Particle laden flows - theory, analysis and experiment

颗粒负载流 - 理论、分析和实验

• 批准号: 1312543
• 负责人: Andrea Bertozzi
• 金额: $ 28万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1312543&HistoricalAwards=false
• 关键词: Particle; laden; flows; theory; analysis

The research project synthesizes theory, computation and experiments to create multiscale models of dense particulate flows, ranging from microstructural dynamics of nearly contacting particles to the macrorheological properties of dense suspensions. The theoretical core of the project includes both mechanistic models of nearly contacting groups of particles, and continuum modeling and analysis of the dynamics of dense suspensions. The research develops new Stokesian Dynamics algorithms to resolve the slow particle interactions in dense suspensions, and uses simulations of how particles collectively reconfigure on the micro-scale to accommodate applied external strains to construct a continuum model for suspension rheology. New theory is supported by experiments carried out in the Applied Mathematics Laboratory at UCLA to test predictive models of suspension rheology.Particle laden flows are important in many industrial applications including oil and gas extraction, coal processing, mining of minerals, and waste-water treatment. Results from this basic research project can be used to develop quantitative models for such diverse applications as spiral separators in the mining industry, cell separation in inertial microfluidic devices and aggregation of microbes. The project supports both graduate student research and undergraduate research involving experiments and theory.

研究项目综合了理论，计算和实验，以创建密集颗粒流的多尺度模型，从几乎接触颗粒的微观结构动力学到密集悬浮液的宏观学特性。该项目的理论核心既包括几乎接触粒子组的​​机械模型，又包括对密集悬浮液的动力学的连续建模和分析。该研究开发了新的Stokesian动力学算法来解决密集悬浮液中的慢粒子相互作用，并使用模拟粒子在微尺度上集体重新配置以适应施加的外部应变以构建悬浮性流变学的连续性模型。在UCLA的应用数学实验室中进行的实验支持了新理论，以测试悬浮流变性的预测模型。在许多工业应用中，丁香流量很重要，包括石油和天然气提取，煤炭加工，矿物采矿和废水处理。 该基础研究项目的结果可用于开发针对采矿行业中螺旋分离器，惯性微流体设备中的细胞分离和微生物聚集的各种应用的定量模型。该项目支持涉及实验和理论的研究生研究和本科研究。