Digital Twin Modeling and Flow Field Characteristics Analysis of Multi-Stage Pressure Reducing Regulating Valve Core

Aiming at the problem of lacking effective means to detect and evaluate the internal state of spatial ant-hole type aerodynamic and thermal engineering multi-stage pressure reduction control valves, a digital twin model of the multi-stage pressure reduction control valve was constructed and used to analyze the flow field distribution characteristics inside the valve core. Based on the testing results of inlet and outlet pressures of the multi-stage pressure reduction control valve, a computational fluid dynamics simulation model was established to obtain flow field pressure distribution of the valve core; then dimensionality of the simulation data was reduced by using the improved K-nearest neighbors algorithm, and a proxy model of the flow field pressure distribution and valve core stress distribution was established by the trained radial basis function neural network; finally, the digital twin model of the multi-stage pressure reduction control valve core was established based on real-time measuring data. The proposed digital twin model was utilized to analyze the flow field pressure distribution of the spatial ant-hole type multi-stage pressure reduction control valve under different inlet and outlet pressure conditions. It was found that maximum relative error of flow field pressures and velocity between the predicted result and the testing result is about 8.08% and 12.06%, which validated the effectiveness of the proposed digital twin model. The proposed method provides a visualization approach for on-site detecting and evaluating the real-time internal state of the multi-stage pressure reduction control valve.