A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
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Updated
Mar 19, 2024 - Jupyter Notebook
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.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
CFD Notebooks are a set of Jupyter Notebooks aimed at helping students to learn CFD.
Collection of Notebooks in Google Colab directly usable for study activities
This repository is a beginner-friendly introduction to Computational Fluid Dynamics (CFD) for those interested in developing their own CFD solver. It includes Jupyter notebooks with detailed instructions.
Curso de Dinámica de Fluidos Computacional Aplicada (CFD) creado en la herramienta Jupyter Notebook y empleando Python V3.7
This notebook means to use CFD algorithms to compute the parameters of an NACA airfoil with Spalart-Almarras for unsteady compressible viscous turbulent flow