Articles producció científica> Enginyeria Mecànica

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

  • Dades identificatives

    Identificador: imarina:9366457
    Autors:
    Arabi, AAbdul-Majeed, GHBoukrouche, HBLarbi, Z
    Resum:
    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.
  • Altres:

    Autor segons l'article: Arabi, A; Abdul-Majeed, GH; Boukrouche, HB; Larbi, Z
    Departament: Enginyeria Mecànica
    Autor/s de la URV: Arabi, Abderraouf
    Paraules clau: 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
    Resum: 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.
    Àrees temàtiques: Thermodynamics Nuclear energy and engineering Nuclear and high energy physics Mechanics Mechanical engineering Fluid flow and transfer processes
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: abderraouf.arabi@urv.cat
    Data d'alta del registre: 2024-08-03
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Experimental And Computational Multiphase Flow. 6 (1): 14-27
    Referència de l'ítem segons les normes 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
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2024
    Tipus de publicació: Journal Publications
  • Paraules clau:

    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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