Enhancing the dynamic thermal stability of metal oxide oil-based nanofluids through synchronous chemical modification and physical coating

材料科学 纳米流体 涂层 氧化物 热稳定性 化学工程 化学稳定性 热的 金属 纳米技术 冶金 纳米颗粒 热力学 物理 工程类
作者
Kelong Diao,Qin Jiang,Moucun Yang,Jingui Lu,Yuezhao Zhu
出处
期刊:Surfaces and Interfaces [Elsevier]
卷期号:46: 104119-104119 被引量:1
标识
DOI:10.1016/j.surfin.2024.104119
摘要

The stability of oil-based nanofluid, especially dynamic thermal stability, hinders its practical application in industries. To enhance the stability of oil-based nanofluids, an excess amount of hexadecyl trimethoxysilane was employed to synchronously achieve chemical surface modification and physical coating of metal oxide nanoparticles. This process can efficiently render the nanoparticle surface lipophilic while introducing steric hindrance. The dynamic thermal stability and long-term durability of the nanofluids were confirmed through extended resting and thermal cycling experiments. Additionally, various characterization methods were employed to examine certain properties of the modified nanoparticles. The results reveal that the modified nanoparticles exhibit lipophilic characteristics, effective dispersion, and robust thermal stability. The nanofluids prepared using these modified nanoparticles remained stable for 3 months during resting periods and withstood 21 days of thermal cycling at 130 °C. This positions them as promising heat transfer mediums for mid-temperature industries. Importantly, this stabilization technique exhibits potential applicability across a wide range of hydrophilic metal oxide oil nanofluids, as suggested by mechanistic analysis. The exploration of dynamic thermal stability mechanisms is of great practical significance in promoting the large-scale application of nanofluids in industry and provides insights that could potentially resolve the longstanding challenge of nanofluid stability.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
欢喜听枫完成签到 ,获得积分10
1秒前
活性污泥里的蟑螂尸糜完成签到,获得积分10
2秒前
3秒前
6秒前
6秒前
18922406869发布了新的文献求助10
7秒前
深情安青应助杨yang采纳,获得10
9秒前
Ning00000发布了新的文献求助10
9秒前
田様应助王清水采纳,获得10
9秒前
9秒前
机灵芷文完成签到,获得积分10
10秒前
可靠邑完成签到,获得积分20
11秒前
tingting完成签到,获得积分10
11秒前
11秒前
12秒前
NexusExplorer应助鸿鹄采纳,获得10
12秒前
wpy完成签到,获得积分10
13秒前
momo发布了新的文献求助10
14秒前
爱笑的含烟应助Jaden采纳,获得10
14秒前
paparazzi221应助77采纳,获得50
15秒前
小海发布了新的文献求助10
15秒前
15秒前
科研通AI2S应助鲤鱼银耳汤采纳,获得10
15秒前
LamChem完成签到,获得积分10
17秒前
周先生完成签到,获得积分10
17秒前
研友_8QxQOZ发布了新的文献求助10
19秒前
19秒前
20秒前
23秒前
24秒前
搜集达人应助寒烟采纳,获得10
24秒前
momo完成签到,获得积分10
24秒前
lurenjia009完成签到,获得积分10
26秒前
27秒前
cc完成签到,获得积分10
29秒前
晴天完成签到 ,获得积分10
30秒前
31秒前
马紫婷完成签到 ,获得积分10
32秒前
32秒前
tingting发布了新的文献求助10
32秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3128954
求助须知:如何正确求助?哪些是违规求助? 2779683
关于积分的说明 7744576
捐赠科研通 2434926
什么是DOI,文献DOI怎么找? 1293779
科研通“疑难数据库(出版商)”最低求助积分说明 623432
版权声明 600530