Dipartimento di Ingegneria, Università degli Studi di Napoli "Parthenope", Centro Direzionale, Isola C4, 80143, Napoli, Italy.
Department of Biomedical Sciences, Humanitas University, Via A. Manzoni 113, 20089, Rozzano (Milan), Italy.
Med Biol Eng Comput. 2018 Oct;56(10):1823-1839. doi: 10.1007/s11517-018-1813-4. Epub 2018 Mar 22.
The present work describes the application of the generalised porous medium model to study heat and fluid flow in healthy and glaucomatous eyes of different subject specimens, considering the presence of ocular cavities and porous tissues. The 2D computational model, implemented into the open-source software OpenFOAM, has been verified against benchmark data for mixed convection in domains partially filled with a porous medium. The verified model has been employed to simulate the thermo-fluid dynamic phenomena occurring in the anterior section of four patient-specific human eyes, considering the presence of anterior chamber (AC), trabecular meshwork (TM), Schlemm's canal (SC), and collector channels (CC). The computational domains of the eye are extracted from tomographic images. The dependence of TM porosity and permeability on intraocular pressure (IOP) has been analysed in detail, and the differences between healthy and glaucomatous eye conditions have been highlighted, proving that the different physiological conditions of patients have a significant influence on the thermo-fluid dynamic phenomena. The influence of different eye positions (supine and standing) on thermo-fluid dynamic variables has been also investigated: results are presented in terms of velocity, pressure, temperature, friction coefficient and local Nusselt number. The results clearly indicate that porosity and permeability of TM are two important parameters that affect eye pressure distribution. Graphical abstract Velocity contours and vectors for healthy eyes (top) and glaucomatous eyes (bottom) for standing position.
本工作描述了广义多孔介质模型在研究不同个体标本健康眼和青光眼眼中的热和流体流动的应用,考虑到了眼腔和多孔组织的存在。二维计算模型已被实现到开源软件 OpenFOAM 中,并针对部分填充多孔介质的混合对流的基准数据进行了验证。已经使用验证后的模型来模拟在四个特定于患者的人眼中的前节中发生的热流动力学现象,考虑到前房(AC)、小梁网(TM)、施莱姆氏管(SC)和收集管(CC)的存在。眼的计算域是从断层图像中提取的。详细分析了 TM 孔隙率和渗透率对眼内压(IOP)的依赖性,并强调了健康眼和青光眼眼条件之间的差异,证明了患者的不同生理条件对热流动力学现象有重大影响。还研究了不同眼位置(仰卧和站立)对热流动力学变量的影响:结果以速度、压力、温度、摩擦系数和局部努塞尔数的形式呈现。结果清楚地表明,TM 的孔隙率和渗透率是影响眼压分布的两个重要参数。