Resources

Author(s): Outi Supponen Experimental high-speed visualization techniques are evolving rapidly and provide valuable tools for learning about ultrafast bubble dynamics that cause unwanted but also desirable damage, such as cavitation and acoustically driven bubbles and droplets relevant for biomedical applications. This article offers my personal perspective on the quest to illuminate the hidden physics of externally stimulated bubbles that have...

Author(s): J. Tauber, J. Asnacios, and L. Mahadevan With experiment and theory we consider the branching morphodynamics of injecting a shear-thinning liquid from a point source to a point sink in a Hele-Shaw cell filled with a yield-stress fluid which has a sudden transition in its response as the local stress crosses a threshold. As the injection rate is increased an abrupt transition occurs, from a direct path connecting source to sink at low...

Author(s): Zhanwen Wang, Michael J. Miksis, and Petia M. Vlahovska The dynamics of a spherical particle undergoing Quincke electro-rotation in the vicinity of a planar electrode are investigated. Increasing the electric field induces a transition from steady rolling to periodic and then chaotic oscillations, with the onset threshold depending on the particle–surface gap and particle inertia. When allowing for normal motion of the particle the...

Author(s): M. Rubio, S. Rodríguez-Aparicio, M. G. Cabezas, J. M. Montanero, and M. A. Herrada Tip streaming in a coflowing device is probably the simplest way to generate quasi‑monodisperse droplets that are much smaller than the device’s fluid passages. We show that flow stability cannot be determined from the linear stability analysis of the steady microjetting mode but from the linear superposition of decaying eigenmodes triggered by an initial...

Author(s): Yunpeng Wang, Huiyu Yang, Zelong Yuan, Zhijie Li, Wenhui Peng, and Jianchun Wang A machine-learning-based surrogate model is proposed for the large-eddy simulation of three-dimensional turbulent flows over curved boundaries with strong flow separation. The model, termed as hybrid U-Net and Fourier neural operator (HUFNO), is based on an integrated framework of convolutional neural networks and Fourier neural operators, tailored for...

Author(s): Yi Zhang, Apurav Tambe, and Zhao Pan The maximum droplet volume that a fiber can retain is a classic problem in the physics of droplet-fiber interactions, with established results for horizontal and Λ-shaped bent fibers. However, this question has remained less explored for V-shaped bent fibers, despite their relevance to fog harvesting and condensation technologies. Here, we develop a free-energy- based analytical model to predict...

Author(s): Santiago Caro, Riccardo Artoni, Patrick Richard, Michele Larcher, and James T. Jenkins Sheared polydisperse granular materials exhibit a subtle balance between size segregation and diffusion that governs their transverse dynamics. Combining annular shear cell experiments with discrete numerical simulations, we investigate how confinement, shear localization, granular temperature, and mixture composition control segregation in nonuniform...