Repositori URV

Identificador: imarina:9366457

Handle: https://hdl.handle.net/20.500.11797/imarina9366457

Autores:
Arabi, AAbdul-Majeed, GHBoukrouche, HBLarbi, Z

Resumen:
The presence of a sudden expansion generates a variation in the static pressure, which is commonly called pressure recovery (PR). In this paper, we did an extensive literature review to list existing gas-liquid two-phase flow PR models and collect experimental data. As a result, a total of 305 data points were gathered from 6 recent works and 18 predictive models were identified. An analysis of the different existing models was carried out. Then, the predictive capability of 9 existing models was assessed using the collected database. It was reported that none of the models can predict the experimental results for a large range of experimental conditions. This finding highlighted the necessity to propose a new model. The proposed predictive model was developed using the two-phase multiplier and mass quality. These two parameters were correlated using 157 data points from the collected database, while the rest of the data were used to validate it. It was found that the proposed model gives better predictions compared to existing ones in the range of conditions and parameters of the experimental data used in this analysis.