Title page for etd-0715125-142728


URN etd-0715125-142728 Statistics This thesis had been viewed 23 times. Download 0 times.
Author Ming-Le Yuan
Author's Email Address No Public.
Department Institute Of Mechanical Engineering
Year 2024 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 78
Title Flow Simulation of Automotive Rear Wings with High Aerodynamic Performance Airfoils
Keyword
  • Optimal angles of attack
  • Rear wing
  • Airfoil
  • Drag
  • Downforce
  • Downforce
  • Drag
  • Airfoil
  • Rear wing
  • Optimal angles of attack
  • Abstract This study aims to explore the feasibility of applying aircraft airfoils to the design of automotive rear wings. By introducing a variety of high-lift airfoils (S1223, Eppler 420, LNV 109a, Clark Y, NACA 6412, and GOE 652) and utilizing Computational Fluid Dynamics (CFD) simulation techniques, the aerodynamic performance of each airfoil was evaluated based on the downforce and drag generated at different angles of attack. The vehicle and rear wing models were constructed using SolidWorks, while XFoil was employed to determine the angle of attack of optimal lift-to-drag ratio for each airfoil. These models were then imported into ANSYS Fluent for flow field simulations. The simulation conditions were set to a vehicle speed of 120 km/h, and 13 different scenarios were comparedˇXincluding a baseline model without a rear wing and configurations using each airfoil at both 0 and their optimal angles of attack. The simulation results showed that the S1223 and Eppler 420 rear wing airfoils delivered excellent downforce efficiency at their optimal angles, with the Eppler 420 performing exceptionally well at a 7 angle of attack. It significantly enhanced vehicle stability while effectively controlling aerodynamic drag. This study validates the potential of integrating aviation airfoils into automotive aerodynamic design, offering a valuable reference for future vehicle performance optimization and safety improvement.
    Advisor Committee
  • Kun-Nan Chen - advisor
  • Feng-Chin Tsai - co-chair
  • Wei-Sin Gao - co-chair
  • Files indicate access worldwide
    Date of Defense 2025-06-26 Date of Submission 2025-07-15

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