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Mehran Masdari

Researcher at University of Tehran

Publications -  48
Citations -  272

Mehran Masdari is an academic researcher from University of Tehran. The author has contributed to research in topics: Airfoil & Angle of attack. The author has an hindex of 6, co-authored 41 publications receiving 166 citations. Previous affiliations of Mehran Masdari include Sharif University of Technology.

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Optimization of airfoil Based Savonius wind turbine using coupled discrete vortex method and salp swarm algorithm

TL;DR: In this paper, the optimization study of an airfoil type Savonius turbine is presented, focusing on maximizing the power coefficient of the turbine, using a Discrete Vortex Method (DVM) for calculating power coefficient, a Class Shape Transfer (CST) function code for generating coordinates of airfoils and a Salp Swarm Algorithm (SSA) code for optimization.
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Aerodynamic design of horizontal axis wind turbine with innovative local linearization of chord and twist distributions

TL;DR: In this paper, a new linearization method has been used for chord and twist distributions by crossing tangent line through different points on them and the results have determined the best point along chord and twisting distribution which has higher total power coefficient in the linearization process.
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Investigating the effect of geometrical parameters of an optimized wind turbine blade in turbulent flow

TL;DR: In this article, an ant colony optimization algorithm has been used to optimize the geometry of a wind turbine and also investigate the influence of geometrical parameters on the performance of the turbine in 1% and 8% turbulence intensities.
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Investigation of pitch damping derivatives for the Standard Dynamic Model at high angles of attack using neural network

TL;DR: In this paper, the response of the SDM under single frequency sinusoidal pitching motions is computed and the associated pitching moment coefficient damping is obtained using two methods of classical Fourier coefficients and multilayer perceptron (MLP) artificial neural network.
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The influence of oscillating trailing-edge flap on the dynamic stall control of a pitching wind turbine airfoil

TL;DR: In this article, a series of simulations are carried out to assess the viability of an oscillating deformable trailing-edge flap (DTEF) in load and dynamic stall (DS) control on a pitching wind turbine airfoil which experiences deep DS at Re