Research on Gas-Fraction Predicting Model of Gas-Liquid Two-Phase Flow in Vertically Downward Pipes Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3233/atde240662
The void fraction is a significant parameter for identifying gas-liquid two-phase patterns. The majority of researches have been concentrated in the vertically upward flow, but very few researches focused on the vertically downward flow. To better calculate the void fraction in vertically downward pipes, a gas-liquid two-phase flow gas fraction measurement system for the vertically downward flow was firstly established. The existing void fraction prediction models in the literature were summarized and classified. The applicability of the prediction model of gas-liquid two-phase flow in vertically downward pipes have been evaluated by comparing with the experiment, a large deviation exists for most of the existing model, only a few gas void fraction predicting models can get a better predictive result. By comparing and analysing the prediction results of void fraction data and the experimental data, three good predicting model have been found. Hajal’s homogenous model, Smith’s slip ratio model and Choi’s drift flow models, 82% predicting data in the band of ±15%, especially in the range of α < 0.4 and α > 0.8.
Related Topics
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.3233/atde240662
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403547034
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403547034Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3233/atde240662Digital Object Identifier
- Title
-
Research on Gas-Fraction Predicting Model of Gas-Liquid Two-Phase Flow in Vertically Downward PipesWork title
- Type
-
book-chapterOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-17Full publication date if available
- Authors
-
Jianwei Li, Shanshan Wang, Fang Wu, Jiahao Hu, Xiangyu Wang, Hongjun Xie, Guobin Xu, Zhao ChengList of authors in order
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https://doi.org/10.3233/atde240662Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3233/atde240662Direct OA link when available
- Concepts
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Fraction (chemistry), Gas phase, Flow (mathematics), Petroleum engineering, Two-phase flow, Data flow model, Mechanics, Materials science, Environmental science, Geology, Thermodynamics, Chemistry, Chromatography, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of | 14, 75, 79, 101, 126, 159, 165 |
| abstract_inverted_index.on | 29 |
| abstract_inverted_index.α | 166, 170 |
| abstract_inverted_index.0.4 | 168 |
| abstract_inverted_index.82% | 153 |
| abstract_inverted_index.The | 0, 12, 60, 73 |
| abstract_inverted_index.and | 71, 121, 130, 148, 169 |
| abstract_inverted_index.but | 24 |
| abstract_inverted_index.can | 113 |
| abstract_inverted_index.few | 26, 107 |
| abstract_inverted_index.for | 7, 52, 99 |
| abstract_inverted_index.gas | 48, 108 |
| abstract_inverted_index.get | 114 |
| abstract_inverted_index.the | 20, 30, 37, 53, 67, 76, 93, 102, 123, 131, 157, 163 |
| abstract_inverted_index.was | 57 |
| abstract_inverted_index.> | 171 |
| abstract_inverted_index.< | 167 |
| abstract_inverted_index.0.8. | 172 |
| abstract_inverted_index.band | 158 |
| abstract_inverted_index.been | 17, 88, 139 |
| abstract_inverted_index.data | 129, 155 |
| abstract_inverted_index.flow | 47, 56, 82, 151 |
| abstract_inverted_index.good | 135 |
| abstract_inverted_index.have | 16, 87, 138 |
| abstract_inverted_index.most | 100 |
| abstract_inverted_index.only | 105 |
| abstract_inverted_index.slip | 145 |
| abstract_inverted_index.very | 25 |
| abstract_inverted_index.void | 1, 38, 62, 109, 127 |
| abstract_inverted_index.were | 69 |
| abstract_inverted_index.with | 92 |
| abstract_inverted_index.data, | 133 |
| abstract_inverted_index.drift | 150 |
| abstract_inverted_index.flow, | 23 |
| abstract_inverted_index.flow. | 33 |
| abstract_inverted_index.large | 96 |
| abstract_inverted_index.model | 78, 137, 147 |
| abstract_inverted_index.pipes | 86 |
| abstract_inverted_index.range | 164 |
| abstract_inverted_index.ratio | 146 |
| abstract_inverted_index.three | 134 |
| abstract_inverted_index.better | 35, 116 |
| abstract_inverted_index.exists | 98 |
| abstract_inverted_index.found. | 140 |
| abstract_inverted_index.model, | 104, 143 |
| abstract_inverted_index.models | 65, 112 |
| abstract_inverted_index.pipes, | 43 |
| abstract_inverted_index.system | 51 |
| abstract_inverted_index.upward | 22 |
| abstract_inverted_index.±15%, | 160 |
| abstract_inverted_index.firstly | 58 |
| abstract_inverted_index.focused | 28 |
| abstract_inverted_index.models, | 152 |
| abstract_inverted_index.result. | 118 |
| abstract_inverted_index.results | 125 |
| abstract_inverted_index.Choi’s | 149 |
| abstract_inverted_index.downward | 32, 42, 55, 85 |
| abstract_inverted_index.existing | 61, 103 |
| abstract_inverted_index.fraction | 2, 39, 49, 63, 110, 128 |
| abstract_inverted_index.majority | 13 |
| abstract_inverted_index.Hajal’s | 141 |
| abstract_inverted_index.Smith’s | 144 |
| abstract_inverted_index.analysing | 122 |
| abstract_inverted_index.calculate | 36 |
| abstract_inverted_index.comparing | 91, 120 |
| abstract_inverted_index.deviation | 97 |
| abstract_inverted_index.evaluated | 89 |
| abstract_inverted_index.parameter | 6 |
| abstract_inverted_index.patterns. | 11 |
| abstract_inverted_index.two-phase | 10, 46, 81 |
| abstract_inverted_index.especially | 161 |
| abstract_inverted_index.gas-liquid | 9, 45, 80 |
| abstract_inverted_index.homogenous | 142 |
| abstract_inverted_index.literature | 68 |
| abstract_inverted_index.predicting | 111, 136, 154 |
| abstract_inverted_index.prediction | 64, 77, 124 |
| abstract_inverted_index.predictive | 117 |
| abstract_inverted_index.researches | 15, 27 |
| abstract_inverted_index.summarized | 70 |
| abstract_inverted_index.vertically | 21, 31, 41, 54, 84 |
| abstract_inverted_index.classified. | 72 |
| abstract_inverted_index.experiment, | 94 |
| abstract_inverted_index.identifying | 8 |
| abstract_inverted_index.measurement | 50 |
| abstract_inverted_index.significant | 5 |
| abstract_inverted_index.concentrated | 18 |
| abstract_inverted_index.established. | 59 |
| abstract_inverted_index.experimental | 132 |
| abstract_inverted_index.applicability | 74 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.64682045 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |