Learn how to engage students in aerodynamics and enhance their understanding of fundamental concepts in aerodynamics, specifically for high-speed applications.

Overview

Investigating an external flow past an airfoil at high flying speed has always been fascinating and challenging to humans in general and engineers in particular. The strong need for computational solutions has arisen as conducting experiments to capture underlying flow physics is costly, complex, and time-consuming. Further, the data acquisition and flow visualization techniques are complex and limited.

Join this webinar in which we will use Ansys Fluent, a powerful computational fluids dynamics software, that makes it easy to predict and visualize accurate flow physics under various circumstances. We will perform state simulations over a NACA 0012 airfoil for a wide range of Mach numbers and compare them with the existing literature to show the accuracy of the simulations. This can be a starting point for engaging mechanical, aeronautical, and aerospace engineering students to understand the fundamental concepts associated with external aerodynamics and visualize the shock formation and drag divergence phenomenon.

What Attendees Will Learn

  • How to engage students on topics and concepts associated with high-speed aerodynamics, and available resources
  • How to describe the effect of mixed flow patterns and associated complications
  • Phenomenon of shock-stall, critical Mach number, drag divergence Mach number and shock wave attachment Mach number
  • Understand the effect of shock formation on pressure distribution and other aerodynamic characteristics

Who Should Attend

Educators teaching mechanical, aeronautical, aerospace engineering departments involving external flows and aerodynamics. Additionally, engineers from the aviation industry and students interested in these topics will find value.

 

Speakers:                                                                        Time: 16:00 CET                                   Register Here

– Ravindra Shirsath
– Nicolas Martin