Particle inertia significantly enhances the orientation fluctuations of non-spherical atmospheric particles settling in still and turbulent air, in contrast to the monotonic alignment observed in liquids.
The study demonstrates a precisely controllable and reproducible numerical framework to investigate the mechanisms responsible for the polydispersity of drop sizes found in complex fluid fragmentation scenarios.
자기장 방향에 따라 막비등 유동 패턴과 열전달 특성이 달라지며, 수직 자기장은 등방성 유동을, 수평 자기장은 비등방성 유동을 유발한다.
The study investigates the impact of vertical and horizontal magnetic fields on the dynamics and heat transfer characteristics of three-dimensional film boiling on a horizontal surface.
Deep reinforcement learning can be leveraged to optimize the placement of synthetic jets on circular and square cylinders, achieving an ideal balance between energy efficiency and control effectiveness.
Deep reinforcement learning-based synthetic jet actuation can effectively suppress vortex shedding and reduce drag in elliptical cylinders with aspect ratios ranging from 1 to 0.1, with energy-efficient control strategies.
The increase of flow rarefaction continuously alters the flow pattern of the shock-shock interaction, in which the wave system gradually loses the abilities to deflect the streamlines or to concentrate the energy in the flow. As the flow becomes more rarefied, the shock-shock interaction will result in smaller augmentation factors and less angular shifts of the peak aerodynamic/aerothermal loads.
Computational fluid dynamics (CFD) simulations were used to investigate the effects of surface roughness on boundary layer transition for a blunt cone at Mach 6 conditions, with the goal of validating and extending the experimental findings of Stetson.
본 연구는 대와류 시뮬레이션(LES) 기술과 확률적 와류 방법을 통합하여 비압축성 점성 유동을 효율적으로 시뮬레이션하는 수치 방법을 개발하였다.
A numerical method is developed for simulating incompressible viscous flows by integrating the random vortex method with the core idea of Large Eddy Simulation (LES), which allows for efficient computation of numerical solutions via Monte-Carlo methods.