Intrinsic Instabilities at Impure Interfaces
不纯界面的内在不稳定性
基本信息
- 批准号:EP/V005073/1
- 负责人:
- 金额:$ 48.92万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Fellowship
- 财政年份:2021
- 资助国家:英国
- 起止时间:2021 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The complex and multi-scale nature of thin-films poses significant modelling challenges for many systems which occur in nature or industrial contexts ranging from foams, to engine lubricants in electric vehicles, from biomembranes to non-alcoholic beverages, from contact lenses to industrial coatings. The applications of the thin liquid films where the interface is contaminated either accidentally or on purpose, are endless. This naturally leads to considerable research and economic opportunities associated with the ability to understand and control the effect of additives and contaminants on the thin-film interface. The main difficulty here, after many years of intense research, remains with the fact that the role of a contaminant on the interface is generally not well understood. We are starting to understand the effect of surfactants, which is a subset of contaminants with surface-active agents, such as washing up liquid and detergents, but a generalised theory of contaminants remains elusive. This is due to not only the limited models of surface-altering agents upto dilute concentrations, which is not always the case in nature, but also the lack of an unifying framework upon which to study contaminants that are not surfactants. This project will provide such an unifying mathematical framework to study a generalised contaminant on a thin liquid film. By describing the inputs of the generalised contaminant into the system as contributing to an effective gradient in the surface tension, induced by whichever special property the contaminant possesses, our approach introduces new mechanisms into the continuum dynamics and allows comparisons to be made with experimental studies which often combines multiple effects of the contaminant. Disentangling the various nonlinear effects in the contaminant is a difficult problem which cannot be overlooked. The mathematical framework is a vital first step towards a complete categorisation of all the component in the multiphysics soup of a generalised contaminant solution. This categorisation not only allows us to tackle vastly more complex contaminants than previous possible, but also enables us to engineer thin liquid interfaces to an exacting specification or stability for a particular application, such as a non-alcoholic beer with the same foaming characteristics as an alcoholic version or a non-foaming engine lubricant for high-efficiency electric vehicles, both of which are examples of thin liquid interfaces which would benefit from a complete understanding of the role contaminants play on the surface.
薄膜的复杂性和多尺度性质对自然界或工业环境中的许多系统提出了重大的建模挑战,从泡沫到电动汽车中的发动机润滑剂,从生物膜到非酒精饮料,从隐形眼镜到工业涂层。在界面被意外或故意污染的情况下,薄液膜的应用是无止境的。这自然会导致相当多的研究和经济机会与理解和控制添加剂和污染物对薄膜界面的影响的能力。经过多年的深入研究,这里的主要困难仍然是污染物在界面上的作用通常没有得到很好的理解。我们开始了解表面活性剂的影响,表面活性剂是表面活性剂污染物的一个子集,如洗涤液和洗涤剂,但污染物的一般理论仍然难以捉摸。这是由于不仅有限的模型的表面改变剂稀释浓度,这是不总是在自然界中的情况下,但也缺乏一个统一的框架,研究污染物,不是表面活性剂。该项目将提供这样一个统一的数学框架来研究薄液膜上的一般污染物。通过描述的输入的广义污染物到系统中的表面张力的有效梯度,诱导的任何特殊属性的污染物拥有,我们的方法引入了新的机制到连续动力学,并允许比较与实验研究,往往结合多种影响的污染物。解开污染物中的各种非线性效应是一个不容忽视的难题。数学框架是对广义污染物解决方案的多物理场汤中的所有组分进行完整分类的重要第一步。这种分类不仅使我们能够处理比以前更复杂的污染物,而且还使我们能够为特定应用设计符合严格规范或稳定性的薄液体界面,例如具有与酒精版本相同发泡特性的无酒精啤酒或用于高效电动汽车的无泡沫发动机润滑剂,两者都是薄液体界面的例子,其将受益于对污染物在表面上所起作用的完全理解。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The Intrinsic Fragility of the Liquid-Vapor Interface: A Stress Network Perspective.
- DOI:10.1021/acs.langmuir.2c00201
- 发表时间:2022-04-19
- 期刊:
- 影响因子:3.9
- 作者:Rahman, Muhammad Rizwanur;Shen, Li;Ewen, James P.;Dini, Daniele;Smith, E. R.
