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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 predictions of flow patterns, pressure distributions, and heat transfer. CFD is widely applied in engineering and scientific fields to optimize designs and understand complex fluid behavior without physical experimentation.

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

Developers should learn CFD when working in industries like aerospace, automotive, energy, or environmental engineering, where simulating fluid dynamics is critical for design and analysis. It is used for tasks such as aerodynamic optimization of vehicles, thermal management in electronics, and pollution dispersion modeling, reducing the need for costly physical prototypes. Knowledge of CFD is valuable for roles involving simulation software development, scientific computing, or multidisciplinary engineering projects.

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