Computational Fluid Dynamics (CFD) is a powerful branch of fluid mechanics that uses numerical methods and algorithms to analyze, simulate, and visualize the behavior of fluids such as liquids, gases, and plasmas. Instead of relying solely on physical experiments or analytical equations, CFD allows engineers and scientists to study complex flow patterns on computers, making it an essential tool across disciplines like aerospace engineering, automotive design, weather forecasting, energy systems, biomedical research, and marine engineering. By solving the governing equations of fluid flow—primarily the Navier–Stokes equations—CFD enables the prediction of fluid motion, heat transfer, turbulence, chemical reactions, and multiphase interactions with remarkable detail and accuracy. As computational power continues to grow, CFD has evolved into one of the most influential technologies for modern engineering innovation and scientific discovery.
At the core of CFD lies the numerical approximation of differential equations that describe how fluids behave under varying conditions. These equations consider…