
zz发布了新的文献求助10
5秒前
DQQ发布了新的文献求助10
5秒前
5秒前
典雅的荣轩完成签到,获得积分10
6秒前
科研通AI6应助齐嫒琳采纳,获得10
6秒前
绿大暗发布了新的文献求助10
6秒前
钮祜禄萱发布了新的文献求助10
7秒前
Witness发布了新的文献求助10
7秒前
NexusExplorer应助张瑜采纳,获得10
8秒前
冰阔罗发布了新的文献求助20
8秒前
鲤鱼笑南完成签到,获得积分10
8秒前
9秒前
情怀应助xiuwenli采纳,获得10
10秒前
jyq发布了新的文献求助10
11秒前
隐形曼青应助科研通管家采纳,获得10
11秒前
星辰大海应助科研通管家采纳,获得40
11秒前
思源应助科研通管家采纳,获得10
12秒前
东方元语应助科研通管家采纳,获得20
12秒前
大模型应助123采纳,获得10
12秒前
科研通AI6应助科研通管家采纳,获得10
12秒前
浮游应助科研通管家采纳,获得10
12秒前
科研通AI6应助科研通管家采纳,获得10
12秒前
JamesPei应助科研通管家采纳,获得10
12秒前
香蕉觅云应助科研通管家采纳,获得10
12秒前
科研通AI2S应助科研通管家采纳,获得10
13秒前
情怀应助科研通管家采纳,获得10
13秒前
SciGPT应助科研通管家采纳,获得10
13秒前
Return应助科研通管家采纳,获得10
13秒前
科研通AI6应助科研通管家采纳,获得10
13秒前
13秒前
脑洞疼应助科研通管家采纳,获得10
13秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 12000
(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 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5695701
求助须知:如何正确求助?哪些是违规求助? 5103006
关于积分的说明 15216977
捐赠科研通 4851880
什么是DOI,文献DOI怎么找? 2602826
邀请新用户注册赠送积分活动 1554496
关于科研通互助平台的介绍 1512497