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Numerous studies have proved the usefulness of surface patterning for the modification of tribological performances of sliding contacts. Here we investigate the effects of patterning on the tribological properties of a slider over a solid…

材料科学 · 物理学 2016-05-16 Rosario Capozza , Nicola Pugno

Using experiments and simulations, we study the flow of soft particles through quasi-two-dimensional hoppers. The first experiment uses oil-in-water emulsion droplets in a thin sample chamber. Due to surfactants coating the droplets, they…

软凝聚态物质 · 物理学 2017-12-14 Xia Hong , Meghan Kohne , Mia Morrell , Haoran Wang , Eric R. Weeks

Understanding the influence of surface roughness on drag forces remains a significant challenge in fluid dynamics. This paper presents a convolutional neural network (CNN) that predicts drag solely by the topography of rough surfaces and is…

The impact of turbulent fluctuations on the forces exerted by a fluid on a towed spherical particle is investigated by means of high-resolution direct numerical simulations. The measurements are carried out using a novel scheme to integrate…

流体动力学 · 物理学 2016-11-21 Holger Homann , Jérémie Bec , Rainer Grauer

A high-order flux reconstruction method coupled with a high-order sliding mesh method is applied to analyze the performance of a ducted wind turbine at a Reynolds number of $1.25\times 10^6$. To investigate the impacts of the duct, axial…

流体动力学 · 物理学 2021-06-03 Chi Ding , Bin Zhang , Chunlei Liang , Kenneth D. Visser , Guangming Yao

The current theories on the mechanism for polymer drag-reduction (DR) are generally applicable for long-chain flexible polymers that form viscoelastic solutions. Rigid polymer solutions that generate DR seemingly lack prevalent viscoelastic…

流体动力学 · 物理学 2021-11-03 Lucas Warwaruk , Sina Ghaemi

A method to infer and synthetically extrapolate roughness fields from electron microscope scans of additively manufactured surfaces using an adaptation of Rogallo's synthetic turbulence method [R. S. Rogallo, NASA Technical Memorandum…

计算机视觉与模式识别 · 计算机科学 2024-01-04 T. B. Keesom , P. P. Popov , P. Dhyani , G. B. Jacobs

Unmanned aerial vehicles (UAVs) are finding use in applications that place increasing emphasis on robustness to external disturbances including extreme wind. However, traditional multirotor UAV platforms do not directly sense wind;…

Direct numerical simulations of a low-pressure turbine with roughness elements distributed over the blade surface have been performed. A series of fifteen cases with varying roughness heights and streamwise wavenumbers are introduced to…

流体动力学 · 物理学 2026-01-23 Xianwen Zhu , Yuchen Ge , Yaomin Zhao , Zuoli Xiao , Richard D. Sandberg

We investigate the coupling effects of the two-phase interface, viscosity ratio, and density ratio of the dispersed phase to the continuous phase on the flow statistics in two-phase Taylor-Couette turbulence at a system Reynolds number of…

流体动力学 · 物理学 2024-09-12 Jinghong Su , Cheng Wang , Yi-bao Zhang , Fan Xu , Junwu Wang , Chao Sun

To study the Reynolds stresses which describe turbulent momentum transport from turbulence affected by large-scale shear and rotation. Three-dimensional numerical simulations are used to study turbulent transport under the influences of…

太阳与恒星天体物理 · 物理学 2009-11-19 J. E. Snellman , P. J. Käpylä , M. J. Korpi , A. J. Liljeström

This paper deals with the estimation of the performance and stability for a shrouded-fan unmanned rotorcraft whose mission profile also prescribes the flight in ground effect. The not so simple estimation of the aerodynamic coefficients and…

经典物理 · 物理学 2009-12-17 Nicola de Divitiis

Direct numerical simulation is used to study turbulent flow over irregular rough surfaces in the periodic minimal channel configuration. The generation of irregular rough surface is based on a random algorithm, in which the power spectrum…

流体动力学 · 物理学 2022-05-18 Jiasheng Yang , Alexander Stroh , Daniel Chung , Pourya Forooghi

The optimal design seeks the best possible solution(s) for a mechanical structure, device, or system, satisfying a series of requirements and leading to the best performance. In this work, optimized nozzle shapes have been designed for a…

流体动力学 · 物理学 2024-01-05 Tomas Schuller , Maziyar Jalaal , Paola Fanzio , Francisco J. Galindo-Rosales

Rubber friction is of major practical importance in applications such as tires, rubber seals, and footwear. This review article focuses on the theory and experimental studies of rubber friction on substrates with random roughness. We…

软凝聚态物质 · 物理学 2025-09-12 B. N. J. Persson , R. Xu

This study investigates a novel phenomenon of lift generation around a sphere by pneumatically manipulating its surface topology with an asymmetric roughness distribution. A comprehensive series of systematic experiments were conducted for…

流体动力学 · 物理学 2024-07-03 Rodrigo Vilumbrales-Garcia , Putu Brahmanda Sudarsana , Anchal Sareen

The purpose of this work is to investigate the flow around a fixed NACA0012 airfoil profile at different angles of attack using wall-resolved LES. The profile has a chord length of c=0.1 m and is exposed to a flow at a Reynolds number of…

流体动力学 · 物理学 2018-07-05 Larissa B. Streher

Pure theory recognizes the dependence of supersonic drag coefficients on both Mach number and Reynolds number, which includes an implicit dependence of drag coefficient on air density. However, many modern approaches to computing…

科普物理 · 物理学 2015-10-27 Elya Courtney , Amy Courtney , Michael Courtney

Surface roughness affects many properties of colloids, from depletion [1] and capillary interactions [2], to their dispersibility [3] and use as emulsion stabilizers [4]. It also impacts particle-particle frictional contacts, which have…

软凝聚态物质 · 物理学 2018-07-04 Chiao-Peng Hsu , Shivaprakash N. Ramakrishna , Michele Zanini , Nicholas D. Spencer , Lucio Isa

Turbulent flows consist of a wide range of interacting scales. Since the scale range increases as some power of the flow Reynolds number, a faithful simulation of the entire scale range is prohibitively expensive at high Reynolds numbers.…

流体动力学 · 物理学 2023-07-24 Dhawal Buaria , Katepalli R. Sreenivasan
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