Articles producció científica> Enginyeria Mecànica

Pressure recovery model for gas-liquid two-phase flow across sudden expansions

  • Identification data

    Identifier: imarina:9366457
    Authors:
    Arabi, AAbdul-Majeed, GHBoukrouche, HBLarbi, Z
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: Arabi, A; Abdul-Majeed, GH; Boukrouche, HB; Larbi, Z
    Department: Enginyeria Mecànica
    URV's Author/s: Arabi, Abderraouf
    Keywords: Visualization Two-phase multiplier Sudden expansion Pressure recovery (pr) Pipe Mechanistic model Gas–liquid two-phase flow Gas-liquid two-phase flow Drop Downstream Bubbly flow Area changes
    Abstract: 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.
    Thematic Areas: Thermodynamics Nuclear energy and engineering Nuclear and high energy physics Mechanics Mechanical engineering Fluid flow and transfer processes
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: abderraouf.arabi@urv.cat
    Record's date: 2024-08-03
    Paper version: info:eu-repo/semantics/acceptedVersion
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Paper original source: Experimental And Computational Multiphase Flow. 6 (1): 14-27
    APA: Arabi, A; Abdul-Majeed, GH; Boukrouche, HB; Larbi, Z (2024). Pressure recovery model for gas-liquid two-phase flow across sudden expansions. Experimental And Computational Multiphase Flow, 6(1), 14-27. DOI: 10.1007/s42757-023-0160-3
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2024
    Publication Type: Journal Publications
  • Keywords:

    Fluid Flow and Transfer Processes,Mechanical Engineering,Mechanics,Nuclear and High Energy Physics,Nuclear Energy and Engineering,Thermodynamics
    Visualization
    Two-phase multiplier
    Sudden expansion
    Pressure recovery (pr)
    Pipe
    Mechanistic model
    Gas–liquid two-phase flow
    Gas-liquid two-phase flow
    Drop
    Downstream
    Bubbly flow
    Area changes
    Thermodynamics
    Nuclear energy and engineering
    Nuclear and high energy physics
    Mechanics
    Mechanical engineering
    Fluid flow and transfer processes
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