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QuickerSim CFD Toolbox® for MATLAB® comes with plenty of functions crucial for various fields of science and engineering. The array of features ranges
Great for visualisation of 2D. No numerical data. Forgets' to do Karman eddies on rectangular objects perpendicular to flow.
The parallel performance that you get from a CFD solver can be greatly influenced by the way the code is built and the software libraries used.
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I'm a bit late, but there's a new version of the SU2 code that was released a couple weeks ago.
Here's the (abbreviated) press release....
Stanford’s Aerospace Design Laboratory (ADL) is releasing the second version of the Stanford University Unstructured (SU2) open-source code on Tuesday Jan. 8, 2013.
• Both Windows, Mac and Linux versions and the raw source code will be released• It includes code structure improvements (it is now faster, more accurate and more stable) as well as new capabilities and applications (e.g., plasma analysis, engine effect simulation and unsteady design).• SU2 v2.0 is released under an open-source license
SU2: Analyze. Optimize. Design!
The suite is a collection of C++ based software tools for performing Partial Differential Equation (PDE) analysis and solving PDE constrained optimization problems. The toolset is designed with aerodynamics in mind, but is extensible to treat arbitrary sets of governing equations. It incorporates everything needed to perform a complete design loop; computing flow and adjoint solutions, obtaining objective function sensitivities, performing shape optimization and even grid adaptation.
Version 2.0 includes improvements in the code structure and also new exciting capabilities. The new code is faster, more accurate and more stable thanks to the implementation and improvement of numerical techniques like agglomeration multigrid, advanced linear solvers and preconditioning techniques (e.g., line implicit and low Mach preconditioning).
The new SU2 allows the user to solve new and important problems such as the simulation of internal flows, incompressible fluids, engine effects, plasma in air or argon, or even unsteady simulation and design using dynamic meshes.
The design capabilities have also been greatly improved with the introduction of a continuous adjoint for Euler and Navier-Stokes flows, a discrete adjoint for Euler flows and new Python scripts used for automation.
SU2 was featured in a talk at the American Institute for Aeronautics and Astronautics (AIAA) Aerospace Sciences Meeting (ASM) conference held in Dallas, TX, on Jan. 7-10.
SU2: Social Computational Fluid Dynamics (CFD)
As an open-source code project, the growth of active user and developer communities is a crucial goal for SU2. Interaction between developers and users will help improve and adapt the code to the real needs of both academia and industry.
As the code continues to grow, regular modifications and improvements are added, and information about these and news updates are posted on the SU2 homepage (http://su2.stanford.edu), through Facebook and on Twitter (@su2code). Alongside the second release, a new forum has also been created on CFD Online (http://www.cfd-online.com/Forums/su2/) to help answer questions and interact with users.
If you would like more information on SU2, please check out http://su2.stanford.edu or email us at firstname.lastname@example.org