Surface Effects on Fluid Flows in 3D Printed Micro-channels: Computational Simulations with Empirical Validation

3D 打印微通道中流体流动的表面效应：具有经验验证的计算模拟

• 批准号: 1935814
• 负责人: Siddhartha Das
• 金额: $ 10万
• 依托单位: University of Maryland, College Park
• 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: 2020-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1935814&HistoricalAwards=false
• 关键词: Surface; Effects; Fluid; Flows; 3D

Investigating the flow of blood and blood-driven transport of cells and particles in microchannels of different shapes and degrees of roughness is critical for fabricating and characterizing a host of medical devices meant for separating blood components. The objective of this proposal is to employ a combined computational-experimental framework for studying the fluid dynamics of blood and blood flow driven transport.Additive manufacturing techniques will be employed to fabricate straight and spiral microchannels with varying degree of roughness. The microchannel cross-section and surface roughness will be quantified using microCT imaging. A computational geometry representing the rough straight and spiral microchannels will be constructed by importing the microCT imaging data. In this simulation geometry a two-phase fluid flow model (plasma representing one phase and red blood cells another) will be employed to quantify the blood transport as a function of hematocrit.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.

研究不同形状和粗糙度的微通道中的血液流动以及血液驱动的细胞和颗粒的运输对于制造和表征许多用于分离血液成分的医疗设备至关重要。该提案的目的是采用组合的计算实验框架来研究血液和血流驱动运输的流体动力学。将采用增材制造技术来制造具有不同粗糙度的直形和螺旋形微通道。微通道横截面和表面粗糙度将使用 microCT 成像进行量化。将通过导入 microCT 成像数据来构建代表粗糙直线和螺旋微通道的计算几何结构。在此模拟几何结构中，将采用两相流体流动模型（血浆代表一相，红细胞代表另一相）来量化血液运输作为血细胞比容的函数。该奖项反映了 NSF 的法定使命，并被认为值得通过以下方式获得支持：使用基金会的智力价值和更广泛的影响审查标准进行评估。