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ADflow — ADflow documentation ADflow ADflow – Automatic Differentation Flow Solver – is a structured multi-block and overset 3D CFD solver
ADflow is a finite volume RANS solver tailored for gradient-based . . . ADflow is a flow solver developed by the MDO Lab at the University of Michigan It solves the compressible Euler, laminar Navier–Stokes and Reynolds-averaged Navier–Stokes equations using structured multi-block and overset meshes
Software · MDO Lab ADflow: (pronounced "A-D-flow") CFD solver that can handle structured multi-block and overset meshes It includes an adjoint solver for computing derivatives and can be used in the MACH-Aero framework for aerodynamic shape optimization
mdolab adflow - DeepWiki ADflow is a versatile, high-performance CFD solver designed for aerodynamic analysis and optimization It combines efficient numerical algorithms, parallel computing capabilities, and adjoint-based sensitivity analysis to enable design optimization of complex aerospace systems
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Tutorial — ADflow documentation The following shows how to get started with ADflow by running the mdo_tutorial wing problem First, we show the complete program listing and then go through each statement line by line:
Solvers — ADflow documentation ADflow is capable of switching between solver algorithms during a solution procedure This process is controlled with the relative convergence metric, which is the ratio of current residual norm and the initial residual norm