Bridging the gap in multiphase flow simulations

缩小多相流模拟的差距

基本信息

批准号：
2028617
负责人：
Mohamed Kasbaoui
金额：
$ 30万
依托单位：
Arizona State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2028617&HistoricalAwards=false
关键词：
Bridging gap multiphase flow simulations

项目摘要

Understanding and predicting the dynamics of multiphase flows is important as these flows are found in everyday life and in many engineering applications. In nature, flows that involve two phases or more include clouds, dust storms and sediment transport in rivers. Fuel sprays, pharmaceutical sprays to treat pulmonary infections and diseases, pneumatic transport, powder processing and bubble column reactors are among the many applications relying on multiphase flows. Unlike single-phase flows which have established methods, simulations of two-phase flows are far more challenging due to the added complexity and cost required to deal with discontinuities, mass and momentum exchange at the interface separating the two phases. Despite decades of growing computational power, deployment of state-of-the art multiphase flow solvers remains exclusive to well curated and simplified academic flows, while many applications remain out of reach. The goal of this project is to develop numerical strategies that retains high-fidelity yet reduces the computational cost using computationally efficient methods. This research will benefit a wide range of industries where multiphase flow simulations are routinely conducted to inform the design of engineering systems. The reduced computational cost will enable simulations of real-life flows in regimes previously inaccessible. The project also aims at inspiring young kids to pursue careers related to fluid mechanics through an experiential learning module delivered during an outreach event in a digitally-enhanced performance arts stage at Arizona State University. Graduate and undergraduate students will receive stronger professional preparation and training through involvement in research.A novel computational approach will be investigated, which enables a consistent and continuous transition from fully resolved to fully modeled interfacial dynamics within the same simulation. The method builds on the volume-filtering theory as its mathematical support. The approach is similar in spirit to the Large Eddy Simulation method where interface scales larger than the filter width are fully resolved, and scales smaller than the filter width are fully modeled. Three variants of the method will be implemented and characterized, Volume-Filtered Immersed Boundary, Volume-Filtered Volume of Fluid and Volume-Filtered Eulerian-Lagrangian. The investigation will reveal the precise conditions allowing consistent and conservative transition from resolved to modeled interface using the Eulerian-Lagrangian approach where the characteristic interface length scale drops below the filter size. The approach will be demonstrated in simulations of atomizing jets and particle-laden channel flow.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

理解和预测多相流的动态非常重要，因为在日常生活和许多工程应用中都可以找到这些流动。在自然界中，涉及两个阶段或更长时间的流量包括云层，尘埃风暴和河流中的沉积物运输。燃料喷雾剂，用于治疗肺部感染和疾病的药物喷雾剂，气动传输，粉末加工和气泡色谱柱反应器之一都是依赖多相流的众多应用之一。与已经建立方法的单相流不同，两相流的仿真由于在分隔两个阶段的界面处的不连续性，质量和动量交换所需的增加的复杂性和成本而更具挑战性。尽管数十年来的计算能力增长，但最先进的多相求解器的部署仍然是精心策划和简化的学术流程，而许多应用程序仍然无法实现。该项目的目的是制定保留高保真性但使用计算有效方法降低计算成本的数值策略。这项研究将受益于广泛的行业，在这些行业中，经常进行多相流模拟以告知工程系统的设计。降低的计算成本将在以前无法访问的政权中模拟现实生活中的模拟。该项目还旨在通过在亚利桑那州立大学（Arizona State University）的数字增强表演艺术舞台上进行的外展活动中提供的体验学习模块来启发小孩从事与流体机械师有关的职业。研究生和本科生将通过参与研究进行更强大的专业准备和培训。将研究一种新颖的计算方法，这可以在同一模拟中从完全分辨率到完全建模的界面动力学进行一致，连续的过渡。该方法基于滤波理论作为其数学支持。该方法在精神上与大型涡流模拟方法相似，该方法的界面尺度大于滤波器的宽度完全分辨，并且比过滤器宽度小的尺度完全建模。该方法的三种变体将被实施并表征，体积过滤的浸入边界，体积过滤的流体和体积过滤的欧拉 - 拉格朗日。该研究将揭示精确的条件，从而允许使用Eulerian-Lagrangian方法从分析到建模的界面进行一致和保守的过渡，其中特征界面长度尺度降低到过滤器大小以下。该方法将在雾化喷气机和载有颗粒的通道流的模拟中证明。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响标准，被认为值得通过评估来获得支持。