Effects of corona discharges on a turbulent air flow: Simulation on a high-lift system

Mehalaine, K.; Semmar, Djaffar; Messaoudene, Noureddine Ait; Bauchire, Jean-Marc; Hong, Dunpin

doi:10.1016/j.elstat.2015.05.027

Cited by 1 publication

(1 citation statement)

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“…In comparison, forced convection heat transfer enhancement using a coaxial wire-tube corona system was numerically analyzed in [15], where the proposed corona system could change the flow pattern pushing the central high-velocity flow towards the hot surface. Mehalaine et al [16] evaluated the effects of corona discharges on a wing and flap system via numerical simulation. They indicated that the numerical outcomes of the high lift system show a remarkable increase of the lift coefficients between the angles of attack of 1.8 o and 6 o and a delay of the boundary layer separation.…”

Section: Simulation Of Corona Dischargementioning

confidence: 99%

Investigation of the Corona Discharge Problem Based on Different Computational Approaches of Dimensional Analysis

Oladigbolu

Rushdi

2020

JERR

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Although corona discharge is notorious for its detrimental effects, it is also used in many beneficial practical applications. Despite the existence of a variety of sophisticated theoretical and experimental methods for investigating corona discharge, we explore yet a much simpler method that relies on the use of Dimensional Analysis (DA). The DA method does not demand profound knowledge of the underlying phenomenon or its governing equations, as it only needs the correct identification of the variables influencing the phenomenon, and the specification of their physical dimensions. The classical and well-known Gauss-Jordan elimination method is compared with other matrix-oriented computational approaches in analyzing the pertinent dimensional system. This method relies upon solution-preserving elementary row operations, i.e., operations that one can use on a matrix without spoiling the solution set for an associated matrix equation. A distinct advantage of this method is that it does not pre-suppose a particular value of the matrix rank but tackles the task of determining this rank while proceeding towards its ultimate result. Moreover, this method can also be used to find the inverse of a regular (invertible) matrix or to determine the solution (if any) of a system of linear equations. As a bonus, novel results of numerical investigations of bases, regimes, and dimensionless products are extensively presented in this paper. A remarkable observation made herein is that the set of variables pertinent for a particular phenomenon cannot be arbitrarily partitioned into basis (input) variables and regime (output or isolated) variables. The paper running example deals with expressing a specific variable, viz. ozone generation rate per unit length of wire (r0) through dimensionless products in terms of a set of determining or influencing variables.

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Section: Simulation Of Corona Dischargementioning

confidence: 99%