Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data
The Vertical Two-Phase Flow Regimes in an annulus Image Dataset, generated at Texas A&M University, presents an extensive collection of high-resolution images capturing various gas-liquid two-phase flow dynamics within a vertical flow setup. This dataset results from meticulous experimental work...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924012071 |
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| author | Kaushik Manikonda Chinemerem Obi Aarya Abhay Brahmane Mohammad Azizur Rahman Abu Rashid Hasan |
| author_facet | Kaushik Manikonda Chinemerem Obi Aarya Abhay Brahmane Mohammad Azizur Rahman Abu Rashid Hasan |
| author_sort | Kaushik Manikonda |
| collection | DOAJ |
| description | The Vertical Two-Phase Flow Regimes in an annulus Image Dataset, generated at Texas A&M University, presents an extensive collection of high-resolution images capturing various gas-liquid two-phase flow dynamics within a vertical flow setup. This dataset results from meticulous experimental work in the 140 ft Tower Lab, utilizing a combination of water and air flows to simulate real-world conditions and employing high-quality video recordings to document flow regime transitions. Designed to support research in fluid dynamics, machine vision, and computational modeling, the dataset offers valuable resources for developing machine vision models for accurate regime detection and differentiation, enhancing the fidelity of computational fluid dynamics simulations, and facilitating the estimation of critical flow parameters. Despite its comprehensive nature, the dataset notes limitations such as the absence of annular flow regime images and its exclusive focus on vertical flow conditions. |
| format | Article |
| id | doaj-art-ff25fcb357bb4a39bd1bc044822e58d6 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-ff25fcb357bb4a39bd1bc044822e58d62025-01-31T05:11:39ZengElsevierData in Brief2352-34092025-02-0158111245Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley DataKaushik Manikonda0Chinemerem Obi1Aarya Abhay Brahmane2Mohammad Azizur Rahman3Abu Rashid Hasan4Texas A&M University, College Station, TX 77840, United States; Georgia Institute of Technology, Atlanta, GA 30332, United States; Dell Technologies, Round Rock, TX 78664, United States; Corresponding author.Texas A&M University, College Station, TX 77840, United StatesTexas A&M University, College Station, TX 77840, United StatesTexas A&M University at Qatar, Education City, Al Rayyan, Qatar; Hamad Bin Khalifa University, Education City - Gate 8, Ar-Rayyan, QatarTexas A&M University, College Station, TX 77840, United StatesThe Vertical Two-Phase Flow Regimes in an annulus Image Dataset, generated at Texas A&M University, presents an extensive collection of high-resolution images capturing various gas-liquid two-phase flow dynamics within a vertical flow setup. This dataset results from meticulous experimental work in the 140 ft Tower Lab, utilizing a combination of water and air flows to simulate real-world conditions and employing high-quality video recordings to document flow regime transitions. Designed to support research in fluid dynamics, machine vision, and computational modeling, the dataset offers valuable resources for developing machine vision models for accurate regime detection and differentiation, enhancing the fidelity of computational fluid dynamics simulations, and facilitating the estimation of critical flow parameters. Despite its comprehensive nature, the dataset notes limitations such as the absence of annular flow regime images and its exclusive focus on vertical flow conditions.http://www.sciencedirect.com/science/article/pii/S2352340924012071Gas-liquid Two-phase flowMachine visionMulti-phase flowMachine learningComputer vision |
| spellingShingle | Kaushik Manikonda Chinemerem Obi Aarya Abhay Brahmane Mohammad Azizur Rahman Abu Rashid Hasan Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data Data in Brief Gas-liquid Two-phase flow Machine vision Multi-phase flow Machine learning Computer vision |
| title | Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data |
| title_full | Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data |
| title_fullStr | Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data |
| title_full_unstemmed | Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data |
| title_short | Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data |
| title_sort | vertical two phase flow regimes in an annulus image dataset texas a m universitymendeley data |
| topic | Gas-liquid Two-phase flow Machine vision Multi-phase flow Machine learning Computer vision |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924012071 |
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