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Using PIV to determine relative pressures in a stenotic phantom under steady flow based on the Pressure-Poisson equation

机译:基于压力-泊松方程,使用PIV确定稳态流动下狭窄体模中的相对压力

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Pressure gradient across a Gaussian-shaped 87% area stenosis phantom was estimated by solving the pressure Poisson equation (PPE) for a steady flow mimicking the blood flow through the human iliac artery. The velocity field needed to solve the pressure equation was obtained using particle image velocimetry (PIV). A steady flow rate of 46.9 ml/s was used, which corresponds to a Reynolds number of 188 and 595 at the inlet and stenosis throat, respectively (in the range of mean Reynolds number encountered in-vivo). In addition, computational fluid dynamics (CFD) simulation of the same flow was performed. Pressure drops across the stenosis predicted by PPE/PIV and CFD were compared with those measured by a pressure catheter transducer. RMS errors relative to the measurements were 17% and 10% for PPE/PIV and CFD, respectively.
机译:通过求解压力Poisson方程(PPE)以获得模拟流经人体human动脉的血流的稳定流量,可以估算高斯形状的面积为87%的狭窄体模上的压力梯度。使用粒子图像测速仪(PIV)获得了求解压力方程所需的速度场。使用46.9 ml / s的稳定流速,分别对应于入口和狭窄喉部的雷诺数188和595(在体内遇到的平均雷诺数范围内)。此外,还执行了相同流动的计算流体动力学(CFD)模拟。将通过PPE / PIV和CFD预测的狭窄处的压降与通过压力导管换能器测得的压降进行比较。相对于测量的RMS误差,PPE / PIV和CFD分别为17%和10%。

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