Welcome to this short video where we'll explore how regression analysis was employed to understand the aerodynamic characteristics of NACA 5-digit airfoils. In our study, we focused on 87 airfoil classes, using key predictors such as angle of attack, Reynolds number, optimal lift coefficient, maximum camber, airfoil thickness at the maximum camber, and maximum thickness position.
Our goal was to unravel the intricate relationships between these predictors and critical aerodynamic responses: lift coefficient (CL), drag coefficient (CD), profile drag coefficient (CDp), minimum pressure coefficient (Cpmin), and pitching moment coefficient (Cm). By leveraging regression analysis, we aimed to create predictive models that capture the complex interplay of factors influencing airfoil performance.
At the end of the video, you'll discover the practical side of our analysis – the deployment of these models.
No comments:
Post a Comment