In this study, oscillations of an airfoil in a viscous, turbulent, and unsteady flow near a water surface have been numerically simulated to optimize the effect of geometric and oscillatory parameters on aerodynamic coefficients of airfoil. In this simulation, the Navier-Stokes equations are dissected using finite volume method with second-order accuracy and are solved by the Pimple-algorithm and the genetic algorithms in the surface response methodology (RSM) has are used for optimization. In the process of simulation, volume fractionation method has been used to predict the free surface of the flow. Comparing a part of the results of this simulation with numerical data for an oscillating airfoil near the ground confirms the accuracy of the investigation. This simulation is done in three reduced frequencies, three amplitudes and three flight altitudes. The results show that flight altitude is more effective on aerodynamic coefficients than two other parameters near the surface. Also, optimization done by surface response method and genetic algorithm, the results are shown airfoil in dimensionless flight altitude 0.539, reduced frequency 0.5 and dimensionless amplitude 0.025 create the optimal value of the ratio of the coefficient of lift to drag.
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Azargoon, Y., & Esmaeili far, E. (2019). Optimize motion characteristics of Oscillation Airfoil near the Water Surface using Genetic Algorithm and RSM. Fluid Mechanics & Aerodynamics, 8(1), 81-93.
MLA
Yeganeh Azargoon; Esmaeil Esmaeili far. "Optimize motion characteristics of Oscillation Airfoil near the Water Surface using Genetic Algorithm and RSM". Fluid Mechanics & Aerodynamics, 8, 1, 2019, 81-93.
HARVARD
Azargoon, Y., Esmaeili far, E. (2019). 'Optimize motion characteristics of Oscillation Airfoil near the Water Surface using Genetic Algorithm and RSM', Fluid Mechanics & Aerodynamics, 8(1), pp. 81-93.
VANCOUVER
Azargoon, Y., Esmaeili far, E. Optimize motion characteristics of Oscillation Airfoil near the Water Surface using Genetic Algorithm and RSM. Fluid Mechanics & Aerodynamics, 2019; 8(1): 81-93.
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