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Predictive Analysis of Complex Interfacial Flows (PACIF)

Predictive Analysis of Complex Interfacial Flows (PACIF)
复杂界面流动的预测分析 (PACIF)
批准号:
EP/E046029/1
负责人:
Omar Matar
金额:
$125.74万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --

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中文摘要
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英文摘要
Interfacial flows are encountered in a wide variety of natural phenomena and technological applications: from underwater, river and lava flows to biological settings such as tear films in the eye to conventional engineering applications such as condensers, heat exchangers and distillation units and more recent developments in the area of microreactors/MEMS and nanotechnology. The length scales involved range from the nanometer level as for dewetting of thin films, to the centimetre scale for heat and mass transfer applications, to the meter scale for geological flows. These processes and devices often depend critically on the behaviour of liquid films, especially in the presence of moving contact lines. The proposed research is a synergistic approach combining state-of-the-art theory, modelling, simulations and experimentation and involves a highly multi-disciplinary effort with a team that includes chemical/mechanical engineers, chemists, physicists and applied mathematicians. The proposed research calling upon the complementary expertise of this team aims to examine a number of open problems and research directions in the area of complex interfacial flows. For instance, a crucial problem in current predictive models for flows with moving contact lines is that artificial measures are required to alleviate the contact-line singularity. As a consequence, the necessary local mesh refinement to fully resolve the flow near contact lines render current models either unrealistic or excessively inefficient. The proposed research is therefore of paramount scientific and practical significance. It is a high-risk effort to provide the foundations and methodologies necessary for a detailed understanding of complex interfacial flows with moving contact lines and the development of tools for the accurate and efficient prediction of their dynamics that can be used in future research. The ultimate aim is the use of these tools for optimisation of processes and devices that exploit such flows.
期刊论文(9)
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DOI: 10.1017/s0022112009006533
发表时间: 2009-06-25
期刊: JOURNAL OF FLUID MECHANICS
影响因子: 3.7
作者: [Craster, R. V., Matar, O. K., Papageorgiou, D. T.]
通讯作者: Papageorgiou, D. T.
DOI: 10.1017/s0022112010001254
发表时间: 2010-05
期刊: Journal of Fluid Mechanics
影响因子: 3.7
作者: [D. Conroy;R. Craster;O. Matar;D. Papageorgiou]
通讯作者: D. Conroy;R. Craster;O. Matar;D. Papageorgiou
DOI: 10.1098/rspa.2008.0065
发表时间: 2008-10
期刊: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
影响因子: --
作者: [Samuel D.M. Adams;R. Craster;S. Guenneau]
通讯作者: Samuel D.M. Adams;R. Craster;S. Guenneau
DOI: 10.1017/s0022112009992217
发表时间: 2008-11
期刊: Journal of Fluid Mechanics
影响因子: 3.7
作者: [H. Ding;Mohammad N. H. Gilani;P. Spelt]
通讯作者: H. Ding;Mohammad N. H. Gilani;P. Spelt
Spray cooling high power dissipation Applications (SANGRIA): From fundamentals to Design
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    EP/X015351/1
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    Research Grant
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    $64.79万
  • 财政年份:
    2024
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PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems (PREMIERE)
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  • 资助金额:
    $95.42万
  • 财政年份:
    2018
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
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    2024
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    41601604
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  • 资助金额:
    22.0万元
  • 批准年份:
    2016
  • 负责人:
    赵爱琴
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  • 批准号:
    31100958
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  • 批准年份:
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  • 依托单位: