Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
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.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786701 | PMC |
| http://dx.doi.org/10.1016/j.dib.2024.111245 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Role of Operating Temperature on Pore-Scale Gas Transport in Polymer Electrolyte Membrane Electrolyzers.
Adv Sci (Weinh)
September 2025
Bazylak Group, Department of Mechanical & Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, ON, M5S 3G8, Canada.
In this study, the effects of operating temperature on pore-scale gas bubble transport in a carbon-based anode porous transport layer (PTL) of a polymer electrolyte membrane (PEM) electrolyzer is revealed using operando X-ray computed tomography (CT). Higher temperature operation (80 °C compared to 40 °C) led to a lower total gas bubble volume fraction in the PTL (0.25 to 0.
View Article and Find Full Text PDFMitigating spectral bias in neural operators via high-frequency scaling for physical systems.
Neural Netw
August 2025
Division of Applied Mathematics, Brown University, Providence, RI, 02912, USA; Pacific Northwest National Laboratory, Richland, WA, 99354, USA. Electronic address:
Neural operators have emerged as powerful surrogates for modeling complex physical problems. However, they suffer from spectral bias making them oblivious to high-frequency modes, which are present in multiscale physical systems. Therefore, they tend to produce over-smoothed solutions, which is particularly problematic in modeling turbulence and for systems with intricate patterns and sharp gradients such as multi-phase flow systems.
View Article and Find Full Text PDFCell Partitioning Design for Microfluidic ATPS Devices: A Dynamic Energy Strategy and Calculation Using Chondrocytes and Model Microparticles.
Micromachines (Basel)
August 2025
Department of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
Sorting and isolating specific cells from heterogeneous populations are crucial for many biomedical applications, including drug discovery and medical diagnostics. Conventional methods such as Fluorescent Activated Cell Sorting (FACS) and Magnetic Activated Cell Sorting (MACS) face limitations in throughput, cost, and the ability to separate subtly different cells. Cell partitioning in Aqueous Two-Phase Systems (ATPSs) offers a biocompatible and cost-effective alternative, particularly when combined with continuous-flow microfluidics.
View Article and Find Full Text PDFWettability Regulated Two-Phase Flow of Supercritical CO and Water in Confined Nanochannels.
ACS Appl Mater Interfaces
August 2025
Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang 212013, China.
Supercritical carbon dioxide (scCO) has emerged as a promising agent in enhanced oil recovery (EOR) due to its ability to reduce interfacial tension and enhance oil mobility in reservoirs. Water is ubiquitous in oil reservoirs, yet the underlying mechanisms governing scCO transport in the presence of water within nanoscale channels remain inadequately understood. Using molecular dynamics simulations combined with analytical models, this study explores the two-phase flow behavior of scCO and water in confined nanochannels, emphasizing the effects of water saturation () and channel wettability.
View Article and Find Full Text PDFFlow Characteristics and Enhanced Oil Recovery Performance of Anionic and Zwitterionic Viscoelastic Surfactant System.
Gels
August 2025
College of Petroleum Engineering, Xi'an Shiyou University, Xi'an 710065, China.
Surfactant flooding has shown potential in enhanced oil recovery (EOR), but conventional surfactants often underperform in heterogeneous reservoirs. This study investigates the impact of a surfactant mixture, combining anionic sodium dodecyl sulfate (SDS) and zwitterionic oleylamidopropyl betaine (OAB-30), on two-phase flow behavior and its EOR potential. Six surfactant solutions with varying concentrations were first screened using an idealized dead-end shaped microchannel in combination with interfacial properties and rheological tests.
View Article and Find Full Text PDF