Zero-lift drag coefficient
About: Zero-lift drag coefficient is a research topic. Over the lifetime, 1501 publications have been published within this topic receiving 22241 citations.
Papers published on a yearly basis
01 Feb 1984
TL;DR: In this paper, a basic ground vehicle type of bluff body, the time averaged wake structure is analyzed for low and high wake flow for the low drag and high drag configurations is described.
Abstract: For a basic ground vehicle type of bluff body, the time averaged wake structure is analysed. At a model length based reynolds number of 4.29 million, detailed pressure measurements, wake survey and force measurements were done in a wind tunnel. Some flow visualisation results were also obtained. Geometric parameter varied was base slant angle. A drag breakdown revealed that almost 85% of body drag is pressure drag. Most of this drag is generated at the rear end. Wake flow exhibits a triple deck system of horseshoe vortices. Strength, existence and merging of these vortices depend upon the base slant angle. Characteristic features of the wake flow for the low drag and high drag configurations is described. Relevance of these phenomena to real ground vehicle flow is addressed.
01 Jun 1965
TL;DR: Fluid-dynamic drag: practical information on aerodynamic drag and hydrodynamic resistance, Fluid-dynamics drag as discussed by the authors, Fluid dynamic drag: real-time information about aerodynamic and hydrodyynamic resistance.
Abstract: Fluid-dynamic drag: practical information on aerodynamic drag and hydrodynamic resistance , Fluid-dynamic drag: practical information on aerodynamic drag and hydrodynamic resistance , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
01 Aug 1979
TL;DR: In this paper, the authors discuss the production of Thrust Airplane Performance Helicopters and V/STOL Aircraft Static Stability and Control Open-Loop DSC Controlled Motion and Automatic Stability.
Abstract: Fluid Mechanics Lift Drag Lift and Drag at High Mach Numbers The Production of Thrust Airplane Performance Helicopters and V/STOL Aircraft Static Stability and Control Open-Loop Dynamic Stability and Control Controlled Motion and Automatic Stability.
TL;DR: In this article, the authors define the terms rotor disk area, sectional drag coefficient, and zero-lift drag coefficient for rotor disk areas, where the sectional coefficient is defined as the ratio of the area of the rotor disk to the length of the chord length.
Abstract: Nomenclature Ar = rotor disk area CD = sectional drag coefficient CD0 = zero-lift drag coefficient Clα = lift-curve slope CP = power coefficient CPi = induced power coefficient CP0 = profile power coefficient CT = thrust coefficient c = chord length D = drag force D.L . = disk loading L = lift force m = mass P.L . = power loading SF = separated flow T = rotor thrust V = local wind velocity perceived by flap W = weight W f = final weight Wo = gross takeoff weight α = blade section angle of attack η = efficiency μ = dynamic viscosity ρ = air density σ = rotor solidity = flapping amplitude (peak to peak)
TL;DR: In this paper, the authors derived and validated a new framework to predict the drag and lift coefficients as well as the torque coefficients for four non-spherical particle shapes in a flow with a wide range of flow Re and rotational Re numbers.
Abstract: This paper derives and validates a new framework to predict the drag and lift coefficients as well as the torque coefficients for four non-spherical particle shapes in a flow with a wide range of flow Re and rotational Re numbers. Correlations are proposed for the drag force, the lift force, the pitching torque, and the torque caused by the rotation of the particle. Each of the correlations depends on Re number, the dimensionless rotation and the angle of incidence between the particle and the direction of the local fluid velocity. The fit parameters in the correlations for each of the particle shapes are determined by performing a large number of “true” DNS simulations of four different types of particles. The true DNS simulations are carried out with an improved mirroring immersed boundary method. The resulting correlations for the forces and the torques are suitable to be used in Eulerian–Lagrangian simulations, where an accurate prediction of the forces and torques is required to determine the motion of the particles.
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