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Computational Fluid Dynamics

Computational Fluid Dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and algorithms to solve and analyze problems involving fluid flows. It simulates the interaction of liquids and gases with surfaces defined by boundary conditions, enabling engineers to predict fluid behavior, heat transfer, and related phenomena in complex systems. CFD is widely applied in industries such as aerospace, automotive, and energy for design optimization and performance analysis.

Also known as: CFD, Computational Fluid Dynamics CFD, Fluid Simulation, Numerical Fluid Dynamics, CFD Analysis
🧊Why learn Computational Fluid Dynamics?

Developers should learn CFD when working on projects involving fluid dynamics simulations, such as aerodynamic design in aerospace, engine combustion analysis in automotive, or environmental flow studies in civil engineering. It is essential for roles in engineering software development, scientific computing, or industries requiring predictive modeling of fluid systems, as it reduces the need for costly physical prototypes and enables virtual testing.

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