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

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 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. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. 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.