- 通讯作者:Smith, E. R.
The stability of magnetic soap films
磁性皂膜的稳定性
- DOI:10.1063/5.0146164
- 发表时间:2023
- 期刊:
- 影响因子:4.6
- 作者:Lalli N
- 通讯作者:Lalli N
The Intrinsic Fragility of the Liquid-Vapor Interface: A Stress Network Perspective
液-汽界面的内在脆弱性:应力网络视角
- DOI:10.48550/arxiv.2201.09944
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Rahman M
- 通讯作者:Rahman M
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Li Shen其他文献
Diastereo- and enantioselective preparation of oxazolines via the base-catalysed aldol reaction of isocyanoacetates with aldehydes using cinchona alkaloids
使用金鸡纳生物碱通过异氰乙酸酯与醛的碱催化羟醛反应制备恶唑啉的非对映和对映选择性
- DOI:
10.3184/174751916x14683198156665 - 发表时间:
2016-09 - 期刊:
- 影响因子:1.4
- 作者:
Diao Rui-Chuan;Zhao Wen-Tao;Li Shen - 通讯作者:
Li Shen
Contact stiffness of regularly patterned multi-asperity interfaces
规则图案多粗糙体界面的接触刚度
- DOI:
10.1016/j.jmps.2017.10.019 - 发表时间:
2018-02 - 期刊:
- 影响因子:5.3
- 作者:
Li Shen;Yao Quanzhou;Li Qunyang;Feng Xi-Qiao;Gao Huajian - 通讯作者:
Gao Huajian
Biosynthesis and characterization of 4-flurotryptophan-labeled Escherichia coli arginyl-tRNA synthetase
4-氟色氨酸标记的大肠杆菌精氨酰-tRNA 合成酶的生物合成和表征
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Qing-shuo Zhang;Li Shen;En-Duo Wang(通讯作者);Ying-lai Wang - 通讯作者:
Ying-lai Wang
Dynamic analysis and current calculation of a permanent magnet spherical motor for point-to-point motion
永磁球形电机点对点运动的动力学分析与电流计算
- DOI:
10.1049/iet-epa.2018.5149 - 发表时间:
2019 - 期刊:
- 影响因子:1.7
- 作者:
Guo Xiwen;Li Shen;Wang Qunjing;Wen Yan;Gong Nengwei - 通讯作者:
Gong Nengwei
Agallolides A-M, including two rearranged ent-atisanes featuring a bicyclo[3.2.1]octane motif, from the Chinese Excoecaria agallocha
Agallolides A-M,包括两个重排的 ent-atisane,具有双环[3.2.1]辛烷基序,来自中国 Excoecaria agallocha
- DOI:
10.1016/j.bioorg.2020.104206 - 发表时间:
2020 - 期刊:
- 影响因子:5.1
- 作者:
Zhong-Ping Jiang;Yi Yu;Li Shen - 通讯作者:
Li Shen
Li Shen的其他文献
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{{ truncateString('Li Shen', 18)}}的其他基金
BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining
BIGDATA:IA:协作研究:用于多站点协作大脑大数据挖掘的异步分布式机器学习框架
- 批准号:
1837964 - 财政年份:2019
- 资助金额:
$ 48.92万 - 项目类别:
Standard Grant
SCH: INT: Mining Drug-Drug Interaction Induced Adverse Effects from Health Record Databases
SCH:INT:从健康记录数据库中挖掘药物相互作用引起的不良反应
- 批准号:
1827472 - 财政年份:2018
- 资助金额:
$ 48.92万 - 项目类别:
Standard Grant
SCH: INT: Mining Drug-Drug Interaction Induced Adverse Effects from Health Record Databases
SCH:INT:从健康记录数据库中挖掘药物相互作用引起的不良反应
- 批准号:
1622526 - 财政年份:2016
- 资助金额:
$ 48.92万 - 项目类别:
Standard Grant
III: Small: Collaborative Research: A Large-Scale Data Mining Framework for Genome-Wide Mapping of Multi-Modal Phenotypic Biomarkers and Outcome Prediction
III:小型:协作研究:用于多模式表型生物标志物全基因组图谱和结果预测的大规模数据挖掘框架
- 批准号:
1117335 - 财政年份:2011
- 资助金额:
$ 48.92万 - 项目类别:
Standard Grant
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