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DESIGN OPTIMIZATION OF WIND TURBINE USING FLUID STRUCTURAL INTERACTION ANALYSIS GENETIC ALGORITHM

机译:基于流体结构相互作用和遗传算法的风轮机优化设计。

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Aerodynamics of wind turbine blade is an important field of research. In the present study, a multi stage optimization process has been evaluated on a baseline wind turbine blade. Genetic Algorithms (GAs) are applied as a generative and search procedure to look for optimized design solutions in terms of aerodynamic performance of the airfoil selected for the study. The MatLab Genetic Algorithm toolbox interfaced with Xfoil, an interactive program for the design and analysis of airfoils, was implemented for the profile design optimisation. To analyse the performance of the optimized profile, the ANSYS Fluent toolbox was used to conduct the 3D computational fluid dynamics analysis of a section of the wind turbine blade before and after optimization. The total deformation and Von-Mises stress of the wind turbine blade caused due to Fluid-Structure Interaction is analysed using the ANSYS simulation software.
机译:风力涡轮机叶片的空气动力学是重要的研究领域。在本研究中,已在基准风力涡轮机叶片上评估了多阶段优化过程。遗传算法(GA)被用作生成和搜索程序,以根据为研究选择的机翼的空气动力学性能寻找优化的设计解决方案。 MatLab遗传算法工具箱与Xfoil(用于机翼设计和分析的交互式程序)接口,用于优化外形设计。为了分析优化轮廓的性能,ANSYS Fluent工具箱用于在优化前后对风力涡轮机叶片的一部分进行3D计算流体动力学分析。使用ANSYS仿真软件分析了由于流体-结构相互作用而引起的风力涡轮机叶片的总变形和冯-密斯应力。

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