SGER: Accumulation of Particulates in Complex Flows: Characterization by NMR Imaging

SGER：复杂流中颗粒物的积累：通过 NMR 成像进行表征

• 批准号: 0425187
• 负责人: Nina Shapley
• 金额: $ 5万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-05-01 至 2005-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0425187&HistoricalAwards=false
• 关键词: SGER; Accumulation; Particulates; Complex; Flows

AbstractCTS-0425187N. Shapley, Columbia University Accumulation of Particulates in Complex Flows: Characterization by NMR Imaging The mission of this research is to probe the behavior of dispersed particulates (particles or droplets) in complex flows that are relevant to industrial and biological systems. Flows of concentrated dispersions (liquids containing many discrete particles or droplets) are found in many processes in the pharmaceutical, food, oil, and plastics industries, but their behavior is difficult to control, generally due to nonuniform distributions of the continually interacting particles or droplets. The intellectual merit of this research derives from the goal of quantifying the distribution of particulates in complex flow geometries and time-dependent flows. In complex flows (where both shearing and elongation are present), existing continuum models of concentrated suspensions often do not predict observed particle distributions, numerical simulations in complex geometries are too overburdened by intensive computations to be practical, and experimental data are sparse. Our aim then is to acquire incisive sets of measurements of concentrated suspensions and emulsions in simplified model systems that capture key elements of real circulatory, bioreactor, or manufacturing processes. We will apply noninvasive nuclear magnetic resonance imaging (NMRI) along with optical methods to quantify concentration and velocity distributions in these systems and relate observations to particulate properties. The enormous capability of NMRI to be employed in opaque systems and both in vitro and in vivo opens up an entire new dimension of systems that are not accessible to optical techniques. The targeted element of complex flows that this study will address is particulate accumulation in disturbed flows. We aim to identify the most important system parameters determining particulate accumulation and to quantify particulate concentration and velocity profiles as benchmarks for testing continuum model predictions. The study is anticipated to reveal new insights into the behavior of dispersion dynamics. The broader impact of this research program has two main directions. First, there are the applications in which our fundamental research results can be implemented as practical guidelines in the long term, ranging from hydrodynamic targeting of drug delivery microspheres to plastics and pharmaceuticals processing. In addition, there is the educational value of the intensive research training that the graduate and undergraduates dents in our laboratory will experience.

摘要CTS-0425187 N。Shapley，哥伦比亚大学复杂流中颗粒物的积累：NMR成像表征这项研究的使命是探测与工业和生物系统相关的复杂流中分散颗粒（颗粒或液滴）的行为。在制药、食品、石油和塑料工业的许多过程中发现了浓缩分散体（含有许多离散颗粒或液滴的液体）的流动，但是它们的行为难以控制，通常是由于连续相互作用的颗粒或液滴的不均匀分布。这项研究的智力价值来自于量化复杂流动几何形状和随时间变化的流动中的颗粒分布的目标。 在复杂的流动（剪切和伸长都存在），现有的连续介质模型的浓缩悬浮液往往不能预测观察到的颗粒分布，在复杂的几何形状的数值模拟是过于繁重的计算是实用的，实验数据稀疏。 然后，我们的目标是在简化的模型系统中获得浓缩悬浮液和乳液的精确测量集，这些模型系统捕获真实的循环、生物反应器或制造过程的关键要素。 我们将应用非侵入性核磁共振成像（NMRI）沿着光学方法来量化这些系统中的浓度和速度分布，并将观测结果与颗粒特性相关联。NMRI在不透明系统中以及在体外和体内使用的巨大能力开辟了光学技术无法访问的系统的全新维度。 复杂流动的目标元素，这项研究将解决的是颗粒在扰动流中的积累。我们的目标是确定最重要的系统参数，确定颗粒物的积累和量化颗粒物的浓度和速度分布作为基准测试连续模型的预测。该研究有望揭示分散动力学行为的新见解。 这项研究计划的更广泛影响有两个主要方向。首先，我们的基础研究成果可以作为长期的实用指南应用，从药物递送微球的流体动力学靶向到塑料和药物加工。此外，我们实验室的研究生和本科生将经历密集的研究培训，这具有教育价值。