From the Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia.
Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
ASAIO J. 2018 Sep/Oct;64(5):673-679. doi: 10.1097/MAT.0000000000000703.
The need for mechanical assistance of the failing heart has increased with improvements in medicine and a rapidly aging population. In recent decades, significant progress has been made in the development and refinement of ventricular assist devices (VADs). Such devices operate in mixed laminar, transitional, and turbulent flow regime. One tool that assists in the development of VADs by facilitating understanding of the physical and mechanical properties of these flow regimes is computational fluid dynamics (CFD). In our investigation, we tested an advanced turbulence model that is a further development from standard Reynolds-averaged Navier-Stokes (RANS) models. From estimated pump flow rates (Q0) and constant rotation speed (n), pressure head (Δp) was calculated and validated with experimental data. An advanced turbulence model called scale adaptive simulation (SAS) was used in the solving of six different working cases comparing numerical SAS-SST and standard SST-kω models to experimental results.
随着医学的进步和人口的快速老龄化，对衰竭心脏进行机械辅助的需求不断增加。在最近几十年中，心室辅助设备（VAD）的开发和改进取得了重大进展。此类设备在混合层流、过渡流和湍流区域运行。计算流体动力学（CFD）是一种有助于理解这些流态的物理和机械特性的工具，它有助于 VAD 的开发。在我们的研究中，我们测试了一种先进的湍流模型，它是对标准雷诺平均纳维-斯托克斯（RANS）模型的进一步发展。根据估计的泵流量（Q0）和恒定转速（n），计算出压力头（Δp），并通过实验数据进行了验证。在解决六个不同工作案例时，使用了一种称为尺度自适应模拟（SAS）的先进湍流模型，将数值 SAS-SST 和标准 SST-kω模型与实验结果进行了比较。
