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Optimization of the Aerodynamic Performance of Tandem Airfoil Configurations at Low Reynolds Numbers

Ghaemi, Amir Hossein | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58261 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Ebrahimi, Abbas; Hajipour, Majid
  7. Abstract:
  8. In this study, the aerodynamic flow behavior in an low Reynolds number regime (Re = 1e3) around a tandem configuration is numerically investigated. In such conditions, the flow exhibits characteristics such as laminar behavior, separation bubbles, and high sensitivity to geometric parameters. Initially, using the finite volume method and solving the steady-state Navier–Stokes equations, the flow field around two consecutive airfoils was simulated. The aim of this step was to quantitatively and qualitatively examine the effects of spacing and angle of attack on flow characteristics, including pressure distribution and drag/lift coefficients. Subsequently, the numerical data were used to train an artificial neural network (ANN) in order to develop a fast and efficient surrogate model for flow approximation. The trained model was capable of accurately predicting flow responses and was utilized as a lightweight alternative to CFD solvers in optimization tasks. For geometric optimization, three different algorithms—FMINCON (gradient-based optimization), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) were implemented, and their performance was compared in terms of accuracy, convergence speed, and solution quality. The results demonstrated that combining data-driven modeling with intelligent optimization algorithms can significantly reduce computational cost while providing acceptable precision for aerodynamic design
  9. Keywords:
  10. Low Reynolds Number ; Laminar Flow ; Tandem Configuration ; Finite Volume Method ; Artificial Neural Network ; Genetic Algorithm ; Geometry Optimization ; Particles Swarm Optimization (PSO)

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