Benefits
Autonomous Meshing
Autonomous Meshing
What's Autonomous Meshing?
We use the phrase autonomous meshing to encompass CONVERGE's entire set of robust and innovative grid-related capabilities. Specifically, CONVERGE automatically creates the mesh at runtime, dynamically adapts the mesh throughout the simulation, and invokes Adaptive Mesh Refinement to maximize both accuracy and computational efficiency. Read on for more information about how CONVERGE's powerful meshing capabilities can help you spend less time setting up your simulation and more time gaining insight about your complex flow problem.
Eliminate user meshing time from your workflow
Many CFD codes require time-consuming manual mesh generation or specific templates or scripts for their automated meshing features. CONVERGE, on the other hand, automatically generates a perfectly orthogonal grid at runtime based on a few user-defined grid control parameters. This automated grid generation method eliminates all user meshing time. CONVERGE can easily simulate the most complex moving geometries and will automatically adjust the grid as needed at each time-step to appropriately resolve the flow.
Jet in Crossflow
Refine the mesh when and where it's needed
You need accurate results, and you need them quickly. CONVERGE's innovative Adaptive Mesh Refinement (AMR) technology automatically adjusts the grid at each time-step, adding cells in areas with complex phenomena and eliminating cells that are not needed to yield accurate results. This strategic refinement ensures that CONVERGE can resolve flame fronts and high-velocity flows while minimizing the overall cell count.
Selected Bibliography
Convergent Science
Drennan, S.A., Kumar, G., Wang, M., and Quan, S., "Application of automatic meshing to urea-water injection simulation for engine aftertreatment," SAE Paper 2015-01-1057, 2015. DOI: 10.4271/2015-01-1057
Argonne National Laboratory, Convergent Science, Sandia National Laboratories
Quan, S., Dai, M., Pomraning, E., Senecal, P.K., Richards, K., Som, S., Skeen, S., Manin, J., and Pickett, L.M., "Numerical Simulations of Supersonic Diesel Spray Injection and the Induced Shock Waves," SAE Paper 2014-01-1423, 2014. DOI: 10.4271/2014-01-1423
Convergent Science
Rowinski, D. and Davis, K., "Modeling Reciprocating Compressors Using a Cartesian Cut-Cell with Automatic Mesh Generation," 23rd International Compressor Engineering Conference at Purdue, West Lafayette, IN, United States, Jul 11-14, 2016.
Convergent Science, Argonne National Laboratory
Senecal, P.K., Pomraning, E., Richards, K.J., and Som, S., "Grid-Convergent Spray Models for Internal Combustion Engine CFD Simulations," Proceedings of the ASME 2012 Internal Combustion Engine Division Fall Technical Conference, ICEF2012-92043, Vancouver, BC, Canada, Sep 23-26, 2012. DOI: 10.1115/ICEF2012-92043
Argonne National Laboratory, Convergent Science
Senecal, P.K., Pomraning, E., Richards, K.J., and Som, S., "Grid-Convergent Spray Models for Internal Combustion Engine CFD Simulations," Journal of Energy Resources Technology, 136(1), 012204, 2013. DOI: 10.1115/1.4024861
For more CONVERGE papers, please check out the bibliography.
Resources
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