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A theoretical model is proposed to explain the roughness characteristics of an ice surface grown from a gravity and wind-driven supercooled water film flowing over an inclined plane. The effects of the water supply rate, plane slope and air…

流体动力学 · 物理学 2015-03-19 K. Ueno , M. Farzaneh

Numerical simulations of turbulent round jets, using explicit-filtered LES technique, are performed, for three different Reynolds numbers(Re = 3600, 88000, 400000), to understand the Reynolds number effect on subsonic jets with Mach number…

流体动力学 · 物理学 2017-11-22 Ramanathan Varadharajan

We make time resolved velocity measurements of steel spheres in free fall through liquid using a continuous ultrasound technique. We explore two different ways to induce large changes in drag on the spheres: 1) a small quantity of…

流体动力学 · 物理学 2009-11-13 Nicolas Lyotard , Woodrow Shew , Lydéric Bocquet , Jean-François Pinton

This paper focuses on a drag-reducing control strategy on a 2D-simulated laminar flow past a cylinder. Deep reinforcement learning algorithms have been implemented to discover efficient control schemes, using two synthetic jets located on…

流体动力学 · 物理学 2020-06-23 Romain Paris , Samir Beneddine , Julien Dandois

The present study provides a detailed description of the forces on an ellipsoidal particle in the vicinity of the rough wall. Three-dimensional numerical simulations are performed using body-fitted mesh to estimate the drag, lift, and…

流体动力学 · 物理学 2024-06-19 Atul Manikrao Bhagat , Partha Sarathi Goswami

A corrugated structure, rather than a smooth surface, is a characteristic feature of insect wings (e.g., dragonfly wings), which enhances their aerodynamic performance at low Reynolds numbers ($Re \simeq O(10^3)$). However, the mechanisms…

流体动力学 · 物理学 2025-03-18 Yusuke Fujita , Makoto Iima

Flow over bluff bodies has multiple engineering applications and thus, has been studied for decades. The lift and drag coefficients are practically important in the design of many components such as automobiles, aircrafts, buildings etc.…

流体动力学 · 物理学 2021-10-29 Shantanu Shahane , Purushotam Kumar , Surya Pratap Vanka

Large-eddy simulations are conducted to contrast momentum and passive scalar transport over large, three-dimensional roughness elements in a turbulent channel flow. Special attention is given to the dispersive fluxes, which are shown to be…

流体动力学 · 物理学 2019-10-09 Qi Li , Elie Bou-Zeid

We investigate drag reduction mechanisms in flows past two- and three-dimensional cylinders controlled by surface actuators using deep reinforcement learning. We investigate 2D and 3D flows at Reynolds numbers up to 8,000 and 4,000,…

流体动力学 · 物理学 2023-09-06 Michail Chatzimanolakis , Pascal Weber , Petros Koumoutsakos

Surface roughness significantly impacts transition to turbulence, especially over high-speed, blunt geometries where surface ablation is necessary to mitigate heat loads during atmospheric entry. Inspired by sand-grain roughness experiments…

流体动力学 · 物理学 2026-02-04 Sean Dungan , Mateus Braga , Robyn Macdonald , Christoph Brehm

This paper examines how increasing the value of the Reynolds number $Re$ affects the ability of spanwise-forcing techniques to yield turbulent skin-friction drag reduction. The considered forcing is based on the streamwise-travelling waves…

流体动力学 · 物理学 2016-08-24 Davide Gatti , Maurizio Quadrio

In this work, we present the results of a ship propeller design optimization campaign carried out in the framework of the research project PRELICA, funded by the Friuli Venezia Giulia regional government. The main idea of this work is to…

计算工程、金融与科学 · 计算机科学 2019-05-24 Andrea Mola , Marco Tezzele , Mahmoud Gadalla , Federica Valdenazzi , Davide Grassi , Roberta Padovan , Gianluigi Rozza

This paper addresses the problem of thrust estimation and control for the rotors of small-sized multirotors Uncrewed Aerial Vehicles (UAVs). Accurate control of the thrust generated by each rotor during flight is one of the main challenges…

机器人学 · 计算机科学 2024-12-05 Davi Santos , Martin Saska , Tiago Nascimento

Soft drop, a technique originally developed in the context of jet physics in proton-proton collisions in order to reduce the contamination from non-perturbative effects, is applied to event shapes in electron-positron annihilation. In…

高能物理 - 唯象学 · 物理学 2019-06-27 Jeremy Baron , Simone Marzani , Vincent Theeuwes

Machine learning has recently become a promising technique in fluid mechanics, especially for active flow control (AFC) applications. A recent work [J. Fluid Mech. (2019), vol. 865, pp. 281-302] has demonstrated the feasibility and…

流体动力学 · 物理学 2021-03-22 Feng Ren , Jean Rabault , Hui Tang

The application of unmanned aerial vehicles (UAVs) is surging across several industries, paralleled by growing demand for these UAVs. However, the noise emitted by UAVs remains a significant impediment to their widespread use even though in…

流体动力学 · 物理学 2025-03-18 Suryansh Prakhar , Jung-Hee Seo , Rajat Mittal

Boundary layer transition triggered by a discrete roughness element generates a turbulent wedge that spreads laterally as it proceeds downstream. Historical literature reports the spreading half angle is approximately 6$^{\circ}$ in…

流体动力学 · 物理学 2024-07-19 Alexandre R. Berger , Edward B. White

Super Hydrophobic (SH) coatings are widely used to mitigate drag in various applications. Numerous studies have demonstrated that the beneficial wall-slip effect produced by these materials disappears in laminar flow regimes. The main…

Shearing and rotational forces in fluids can significantly alter the transport of momentum.A numerical investigation was undertaken to study the role of these forces using plane Couette flow subject to rotation about an axis perpendicular…

流体动力学 · 物理学 2015-06-23 Matthew Salewski , Bruno Eckhardt

Autonomous drone navigation faces a critical challenge in achieving accurate landings on dynamic platforms, especially under unpredictable conditions such as wind turbulence. Our research introduces TornadoDrone, a novel Deep Reinforcement…

机器人学 · 计算机科学 2024-06-26 Robinroy Peter , Lavanya Ratnabala , Demetros Aschu , Aleksey Fedoseev , Dzmitry Tsetserukou