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Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system
Dielectric Discharge Barrier (DBD) plasma actuators are considered as one of the best active electro-hydrodynamic control devices, and are considered by many contemporary researchers. Here a simple electrostatic model, which is improved by authors, and uses the Maxwell’s and the Navier–Stokes equati...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606538/ https://www.ncbi.nlm.nih.gov/pubmed/33139820 http://dx.doi.org/10.1038/s41598-020-75419-5 |
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author | Omidi, Javad Mazaheri, Karim |
author_facet | Omidi, Javad Mazaheri, Karim |
author_sort | Omidi, Javad |
collection | PubMed |
description | Dielectric Discharge Barrier (DBD) plasma actuators are considered as one of the best active electro-hydrodynamic control devices, and are considered by many contemporary researchers. Here a simple electrostatic model, which is improved by authors, and uses the Maxwell’s and the Navier–Stokes equations, is proposed for massive optimization computations. This model is used to find the optimum solution for application of a dielectric discharge barrier on a curved surface of a DU25 wind turbine blade airfoil, in a range of 5–18 kV applied voltages, and 0.5 to 13 kHz frequency range. Design variables are selected as the dielectric thickness and material, and thickness and length of the electrodes, and the applied voltage and frequency. The aerodynamic performance, i.e. the lift to drag ratio of the wind turbine blade section is considered as the cost function. A differential evolution optimization algorithm is applied and we have simultaneously found the optimized value of both geometrical and operational parameters. Finally the optimized value at each voltage and frequency are sought, and the optimum aerodynamic performance is derived. The physical effect of each design variable on the aerodynamic performance is discussed. A design relation is proposed to recommend an optimum design for wind turbine applications. |
format | Online Article Text |
id | pubmed-7606538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76065382020-11-03 Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system Omidi, Javad Mazaheri, Karim Sci Rep Article Dielectric Discharge Barrier (DBD) plasma actuators are considered as one of the best active electro-hydrodynamic control devices, and are considered by many contemporary researchers. Here a simple electrostatic model, which is improved by authors, and uses the Maxwell’s and the Navier–Stokes equations, is proposed for massive optimization computations. This model is used to find the optimum solution for application of a dielectric discharge barrier on a curved surface of a DU25 wind turbine blade airfoil, in a range of 5–18 kV applied voltages, and 0.5 to 13 kHz frequency range. Design variables are selected as the dielectric thickness and material, and thickness and length of the electrodes, and the applied voltage and frequency. The aerodynamic performance, i.e. the lift to drag ratio of the wind turbine blade section is considered as the cost function. A differential evolution optimization algorithm is applied and we have simultaneously found the optimized value of both geometrical and operational parameters. Finally the optimized value at each voltage and frequency are sought, and the optimum aerodynamic performance is derived. The physical effect of each design variable on the aerodynamic performance is discussed. A design relation is proposed to recommend an optimum design for wind turbine applications. Nature Publishing Group UK 2020-11-02 /pmc/articles/PMC7606538/ /pubmed/33139820 http://dx.doi.org/10.1038/s41598-020-75419-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Omidi, Javad Mazaheri, Karim Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system |
title | Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system |
title_full | Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system |
title_fullStr | Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system |
title_full_unstemmed | Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system |
title_short | Differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system |
title_sort | differential evolution algorithm for performance optimization of the micro plasma actuator as a microelectromechanical system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7606538/ https://www.ncbi.nlm.nih.gov/pubmed/33139820 http://dx.doi.org/10.1038/s41598-020-75419-5 |
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