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Due to its immense importance, many scientists have dedicated their careers to the field, whether they study particular fluid phenomena or develop tools, either experimental or numerical, for other scientists and engineers to use. From designing more aerodynamic sportswear and vehicles, to understanding animal locomotion, to personalized medicine, to disease transmission, and to predicting hurricanes and atmospheric phenomena, it is difficult to find situations where greater knowledge of the underlying fluid dynamics isn’t desired or valuable. Beyond the code, we also provide teaching resources, such as tutorials, flow snapshots, measurements, videos, and slides to streamline use of the software.Ĭomputational Fluid Dynamics (CFD) models are being applied to problems across all sciences and engineering. ![]() v t k format, which can be visualized (and analyzed) with open-source visualization tools, such as VisIt or ParaView. Here we provide an open-source repository, which contains numerous popular fluid solvers in 2 D (projection, spectral, and Lattice Boltzmann), with full implementations in both MATLAB and Python3. To that extent, CFD materials specifically designed for undergraduate education are limited. Unfortunately, vast mathematical knowledge is required to develop one’s own CFD software and commercial software options are expensive and thereby may be inaccessible to many potential practitioners. As pictures are worth a thousand words, in many cases such visualizations are invaluable for understanding the fluid system. ![]() Numerical solutions can be interpreted through traditional quantitative techniques as well as visually through qualitative snapshots of the flow data. CFD harnesses the power of computers to solve the equations of fluid dynamics, which otherwise cannot be solved analytically except for very particular cases. Computational Fluid Dynamics (CFD) models are being rapidly integrated into applications across all sciences and engineering.
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