Computational Fluid Dynamics

What is Computational Fluid Dynamics?
Computational Fluid Dynamics (CFD) is a branch of physics that studies the mechanics of liquids: liquids, plasmas, and gases and the forces that act on them. CFG is based on Navier stroke equations, which describe how the pressure, speed, density and temperature of a moving fluid behave. It uses numerical methods, mathematical modeling, and software tools to solve and analyze problems involving fluid flows, and utilizes the latest computer hardware and elegant programming techniques to model and simulate liquid and gas interactions with surfaces as defined by boundary conditions. This gives insight into flow patterns that would be difficult, expensive, or impossible to study using traditional techniques.

Computational Fluid Dynamics is a branch of fluid mechanics that uses various algorithms and numerical analysis to analyze and solve problems with fluid flow. The focus is on the use of computers and data modeling to simulate and analyze how a liquid flows in relation to a surface. Real world applications include analyzing airflow for an aerodynamic aircraft design or analyzing the hydrodynamic properties of a boat hull, industrial design of oil and water pipelines, and much more.

However, a CFD simulation does not provide a 100 percent reliable result due to inaccuracies or far-fetched assumptions about the entered data. Mathematical models of the problem at hand can also be inadequate, and the accuracy of the results is limited by the computing power available.


Defined physical boundaries of the problem

The volume is defined by the boundaries, which are divided into cells or networks

- Physical modeling defines: the equations of motion, radiation, enthalpy and species protection

- Defined boundary conditions

- The simulation is started

- Data analysis and visualization carried out

The main components of a CFD design cycle are as follows:

- Analyst - indicates the problem to be solved

- Model and methods - expressed mathematically

- Software - embodies knowledge and provides algorithms

- Computer hardware - for actual calculations and an analyst must review and interpret the simulation results

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