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Computational fluid dynamics - Printable Version +- MKLab (https://mklab.gr) +-- Forum: [INDEX] (https://mklab.gr/forumdisplay.php?fid=1) +--- Forum: MATHEMATICS (https://mklab.gr/forumdisplay.php?fid=3) +---- Forum: ARTICLES (https://mklab.gr/forumdisplay.php?fid=13) +----- Forum: APPLIED MATHEMATICS (https://mklab.gr/forumdisplay.php?fid=153) +----- Thread: Computational fluid dynamics (/showthread.php?tid=1929) |
Computational fluid dynamics - mklabgr - 09-10-2026 Maths in a Minute: Computational Fluid Dynamics Source:Plus Magazine Computational fluid dynamics (CFD) is the use of numerical methods and computers to approximate the behaviour of moving fluids such as air, water and blood. Fluid motion is governed by the Navier–Stokes equations, which relate quantities such as velocity, pressure and viscosity. In a common incompressible form, the momentum equation can be written as $\rho\left(\frac{\partial \mathbf{u}}{\partial t}+(\mathbf{u}\cdot\nabla)\mathbf{u}\right)=-\nabla p+\mu\nabla^2\mathbf{u}+\mathbf{f}$, together with the incompressibility condition $\nabla\cdot\mathbf{u}=0$. For realistic objects such as cars, heart valves or buildings, obtaining exact analytical solutions is generally impossible, so the equations must instead be approximated computationally. CFD tackles this by dividing the physical region into a huge collection of small elements forming a mesh. The equations are approximated locally on each element, while neighbouring elements interact so that a numerical approximation to the overall flow gradually emerges. The result can provide estimates of air velocity, density, temperature and pressure throughout the region. Once the pressure distribution around an object is known, integration can be used to calculate quantities such as total aerodynamic forces and drag—conceptually similar to estimating an area using the trapezium rule. The article highlights applications ranging from designing the supersonic Bloodhound car to biomedical engineering and modelling airflow and aerosols in buildings. Key takeaways
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