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Computational Fluid Dynamics (CFD)

Computational Fluid Dynamics (CFD) is a specialized area within fluid mechanics that employs numerical methods and algorithms to simulate the behavior of fluids. It enables engineers and scientists to model and analyze complex flow phenomena, such as air flow around an aircraft wing, water currents in rivers, or heat transfer in industrial equipment. CFD tools provide detailed insights into fluid behavior under various conditions, allowing for optimization of designs, prediction of performance, and troubleshooting of issues in many fields including aerospace, automotive, energy, and environmental engineering. By solving the governing equations of fluid motion (Navier-Stokes equations), CFD can predict velocity, pressure, temperature, and other important variables throughout the domain of interest.

Here are 926 public repositories matching this topic...

FluidX3D

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

  • Updated Apr 18, 2025
  • C++
AeroSandbox

Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

  • Updated Feb 17, 2025
  • Jupyter Notebook
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