Statics and dynamics of a viscous ligament drawn out of a pure-liquid bath

Wei, Xiaofeng; Rivero-Rodriguez, Javier; Zou, Jun; Scheid, Benoît

doi:10.1017/jfm.2021.505

Cited by 10 publications

(4 citation statements)

References 63 publications

(91 reference statements)

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“…Unlike these alternatives, the ALE approach ensures an exact capture of the free surface, akin to the Lagrangian approach, while retaining the primary advantage of Eulerian methods that mesh elements are less prone to distortion. Consequently, it has gained widespread use in predicting the dynamics of free-surface flows across various phenomena such as droplet dynamics (Chubynsky et al 2020;Chakraborty, Chubynsky & Sprittles 2022), dynamics of a ligament (Wei et al 2021), jet breakup (Martínez-Calvo et al 2020b) and the instability of planar films (González et al 2016;Moreno-Boza, Martínez-Calvo & Sevilla 2020b). However, it is worth noting that this method is not suitable for scenarios where the topology of the domain might change, such as in cases involving fluids inside the film after rupture.…”

Section: Direct Numerical Simulationsmentioning

confidence: 99%

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Inertia and slip effects on the instability of a liquid film coated on a fibre

Zhao,

Qiao,

et al. 2024

J. Fluid Mech.

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To investigate the influence of inertia and slip on the instability of a liquid film on a fibre, a theoretical framework based on the axisymmetric Navier–Stokes equations is proposed via linear instability analysis. The model reveals that slip significantly enhances perturbation growth in viscous film flows, whereas it exerts minimal influence on flows dominated by inertia. Moreover, under no-slip boundary conditions, the dominant instability mode of thin films remains unaltered by inertia, closely aligning with predictions from a no-slip lubrication model. Conversely, when slip is introduced, the dominant wavenumber experiences a noticeable reduction as inertia decreases. This trend is captured by an introduced lubrication model with giant slip. Direct numerical simulations of the Navier–Stokes equations are then performed to further confirm the theoretical findings at the linear stage. For the nonlinear dynamics, no-slip simulations show complex vortical structures within films, driven by fluid inertia near surfaces. Additionally, in scenarios with weak inertia, a reduction in the volume of satellite droplets is observed due to slip, following a power-law relationship.

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Section: Direct Numerical Simulationsmentioning

confidence: 99%

“…2020; Chakraborty, Chubynsky & Sprittles 2022), dynamics of a ligament (Wei et al. 2021), jet breakup (Martínez-Calvo et al. 2020 b ) and the instability of planar films (González et al.…”

Section: Direct Numerical Simulationsmentioning

confidence: 99%

Inertia and slip effects on the instability of a liquid film coated on a fibre

Zhao,

Qiao,

et al. 2024

J. Fluid Mech.

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show abstract

“…Unlike these alternatives, the ALE approach ensures an exact capture of the free surface, akin to the Lagrangian approach, while retaining the primary advantage of Eulerian methods that mesh elements are less prone to distortion. Consequently, it has gained widespread use in predicting the dynamics of free-surface flows across various phenomena such as droplet dynamics (Chubynsky et al 2020;Chakraborty et al 2022), dynamics of a ligament (Wei et al 2021), jet breakup (Martínez-Calvo et al 2020b) and the instability of planar films (González et al 2016;Moreno-Boza et al 2020b). However, it is worth noting that this method is not suitable for scenarios where the topology of the domain might change, such as in cases involving fluids inside the film after rupture.…”

Section: Direct Numerical Simulationsmentioning

confidence: 99%

Infectious Hospital Area, the First Affiliated Hospital of University of Science and Technology of China, Hefei, China

Zhao¹,

Hu²,

Xue³

et al. 2021

BEBM

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With advances in deep learning, neural network based speech enhancement (SE) has developed rapidly in the last decade. Meanwhile, the self-supervised pre-trained model and vector quantization (VQ) have achieved excellent performance on many speech-related tasks, while they are less explored on SE. As it was shown in our previous work that utilizing a VQ module to discretize noisy speech representations is beneficial for speech denoising, in this work we therefore study the impact of using VQ at different layers with different number of codebooks. Different VQ modules indeed enable to extract multiplegranularity speech features. Following an attention mechanism, the contextual features extracted by a pre-trained model are fused with the local features extracted by the encoder, such that both global and local information are preserved to reconstruct the enhanced speech. Experimental results on the Valentini dataset show that the proposed model can improve the SE performance, where the impact of choosing pre-trained models is also revealed.

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“…[16][17][18] With the assumption of the bridge top attached to the edge of the probe, it was concluded that the remnant droplet rst increases and then decreases with stretching velocity. 19 Nevertheless, receding of the contact line was observed in dipping experiments and the results showed that the remnant volume remains constant at a high stretching velocity. 20 As a result, the contact line state has an important effect on the volume transfer of a conical liquid bridge.…”

Section: Introductionmentioning

confidence: 97%