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We present novel numerical simulations investigating the evolution of liquid droplets into bag-like structures in turbulent airflows. The droplet bag breakup problem is of significance for many multiphase processes in scientific and…

流体动力学 · 物理学 2025-01-29 Kaitao Tang , Thomas A. A. Adcock , Wouter Mostert

Small-scale liquid flows on solid surfaces provide convincing details in liquid animation, but they are difficult to be simulated with efficiency and fidelity, mostly due to the complex nature of the surface tension at the contact front…

图形学 · 计算机科学 2018-11-07 Rajaditya Mukherjee , Qingyang Li , Zhili Chen , Shicheng Chu , Huamin Wang

Small droplets in turbulent flows can undergo highly variable deformations and orientational dynamics. For neutrally buoyant droplets smaller than the Kolmogorov scale, the dominant effects from the surrounding turbulent flow arise through…

流体动力学 · 物理学 2015-02-13 Luca Biferale , Charles Meneveau , Roberto Verzicco

Small-scale turbulence can be comprehensively described in terms of velocity gradients, which makes them an appealing starting point for low-dimensional modeling. Typical models consist of stochastic equations based on closures for…

流体动力学 · 物理学 2024-03-01 Maurizio Carbone , Vincent J. Peterhans , Alexander S. Ecker , Michael Wilczek

Predicting particle-laden flows requires accurate fluid force models. However, a reliable particle force model for finite-size particles in turbulent flows remains lacking. In the present work, a fluid force model for a finite-size…

流体动力学 · 物理学 2025-05-29 Yuqi Wang , Ruifeng Hu

Direct numerical simulations (DNS) of microscale fluid-structure interactions (mFSI) in multicomponent multiphase flows pose many challenges, including the thermodynamic consistency of multiphysics couplings, tracking of moving interfaces,…

流体动力学 · 物理学 2025-08-08 Min Gao , Zhihao Li , Xinpeng Xu

Understanding multiphase flows is vital to addressing some of our most pressing human needs: clean air, clean water and the sustainable production of food and energy. This article focuses on a subset of multiphase flows called…

流体动力学 · 物理学 2020-07-24 Shankar Subramaniam

This investigation is based on a DNS of a steady self-preserving incompressible axisymmetric turbulent jet at a Reynolds number of 2400. The DNS data enable accurate maps of the outer irrotational flow field, and also the vorticity field in…

流体动力学 · 物理学 2019-07-15 Prasanth Prabhakaran , Sachin Shinde , Roddam Narasimha

Simulation of fluid flow in porous media has many applications, from the micro-scale (cell membranes, filters, rocks) to macro-scale (groundwater, hydrocarbon reservoirs, and geothermal) and beyond. Direct simulation of flow in porous media…

流体动力学 · 物理学 2020-04-27 Ying Da Wang , Traiwit Chung , Ryan T. Armstrong , Peyman Mostaghimi

Results of direct numerical simulations and laboratory experiments have been used in order to show that the buoyancy driven bubbly flows at high gas volume fraction are mixed by deterministic chaos with typical exponential spectrum of the…

流体动力学 · 物理学 2022-04-29 A. Bershadskii

Fluid turbulence is characterized by strong coupling across a broad range of scales. Furthermore, besides the usual local cascades, such coupling may extend to interactions that are non-local in scale-space. As such the computational…

Liquid-droplet coalescence and the mergers of liquid lenses are problems of great practical and theoretical interest in fluid dynamics and the statistical mechanics of multi-phase flows. During such mergers, there is an interesting and…

流体动力学 · 物理学 2024-10-08 Vasanth Kumar Babu , Nadia Bihari Padhan , Rahul Pandit

The high-speed impact of a droplet onto a flexible substrate is a highly nonlinear process of practical importance which poses formidable modelling challenges in the context of fluid-structure interaction. We present two approaches aimed at…

流体动力学 · 物理学 2021-05-17 Michael J. Negus , Matthew R. Moore , James M. Oliver , Radu Cimpeanu

A spherical droplet is given an initial rotation in the streamwise direction and is impulsively accelerated by a uniform free stream. Numerical results for the deformation and dynamics of the droplet are obtained by utilising a finite…

流体动力学 · 物理学 2010-10-21 Eric K. W. Poon , Shaoping Quan , Jing Lou , Andrew S. H. Ooi

Numerical simulations of turbulent channel flows, with or without additives, are limited in the extent of the Reynolds number \Re and Deborah number \De. The comparison of such simulations to theories of drag reduction, which are usually…

混沌动力学 · 物理学 2009-11-13 Roberto Benzi , Emily S. C. Ching , Elisabetta De Angelis , Itamar Procaccia

Using clean numerical simulation (CNS) in which artificial numerical noise is negligible over a finite, sufficiently long interval of time, we provide evidence, for the first time, that artificial numerical noise in direct numerical…

流体动力学 · 物理学 2025-04-11 Shijun Liao , Shijie Qin

Two-way coupled DNS simulation of particle-laden turbulent Couette-flow [1], in the volume fraction regime $\phi>10^{-4}$, showed a discontinuous decrease of turbulence intensity beyond a critical volume fraction…

流体动力学 · 物理学 2022-04-04 Swagnik Ghosh , Partha Sarathi Goswami

Spray impacts occur in several environmental and technical applications. The impact of droplets at different angles onto walls covered with a thin film of the same liquid can be regarded as an elementary process here. Direct Numerical…

流体动力学 · 物理学 2023-11-30 Jonathan Lukas Stober , Johanna Potyka , Matthias Ibach , Bernhard Weigand , Kathrin Schulte

Turbulence has associated chaotic features. In the past couple of decades there has been growing interest in the study of these features as an alternative means of understanding turbulent systems. Our own input to this effort has been in…

流体动力学 · 物理学 2024-09-04 Richard D. J. G. Ho , Daniel Clark , Arjun Berera

Numerical methods for the simulation of cavitation processes have been developed for more than 50 years. The rich variety of physical phenomena triggered by the collapse of a bubble has several applications in medicine and environmental…

流体动力学 · 物理学 2024-04-30 Mandeep Saini , Lucas Prouvost , Stephane Popinet , Daniel Fuster