Coupled heat and moisture transfer in elliptical semi-permeable membrane fiber bundles for membrane distillation desalination.

Interaction between flow field and blade forces on HAWT integrating Lagrangian interpolation of velocities with an actuator volume technique

Non-intrusive flow and pressure field analysis in compressor mufflers using magnetic resonance velocimetry and integrated pressure estimation

Human beings have the ability to continuously analyze a video and immediately extract the motion components. We want to adopt this paradigm to provide a coherent and stable motion segmentation over the video sequence. In this perspective, we propose a novel long-term spatio-temporal model operating in a totally unsupervised way. It takes as input the volume of consecutive optical flow (OF) fields, and delivers a volume of segments of coherent motion over the video. More specifically, we have designed a transformer-based network, where we leverage a mathematically well-founded framework, the Evidence Lower Bound (ELBO), to derive the loss function. The loss function combines a flow reconstruction term involving spatio-temporal parametric motion models combining, in a novel way, polynomial (quadratic) motion models for the spatial dimensions and B-splines for the time dimension of the video sequence, and a regularization term enforcing temporal consistency on the segments. We report experiments on four VOS benchmarks, demonstrating competitive quantitative results while performing motion segmentation on a sequence in one go. We also highlight through visual results the key contributions on temporal consistency brought by our method.

Non-invasive urine flow dynamics characterization of pediatric hydronephrosis based on deep learning and computational fluid dynamics.

Enhanced rock-breaking performance of an angular Helmholtz cavitation jet nozzle: Flow field dynamics and mechanism analysis

A wavelet-enhanced generative model for scramjet inlet flow field reconstruction

Optimization of self-cold start for PEM fuel cell with serpentine flow field based on three-dimensional transient model: synergy of initial conditions and start-up strategies

Simulation of flow field characteristics around longitudinally staggered variable-curvature helical coil bundles

Investigation of a Sink-Float plastic separator through Computational Fluid Dynamics and Particle Image Velocimetry.

Three-dimensional visualization and optimization of fuel cell flow fields via multiphysics image fusion

Investigation of flow field characteristics in triple-reflection ultrasonic anemometers based on numerical simulation and PIV experiments

Machine learning as a catalyst for PEMFC optimization: A comprehensive review from flow fields to system integration with a multiscale perspective on research and applications

Multi-objective optimization of orifice-shaped cathode flow field design in polymer electrolyte membrane fuel cells

Distribution law of flow field and confinement velocity in large-flat space with asymmetrical opposite openings

Geometric-embedded vision transformer for flow field predictions of NACA-series rudder profiles at different angles of attack

Background: As one of the essential pieces of chemical equipment, a reactor provides the necessary reaction space and conditions for the materials involved in the reaction during the stirring process. However, under typical operating conditions, issues such as uneven gas distribution, suboptimal gas-liquid mixing, and low product yield often arise in gas-liquid phase reactors. Purpose: To address the issues prevalent in current stirred reactors, a new design for a stirred reactor equipped with a double-suction turbine agitator was developed. Method: In this paper, a stirred reactor equipped with a double-suction turbine agitator was designed, and its three-dimensional modeling was conducted using SolidWorks. Computational Fluid Dynamics (CFD) simulations, based on the Euler-Euler two-phase approach with the RNG k −ε turbulence model, were performed to assess variables such as stirring speed, installation height, blade diameter and agitator inner diameter. The dispersion characteristics and flow field behaviors of the gas-liquid two-phase under varying conditions were comparatively analyzed. Optimizations were conducted across various parameters to enhance the gas mixing efficiency in the liquid phase. Result: The results show that a diameter of 370mm for the double-suction turbine agitator, an installation height of 640mm, a blade diameter of 500mm, and an inner hole diameter of 200mm yield optimal gas-liquid two-phase mixing performance. This configuration results in a broad and uniform gas distribution within the reactor, maintaining a desired high level of gas holdup at specific positions. Conclusion: The double suction turbine agitator is a type of radial agitator. During operation, it induces significant centrifugal forces in the liquid, exerts a robust shear effect, and enhances the mixing of the gas-liquid phases, thereby increasing the production efficiency of the product.

Flow field design for mitigating thermal stress in solid oxide fuel cells under high fuel utilization

Investigation of flow field structures induced by cavity geometry in supersonic Mach 2 conditions

Effect of flow field on the combustion performance of a triple-swirler combustor for advanced aircraft engine