The impeller blade structure is one of the important factors affecting the performance of the turbine flow sensor. However, the underlying fluid dynamics mechanism is still not fully understood. The DN10 turbine flow sensor's internal flow field was analyzed based on computational fluid dynamics (CFD) simulations to explain the influence mechanism of blade structure on its performance. The experiment proves that the simulation method is reliable. The structural parameter η, which characterizes the shape of the impeller blade, was defined, and four turbine flow sensor structures were studied. The results suggested that the value of η affects the stability of the impeller's fluid dynamics characteristics, the velocity distribution at the impeller inlet, and the acting position and time of the wake flow behind the upstream flow conditioner. Therefore, the structural parameter influents the performance of the turbine flow sensor. With the increase of η, the characteristic curve gradually moves down, the average meter factor decreases, and the linearity error increases.

叶轮叶片结构是影响涡轮流量传感器性能的重要因素之一。然而，潜在的流体动力学机制仍未完全了解。基于计算流体动力学（CFD）模拟分析DN10涡轮流量传感器的内部流场，以解释叶片结构对其性能的影响机制。实验证明该仿真方法是可靠的。定义了表征叶轮叶片形状的结构参数η，并研究了四种涡轮流量传感器结构。结果表明η的值影响叶轮流体动力学特性的稳定性、叶轮入口处的速度分布以及上游流量调节器后尾流的作用位置和时间。因此，结构参数影响涡轮流量传感器的性能。随着η的增大，特性曲线逐渐下移，平均仪表系数减小，线性误差增大。