Computation Fluid Dynamics

Computational Fluid Dynamics (CFD) is a branch of fluid mechanics that focuses on using numerical methods and algorithms to analyse and solve complex fluid flow problems. It involves simulating and visualizing the behaviour of fluids, which can include liquids and gases, as they interact with solid surfaces and other fluids. CFD has revolutionized the way engineers and scientists understand and predict fluid flow phenomena, making it an essential tool in various industries such as aerospace, automotive, energy, environmental engineering, and more.

The primary goal of CFD is to model the behaviour of fluid flows in different scenarios, ranging from the flow of air around an aircraft wing to the dispersion of pollutants in the atmosphere. Instead of relying solely on analytical solutions or costly experiments, CFD allows researchers to create virtual environments in which they can simulate fluid behaviour under different conditions.

CFD simulations involve solving a set of partial differential equations numerically. Various numerical methods, such as finite difference, finite volume, and finite element methods, are used to discretize the equations and solve them iteratively. The equations that govern fluid flow are the Navier-Stokes equations, which describe the conservation of mass, momentum, and energy. Depending on the complexity of the simulation, additional equations might be included to account for turbulence, heat transfer, and other factors. This capability not only saves time and resources but also enables engineers to explore a wider range of scenarios, providing insights that might not be achievable through experiments alone.