论文标题
自动化的CFD形状优化的定子叶片用于小儿小儿心室辅助装置
Automated CFD shape optimization of stator blades for the PediaFlow pediatric ventricular assist device
论文作者
论文摘要
Pediaflow是一种用于新生儿和幼儿的微型混合流室辅助装置。 PediaFlow具有完全磁悬浮的转子,可提高生物相容性,但是转子的长度增加会产生一个长的环形通道,其中流体能量丢失。因此,在叶轮阶段后立即提出了一组螺旋定子叶片,以去除旋流流并恢复动态头作为静压。进行定子叶片的自动计算流体动力学(CFD)形状优化,以在1.5 LPM和16,000 rpm的工作点上最大化压力恢复。另外,使用数值建模评估了对溶血和血栓形成性的影响。优化算法在较大数量的短叶片上偏爱更大长度的叶片。包裹角与轴向长度的比率作为钥匙约束,以确保设计的生存能力。最好的设计有2个叶片,并在一个孤立的阶段产生了73 mmHg的压力回收。当重新引入完整流动路径的CFD模拟时,添加的定子阶段将泵头增加46%,并在选定的操作点将泵的效率从21.9%提高到25.7%。自动化的CFD形状优化与血液相容性评估相结合,可以是探索设计选择并告知早期开发过程的有效工具。
PediaFlow is a miniature mixed-flow ventricular assist device for neonates and toddlers. PediaFlow has a fully magnetically levitated rotor which improves biocompatibility, but the increased length of the rotor creates a long annular passage where fluid energy is lost. Therefore, a set of helical stator blades was proposed immediately after the impeller stage to remove the swirling flow and recover the dynamic head as static pressure. Automated computational fluid dynamics (CFD) shape optimization of the stator blades was performed to maximize pressure recovery at the operating point of 1.5 LPM and 16,000 RPM. Additionally, the effect on hemolysis and thrombogenicity was assessed using numerical modeling. The optimization algorithm favored fewer blades of greater length over a larger number of short blades. The ratio of wrap angle to axial length emerged as a key constraint to ensure the viability of a design. The best design had 2 blades and generated 73 mmHg of pressure recovery in an isolated stage. When re-introduced to the CFD simulation of the complete flow path, the added stator stage increased the pump head by 46% and improved the pump efficiency from 21.9% to 25.7% at the selected operating point. Automated CFD shape optimization combined with in silico evaluation of hemocompatibility can be an effective tool for exploring design choices and informing early development process.