We all know that the mesh plays a vital role in CFD simulations. Yet, not many realize that renumbering (ordering) of the cells in the Finite Volume Method (FVM) can affect the performance of the linear solver and thus the speed of the simulation. In some circumstances, a poorly numbered mesh may result in solver divergence and failure of the simulation. In this blog, we use Pointwise and OpenFOAM® to illustrate the effect of mesh renumbering on the matrix structure.
In this work, a flexible framework for discrete adjoint-based reactive flow optimization in SU2 is presented. The implementation is based on a low-Mach number solver and a flamelet progress variable model for strongly cooled laminar premixed flames. Besides the combustion model and the required solvers, methodologies to handle geometrically constrained deformation and an automated re-meshing procedure using Pointwise are shown. Furthermore, validation of the implementation and design optimization of a simplified 2D burner and heat exchanger configuration are presented.
This week’s CFD news includes a nice article about gas turbine engine CFD using a GPU accelerated code (the image shown here) and a nice interview with Siemens’ CEO. There are positive signs ahead according to some financial news and events to look forward to in the coming year, especially an invited session of technical papers on grand challenge problems for the CFD Vision 2030. And we hope you’re feeling musical today.
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Tagged 3DExperience, Altair, ANSYS, Dassault Systemes, FloEFD, GENESIS, GPU, high-order, jobs, LES, nTopology, Onshape, Pointwise, PTC, Siemens, Tecplot
In this prerecorded webinar, you will see SU2 used for a transient simulation conducted to capture near body drag and wake drag phenomena for a tractor-trailer configuration with a Delayed Detached Eddy model based on the Shear Stress Transport turbulence. The control over mesh topology and boundary layer generation within Pointwise provided a mesh best suited for this simulation.
Professor Kozo Fujii recently shared preliminary results of a large-eddy simulation of an axial fan that were computed on overset structured grids. Decomposition techniques were then used to compute the fan’s acoustic signature. A journal article and conference presentation are currently in-work and will contain more detail on the simulations and a broader range of results. Continue reading