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Related Experiment Video

Updated: Dec 2, 2025

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
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Differential evolution algorithm for performance optimization of the micro plasma actuator as a

Javad Omidi1, Karim Mazaheri2

  • 1Aerospace Engineering Department, Sharif University of Technology, Tehran, Iran.

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|November 3, 2020
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Summary

This study optimizes dielectric discharge barrier (DBD) plasma actuators for wind turbine blades using an electrostatic model. The research identifies optimal design and operational parameters to enhance aerodynamic performance, specifically the lift-to-drag ratio.

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Area of Science:

  • Aerospace Engineering
  • Plasma Physics
  • Fluid Dynamics

Background:

  • Dielectric Discharge Barrier (DBD) plasma actuators are advanced electro-hydrodynamic control devices.
  • Optimization of DBD actuators for wind turbine applications requires sophisticated modeling.

Purpose of the Study:

  • To develop and apply an improved electrostatic model for optimizing DBD plasma actuators on wind turbine airfoils.
  • To determine optimal geometrical and operational parameters for enhanced aerodynamic performance.

Main Methods:

  • Utilized an improved electrostatic model integrating Maxwell's and Navier-Stokes equations.
  • Employed a differential evolution optimization algorithm to find optimal design variables.
  • Investigated a range of applied voltages (5-18 kV) and frequencies (0.5-13 kHz).

Main Results:

  • Identified optimal dielectric thickness, material, electrode dimensions, voltage, and frequency for a DU25 airfoil.
  • Achieved simultaneous optimization of geometrical and operational parameters.
  • Derived optimal aerodynamic performance (lift-to-drag ratio) across various voltage and frequency settings.

Conclusions:

  • The proposed model effectively optimizes DBD actuator designs for wind turbine blades.
  • A design relation is proposed to guide future wind turbine applications.
  • Understanding the physical effects of design variables is crucial for performance enhancement.