الفهرس 
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Abstract
Wind turbines harvest wind energy and transform it into electricity every day, offering a sustainable energy source. Wind energy plays a significant role as a sustainable and renewable energy source. In this thesis, one case of a composite material application is the wind turbine blade. This thesis illustrates how to use ANSYS to set up computational fluid dynamics and apply them to wind turbine blade CFD and structural analysis. The case study for this research was a Horizontal-Axis Wind Turbine (HAWT). General Electric’s (GE) 1.5 MW series of HAWT was examined using a finite element FE modeling approach. The one-way connection was subjected to a fluid-mechanical, Fluid-Structural interaction (FSI) investigation. The maximum distortion energy theory may be used to determine the maximum value of stress on a HAWT, and total deformation at various speeds was discovered to be at 7, 10, 12, 15, and 20 m/s. The shear stress transport (SST) k-ω turbulence was employed. Five composite materials were compared, including epoxy-S-glass, epoxy-E-glass, epoxy-carbon, Kevlar, and Technora. The obtained CFD results are compared with experimental data and the mathematical calculation of the GE1.5-xle turbine. The experimental conducted by (NREL) results, and mode shape values agreed reasonably well. The results show a good agreement between the velocity, power coefficient value, and the numerical simulation, and extract the pressure distribution results. The results showed that an increase in wind speed caused an increase in blade deformation and von Mises stresses acting on the HAWT blade. In addition, on the other hand, in laboratory experiments, tensile tests were conducted to determine the mechanical properties of the materials used in manufacturing the blade and making molds to manufacture the blade from different materials. The experiment was conducted on the turbine blade to calculate the stress applied to it in the laboratory, and it was compared with the numerical results obtained using the ANSYS program.