A cavitation performance prediction method for pumps PART3 feasible for axial-flow reactor coolant pump

Abstract

This study introduces a novel method to enhance the prediction of cavitation performance in axial flow reactor coolant pumps. Utilizing computational fluid dynamics (CFD), the paper examines the internal flow characteristics and establishes a relationship between minimum pressure, low-pressure isosurface area, and net positive suction head (NPSH). A key finding is that the pressure isosurface area ratio to blade area (Rs) is crucial for cavitation prediction. The study’s method was validated under design conditions with an initial cavitation prediction hypothesis. It was determined that at a flow rate of 0.2912 m3/s and a rotational speed of 1485r/min, the pump’s critical cavitaion performance NPSHc is 4.52 m, with a corresponding low-pressure isosurface pressure of 57117.6 Pa. The current low-pressure isosurface area is 0.00581849 m2, and the blade area is 0.13452 m2, yielding an Rs of 4.325 %. The study reveals a linear relationship between the pressure isosurface area and NPSHa when NPSHa is below a certain threshold, suggesting that this area can predict cavitation performance. This method is significant for optimizing the design and cavitation performance of axial flow reactor coolant pumps.