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Acceleration Convergence of New Gradient-based Aerodynamic Optimization Algorithms

Taheri, Ramin | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42639 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Mazaheri, Karim
  7. Abstract:
  8. Aerodynamic shape optimization has been always of great importance in aerospace design. Recent advancements in computational algorithms and hardware, has made it feasible to have advanced optimization as a standard part of desing procedure. Here we have promoted aerodynamic optimization in three different applications, i. e., wing-body configuration, hydro propellers, and air propellers. First we have reviewed fluidic theoretical aspects, and have selected appropriate physical models or existing softwares. Accuracy of physical analysis or software is validated. Then different optimization algorithms are reviewed, and schemes used in this thesis are described and the softwares are validated. Finally these schemes are applied first to an unmanned aerial vehicle, and its wing shape optimized to give nearly forthy percent better CL/CD. These algorithms are applied to two different experimental hydro propellers to increase the efficiency of one of them by nearly eight percent and decrease the torque coefficient for the other one about fourteen percent. Moreover, similar procedure is applied to an air propeller to optimize its efficiency by nearly eight percent. All these activities are perforemed on a serial computing desktop in a time of about 30 minutes for gradient optimization and 320 minutes for Genetic algorithm
  9. Keywords:
  10. Optimization ; Genetic Algorithm ; Unmanned Aerial Vehicles (UAV) ; Gradient Based Method ; Marine Propulsion ; Air Propeller

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