Numerical Modellling of Multiphase Flow
Numerical Modellling of Multiphase Flow
批准号:
2117473
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
EPSRC投资组合研究领域:该项目与EPSRC的各种研究领域有关,主要是能源,环境和制造业主题。软件工程和连续介质力学是相关性很高的研究领域,被认为是“成长”的领域。说明:本项目的目的是开发一个可以应用于各种多相流问题(气-液、气-液-固等)的数值框架。在能源、环境和制造业等工程和科学研究领域。虽然实际多相流模拟的需求巨大,但目前还没有建立起能够模拟各种实际多相流问题的数值框架。研究团队开发了一个非常独特且世界领先的多相流模拟数值框架(参见http://goo.gl/CYE1RA)。博士生将开始工作的基础上现有的数值框架,并有望改善/修改的数值框架和数值研究多相流现象。博士生将有机会从多相流中的湍流建模,多相流和结构之间的相互作用,相变,接触角建模,高性能计算等主题中选择数值建模的具体选择(大规模并行计算,GPU计算,机器学习;以及流体现象的研究主题,如能源:初级雾化、能源开采、冷却系统(沸腾)等,工作环境:二氧化碳捕获、雨滴形成、海洋表面的热传递、海啸/洪水灾害预测等,制造业:喷墨、涂层、喷雾冷却、机器人等。
英文摘要
EPSRC Portfolio Research area: The project is relevant to various EPSRC research areas mainly in energy, environment and manufacturing themes. Software engineering and continuum mechanics which are highly relevant research areas have been considered to be 'grow'.Description:The project aims to develop a numerical framework which can be applied to various multiphase flow problems (gas-liquid, gas-liquid-solid, etc.) in engineering and scientific research fields such as energy, environment and manufacturing. Although there are huge demands of practical multiphase flow simulations, there is no established numerical framework which can simulate a wide variety of practical multiphase flow problems.The research team has developed a highly unique and world-leading numerical framework for multiphase flow simulations (see http://goo.gl/CYE1RA). The PhD student will begin work based on the existing numerical framework, and is expected to improve/modify the numerical framework and numerically study multiphase flow phenomena. The PhD student will have the opportunity to choose specific choices in numerical modelling from topics such as Turbulence modelling in multiphase flows, Interactions between multiphase flows and structures, Phase changes, Contact angle modelling, High performance computing (massively parallel computing, GPU computing, Machine learning; and research topics in fluid phenomena such as Energy: primary atomization, energy mining, cooling system (boiling), etc., Environment: CO2 capturing, rain drop formations, heat transfer across ocean surfaces, Tsunami/flood damage predictions, etc, Manufacturing: inkjet, coating, spray cooling, robotics, etc.
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