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Results for “Multiphase”
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Relative permeability for multiphase flow for oven-dry to full saturation conditions
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Theoretical model of dielectrophoretic water vapor condensation during multiphase flow of electrically charged water droplets in air
Water droplet growth in air, influenced by vapor diffusion and electrical charging, has significant implications for indoor air quality, cloud formation, and aerosol dynamics. Here, this study presents a comprehensive theoretical model that describes the growth dynamics of electrically charged water droplets under external electric fields, incorporating diffusion, electrostatic, and dielectrophoretic forces to enhance understanding and practical applications in air dehumidification and environmental control. A theoretical model was established to analyze the growth dynamics of the charged water droplets. The approach extended the thermodynamic framework of the Modified Kelvin-Thomson equation by integrating electrostatic and dielectrophoretic effects, enabling a comprehensive evaluation of vapor concentration near the surface of charged droplets. A sensitivity analysis was performed to assess the roles of droplet size, electric field intensity, surface charge, and vapor concentration on condensation rates. The study progressed beyond the classical diffusion-limited growth of neutral droplets, addressing the behavior of charged droplets in electrohydrodynamic environments. The model highlighted the significance of dielectrophoretic drift flux for dipolar vapor molecules, especially in micron-sized droplets ranging from 10 to 100 µm. Findings demonstrated that, for smaller droplets subjected to elevated electrical charge, average growth rates varied from 0.3 to 1.6 µm/s if the air relative humidity increased from 50 to 100 %. Analytical results are corroborated by numerical simulations, which exhibited strong concordance, thereby validating the proposed theoretical approach. This research introduced an innovative and scalable analytical methodology for electric field-enhanced droplet growth, offering valuable insights into the advancement of energy-efficient air dehumidification, water desalination, and atmospheric water harvesting technologies.
A more fundamental wall lubrication force from turbulent dispersion regularization for multiphase CFD applications
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A Multiphase Validation of Atlas-Based Automatic and Semiautomatic Segmentation Strategies for Prostate MRI
Purpose: To perform a rigorous technological assessment and statistical validation of a software technology for anatomic delineations of the prostate on MRI datasets. Methods and Materials: A 3-phase validation strategy was used. Phase I consisted of anatomic atlas building using 100 prostate cancer MRI data sets to provide training data sets for the segmentation algorithms. In phase II, 2 experts contoured 15 new MRI prostate cancer cases using 3 approaches (manual, N points, and region of interest). In phase III, 5 new physicians with variable MRI prostate contouring experience segmented the same 15 phase II datasets using 3 approaches: manual, N points with no editing, and full autosegmentation with user editing allowed. Statistical analyses for time and accuracy (using Dice similarity coefficient) endpoints used traditional descriptive statistics, analysis of variance, analysis of covariance, and pooled Student t test. Results: In phase I, average (SD) total and per slice contouring time for the 2 physicians was 228 (75), 17 (3.5), 209 (65), and 15 seconds (3.9), respectively. In phase II, statistically significant differences in physician contouring time were observed based on physician, type of contouring, and case sequence. The N points strategy resulted in superior segmentation accuracy when initial autosegmented contours were compared with final contours. In phase III, statistically significant differences in contouring time were observed based on physician, type of contouring, and case sequence again. The average relative timesaving for N points and autosegmentation were 49% and 27%, respectively, compared with manual contouring. The N points and autosegmentation strategies resulted in average Dice values of 0.89 and 0.88, respectively. Pre- and postedited autosegmented contours demonstrated a higher average Dice similarity coefficient of 0.94. Conclusion: The software provided robust contours with minimal editing required. Observed time savings were seen for all physicians irrespective of experience level and baseline manual contouring speed.
Multiscale crystal plasticity modeling of multiphase advanced high strength steel
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High strength and high ductility in a novel Fe 40.2 Ni 11.3 Mn 30 Al 7.5 Cr 11 multiphase high entropy alloy
In the present study, a novel Fe 40.2 Ni 11.3 Mn 30 Al 7.5 Cr 11 high entropy alloy displaying an excellent com- bination of high strength and high ductility has been developed. The b.c.c.þB2/f.c.c. dendritic- interdendritic microstructure was characterized using scanning electron microscopy, X-ray diffraction, and transmission electron microscopy, and the alloy’s mechanical properties were examined using Vickers hardness measurements and room-temperature tensile tests. The phase stability of Fe 40.2 Ni 11.3 Mn 30 Al 7.5 Cr 11 was investigated by annealing the alloy between 1173 Ke1273 K, and the presence of both Ni-rich, b.c.c. needle-shaped precipitates and Cr-rich, s phase particles was observed for the 1173 K annealed specimen. The s phase precipitates contributed to the rapid age-hardening effect in the material annealed at 1173 K. A further increase in ageing temperature to 1223 K and 1273 K led to the dissolution of the s phase and a reduction in the volume fraction of the b.c.c./B2 dendrites, which led to a consequent drop in room-temperature yield strength from the as-cast value of ~593 MPae~486 MPa and ~228 MPa for the specimens annealed at 1223 K and 1273 K, respectively. An accompanying increase in ductility was observed from ~22% for the as-cast alloy to ~27% and ~40% after annealing the material at 1223 K and 1273 K, respectively. Post-deformation transmission electron micrographs revealed that the f.c.c interdendrites accommodated plastic strain via wavy slip and moreover, deformed before the b.c.c. dendritic regions, which were reinforced by B2 particles and acted as obstacles to moving dislocations. Finally, the discovery of a multi-phase HEA that contains 11% Cr and good mechanical properties has relevant high-temperature structural applications especially in cases that require suitable corrosion resistance.
An approximate Jacobian nonlinear solver for multiphase flow and transport
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A consistent and conservative Phase-Field method for compressible multiphase flows with shocks
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An effective preconditioning strategy for volume penalized incompressible/low Mach multiphase flow solvers
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A consistent and conservative phase-field method for compressible N-phase flows: Consistent limiter and multiphase reduction-consistent formulation
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Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media
A full approximation scheme (FAS) nonlinear multigrid solver for two-phase flow and transport problems driven by wells with multiple perforations is developed here. It is an extension to our previous work on FAS solvers for diffusion and transport problems. The solver is applicable to discrete problems defined on unstructured grids as the coarsening algorithm is aggregation-based and algebraic. To construct coarse basis that can better capture the radial flow near wells, coarse grids in which perforated well cells are not near the coarse-element interface are desired. This is achieved by an aggregation algorithm proposed in this paper that makes use of the location of well cells in the cell-connectivity graph. Numerical examples in which the FAS solver is compared against Newton's method on benchmark problems are given. In particular, for a refined version of the SAIGUP model, the FAS solver is at least 35% faster than Newton's method for time steps with a CFL number greater than 10.