An enhanced drift-flux correlation to model water-gas flows at different inclination angles
The primary focus of this research is to create a precise, yet straightforward drift-flux model tailored for water-gas flow in variously angled pipes. This model is pivotal in estimating the volumetric flow rate of each phase in two-phase pipe flow scenarios. The proposed correlation is developed us...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024000719 |
| _version_ | 1797247735762518016 |
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| author | Abdulaziz AlSaif Abdelsalam Al-Sarkhi |
| author_facet | Abdulaziz AlSaif Abdelsalam Al-Sarkhi |
| author_sort | Abdulaziz AlSaif |
| collection | DOAJ |
| description | The primary focus of this research is to create a precise, yet straightforward drift-flux model tailored for water-gas flow in variously angled pipes. This model is pivotal in estimating the volumetric flow rate of each phase in two-phase pipe flow scenarios. The proposed correlation is developed using twenty-two different (4367 data points) sources with a wide range of input data with different flow patterns. The drift-flux model created in this study underwent validation through the use of experimental data previously documented in the literature. Results indicate this model's stability and practicality, achieving 94.7 % accuracy within a margin of error of ±20 % for the chosen datasets. Furthermore, when compared against several drift-flux models, this newly proposed model consistently outperformed them across a liquid holdup range of 0.01–1. A comparative analysis with the state-of-the-art Unified Model underscores the accuracy of the proposed drift-flux model, highlighting its performance across diverse inclination angles and flow regimes. The proposed model demonstrates excellent predictive accuracy, particularly in vertical flow scenarios. Extending the scope of the study, further research could focus on the application of the developed drift-flux model to other fluid combinations and flow conditions, as well as its integration with mechanistic modeling and computational fluid dynamics simulations to provide more comprehensive insights into the behavior of two-phase flow in pipes with different inclination angles, enhancing the model predictive ability and operational range. |
| first_indexed | 2024-03-08T05:14:05Z |
| format | Article |
| id | doaj.art-58e174423e8544938f4bab3bf22f62d6 |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-04-24T20:03:25Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-58e174423e8544938f4bab3bf22f62d62024-03-24T07:00:46ZengElsevierResults in Engineering2590-12302024-03-0121101818An enhanced drift-flux correlation to model water-gas flows at different inclination anglesAbdulaziz AlSaif0Abdelsalam Al-Sarkhi1Mechanical Engineering Department, Dhahran, Saudi ArabiaMechanical Engineering Department, Dhahran, Saudi Arabia; Center for Integrative Petroleum Research, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia; Corresponding author. Mechanical Engineering Department, Dhahran, Saudi Arabia.The primary focus of this research is to create a precise, yet straightforward drift-flux model tailored for water-gas flow in variously angled pipes. This model is pivotal in estimating the volumetric flow rate of each phase in two-phase pipe flow scenarios. The proposed correlation is developed using twenty-two different (4367 data points) sources with a wide range of input data with different flow patterns. The drift-flux model created in this study underwent validation through the use of experimental data previously documented in the literature. Results indicate this model's stability and practicality, achieving 94.7 % accuracy within a margin of error of ±20 % for the chosen datasets. Furthermore, when compared against several drift-flux models, this newly proposed model consistently outperformed them across a liquid holdup range of 0.01–1. A comparative analysis with the state-of-the-art Unified Model underscores the accuracy of the proposed drift-flux model, highlighting its performance across diverse inclination angles and flow regimes. The proposed model demonstrates excellent predictive accuracy, particularly in vertical flow scenarios. Extending the scope of the study, further research could focus on the application of the developed drift-flux model to other fluid combinations and flow conditions, as well as its integration with mechanistic modeling and computational fluid dynamics simulations to provide more comprehensive insights into the behavior of two-phase flow in pipes with different inclination angles, enhancing the model predictive ability and operational range.http://www.sciencedirect.com/science/article/pii/S2590123024000719Drift-flux modelInclined pipeTwo-phase flowLiquid-gas flowVoid fractionCorrelation |
| spellingShingle | Abdulaziz AlSaif Abdelsalam Al-Sarkhi An enhanced drift-flux correlation to model water-gas flows at different inclination angles Results in Engineering Drift-flux model Inclined pipe Two-phase flow Liquid-gas flow Void fraction Correlation |
| title | An enhanced drift-flux correlation to model water-gas flows at different inclination angles |
| title_full | An enhanced drift-flux correlation to model water-gas flows at different inclination angles |
| title_fullStr | An enhanced drift-flux correlation to model water-gas flows at different inclination angles |
| title_full_unstemmed | An enhanced drift-flux correlation to model water-gas flows at different inclination angles |
| title_short | An enhanced drift-flux correlation to model water-gas flows at different inclination angles |
| title_sort | enhanced drift flux correlation to model water gas flows at different inclination angles |
| topic | Drift-flux model Inclined pipe Two-phase flow Liquid-gas flow Void fraction Correlation |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024000719 |
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