Abstract
This paper presents an experimental, a numerical and a theoretical analysis of the performances of a fluidic vectoring device for controlling the direction of a turbulent, bi-dimensional and low Mach number (incompressible) jet flow. The investigated design is the co-flow secondary injection with Coanda surface, which allows for vectoring angles up to 25° with no need of moving mechanical parts. A simple empirical model of the vectoring process is presented and validated via experimental and numerical data. The experiments consist of flow visualization and image processing for the automatic detection of the jet centerline; the numerical simulations are carried out solving the Unsteady Reynolds Average Navier- Stokes (URANS) closed with the k - ω SST turbulence model, using the PisoFoam solver from OpenFOAM. The experimental validation on three different geometrical configurations has shown that the model is capable of providing a fast and reliable evaluation of the device performance as a function of the operating conditions.
Highlights
Controlling the direction of a jet flow is a crucial operation in several engineering applications
Such control is known as jet vectoring and can be mechanic, that is by means of movable surfaces, or aerodynamic, that is by means of a secondary injection or suction
Numerical and theoretical investigation of a co-flow Coanda fluidic design for the vectoring of a slot, incompressible jet has been presented. This design consists of a secondary injection, parallel to the primary, and a cylindrical surface to exploit the Coanda effect
Summary
Controlling the direction of a jet flow is a crucial operation in several engineering applications. Aerodynamic systems are light and simple to integrate, but their vectoring performance and controllability are limited to a relatively narrower range of operating conditions, which depends on the particular scheme adopted [8,9,10]. These systems, referred to as fluidic vectoring devices, exploit the interaction of the jet flow with adjacent secondary fluid streams and can be classified depending on how such interaction is generated
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