Computational Fluid Dynamics (CFD) is a branch of fluid mechanics that uses numerical methods and computers to simulate and predict the behavior of liquids and gases. It is based on the fundamental governing equations of conservation of mass, momentum, and energy. CFD allows engineers and researchers to analyze fluid flow, heat transfer, mass transfer, and even chemical reactions in various engineering applications. By solving these equations computationally, complex real-world fluid problems can be studied without relying solely on physical experiments. The most common CFD solvers are: ANSYS Fluent, COMSOL Multiphysics, and STARCCM+. There are several open source tools as well that are robust and commonly used like OpenFOAM and SU2.
Turbulence in Jupiter Atmosphere. Source: Forbes
Turbulence modeling is a mathematical approach used in CFD to represent the complex, chaotic behavior of turbulent flows. Since directly resolving all turbulent scales (DNS) requires extremely high computational power, turbulence models provide simplified equations to approximate their effects. It is necessary because most real-life engineering flows—such as airflow over wings or flow inside pipes—are turbulent. By using turbulence models, we can achieve accurate predictions with practical computational cost.
Supersonic Flow Over an Airfoil . Source: ETH Zurich
High-speed aerodynamics studies fluid behavior at high velocities, particularly in transonic, supersonic, and hypersonic regimes where compressibility, shock waves, and strong temperature variations become significant. At these speeds, flow physics becomes highly nonlinear, and small design changes can drastically affect lift, drag, heating, and stability. CFD is essential in this context because experimental testing in wind tunnels or flight conditions is extremely expensive and sometimes limited. Through simulation, engineers can accurately predict shock interactions, aerodynamic heating, and performance, making CFD a critical tool in aerospace and high-speed vehicle design.
Deformation of Falling Water Droplet
Multiphase flows involve the simultaneous flow of two or more distinct phases, such as liquid–gas, liquid–solid, or gas–solid systems. These flows are common in many engineering applications, including droplet evaporation, bubbly flows, sprays, and boiling processes. In simulation, CFD is essential because the interaction between phases, such as interface dynamics, phase change, and mass transfer, is complex and difficult to capture experimentally. Modeling multiphase flows allows engineers to better predict performance, improve efficiency, and optimize systems in energy, aerospace, chemical, and environmental engineering applications.
Flapping Wing Simulation, classic case of FSI
Fluid–Structure Interaction (FSI) refers to the coupled interaction between a fluid flow and a solid structure, where the fluid affects the structure and the structural response in turn influences the fluid. This two-way coupling is important in many engineering systems such as aircraft wings, turbine blades, bridges, and biomedical devices. In simulation, FSI is needed because neglecting structural deformation can lead to inaccurate predictions of stresses, vibrations, or even failure. Using CFD coupled with structural analysis, engineers can predict realistic behavior, improve safety, and optimize designs under fluid loading conditions.
Hummingbird Flapping Locomotion. Source: YouTube
Biolocomotion refers to the movement of living organisms through fluids such as air or water, including swimming, flying, and microscopic propulsion. It studies how biological systems interact with surrounding fluid flow to generate thrust, lift, and propulsion efficiently. In simulation, CFD is used to understand complex flow patterns around wings, fins, or flexible bodies, which are often difficult to measure experimentally. This knowledge helps in developing bio-inspired engineering designs such as drones, underwater vehicles, and micro-robots.