INVESTIGATION OF FLOW AND NUTRIENT TRANSPORT IN 3D POROUS SCAFFOLDS USED FOR BO

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 这是一项利用高端计算在微观水平上描述多孔支架中的流动和质量传输的建议。其目的是利用用于骨组织生长的灌流生物反应器中的实际支架的图像，以计算流量和材料特性，并开发能够描述营养物质在灌流生物反应器中向骨细胞转移的模型。计算方法是将流动模拟与拉格朗日方法结合使用。格子Boltzmann方法(LBM)是模拟复杂几何形状(如多孔支架)中小尺度流动的首选方法，它将与本实验室开发的拉格朗日标量跟踪(LST)方法相结合来模拟传质。现代可视化技术，如微计算层析扫描，将在微观尺度(10微米分辨率)提供3D孔隙空间的详细数字视图，这将作为LBM/LST方法应用的计算领域。骨组织的发育随着时间的推移将与支架的构型相关联，从而提出适合骨组织生长的最佳支架。建模结果将通过实验进行验证。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This is a proposal to use high end computing to describe flow and mass transport through porous scaffolds in the microscopic level. The objective is to employ images of actual scaffolds used in perfusion bioreactors for bone tissue growth in order to calculate flow and material properties, and in order to develop models that can describe the transfer of nutrients to the bone cells in perfusion bioreactors. The computational approach is to use a flow simulation in conjunction with a Lagrangian method. The lattice Boltzmann method (LBM) is the method of choice for simulating small scale flows in complicated geometries (like porous scaffolds), and it will be combined with the Lagrangian scalar tracking (LST) methodology developed in our laboratory for simulating mass transfer. Modern visualization techniques, like micro-Computing Tomography scans, will provide a detailed, digital view of the 3D pore space in a microscopic scale (10 microns resolution), which will serve as the computational domain for the application of the LBM/LST methodology. Bone tissue development with time will be correlated to the scaffold configuration, in order to propose optimal scaffolds for bone tissue growth. Modeling results will be validated with experiments.