CONVERGE’s meshing delivers speed & accuracy
Mesh generation continues to represent a huge bottleneck in the work flow for gas turbine CFD. Commercial combustor geometries can take weeks or months to mesh with conventional CFD approaches. More importantly, unstructured meshes with their highly skewed cell shapes impede solution time and add numerical diffusion errors.
CONVERGE automatically generates a high quality Cartesian mesh with a modified cut-cell boundary treatment at runtime eliminating all user meshing time. The orthogonal mesh structure in CONVERGE provides an excellent platform for faster solution speed and better accuracy. CONVERGE’s workflow goes directly from CAD geometry import to case setup. Geometry changes are a snap in CONVERGE.
Never make a mesh again.
Take advantage of grid-convergent CFD
CONVERGE’s Adaptive Mesh Refinement (AMR) allows the proper mesh size to be applied where and when it is needed. Regions of high gradients in velocity, temperature and species concentrations can have AMR applied to achieve the proper mesh resolution for accuracy. The result is grid-convergent simulation where you can trust that the simulation is not mesh dependent.
Grid-convergent simulation of a gas turbine combustor in CONVERGE
CONVERGE users have full control over the size of the mesh. Grid-scaling can be used initially to run quickly with a coarse mesh before automatically reducing mesh size. Fixed-embedding of is applied around geometric elements and sprays.
Fast and powerful detailed chemistry for combustion and emissions
Capturing detailed chemistry effects in gas turbine combustion are critical for emissions predictions, ignition and extinction. CONVERGE comes equipped with the SAGE detailed chemistry solver with both powerful accelerators such as multi-zone chemistry and dynamic mechanism reduction. CONVERGE also has a mechanism reduction tool which allows initial targeted reductions where users choose the level of reduction accuracy. CONVERGE can use mechanisms with no limit on the number of species or reactions.
LES simulation of gas turbine spray combustion
World-class spray and atomization models
Convergent Science was responsible for the development of the most commonly used twin-fluid atomizer CFD model used in the industry over 10 years ago. CONVERGE takes advantage of this spray modeling expertise and numerous improvements for grid-convergent spray modeling. Primary and secondary breakup including droplet-droplet and spray-wall interactions are possible with CONVERGE. Volume-of-Fluid (VOF) modeling of liquid breakup and atomization inside of injectors is also possible.
LES simulation of the NASA Environmentally Responsible Atomizer
(image courtesy of Parker Hannifin)
Blazing fast LES and transient simulations
CONVERGE, originally developed for the IC engine industry, has extremely fast transient solvers that make its performance in LES and transient RANS simulations extremely fast.
CONVERGE is suited for Gas Turbines
• No user-mesh time and easy geometry changes
• Adaptive Mesh Refinement (AMR)
• LES and RANS turbulence models
• Grid-convergent spray modeling
• Volume-of-Fluid (VOF) atomization
• Detailed chemistry with mechanism reduction
• Emissions and soot modeling
• Radiation modeling
• Conjugate Heat Transfer (CHT) for Lifing
• Excellent parallel scaling performance for HPC
P. K. Senecal, E. Pomraning, Q. Xue, S. Som, S. Banerjee, B. Hu, K. Liu and J. M. Deur. “Eddy Simulation of Vaporizing Sprays Considering Multi-Injection Averaging and Grid-Convergent Mesh Resolution,” J. Eng. Gas Turbines Power, 136(11), 111504, #GTP-14-1136, May 16, 2014.
P. K. Senecal, E. Pomraning, J. W. Anders, M. R. Weber, C. R. Gehrke, C. J. Polonowski and C. J. Mueller. “Predictions of Transient Flame Lift-off Length With Comparison to Single-Cylinder Optical Engine Experiments,“ J. Eng. Gas Turbines Power 136(11), 111505, #GTP-14-1138, May 28, 2014.
H. Zhao, S. Quan, M. Dai, E. Pomraning, P. K. Senecal, Q. Xue, M. Battistoni and S. Som. “Validation of a Three-Dimensional Internal Nozzle Flow Model Including Automatic Mesh Generation and Cavitation Effects,“ J. Eng. Gas Turbines Power 136(9), 092603, #GTP-14-1111, April 21, 2014.
S. Drennan, G. Kumar. “Demonstration of an Automatic Meshing Approach for Simulation of a Liquid Fueled Gas Turbine with Detailed Chemistry,” 50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference, July 2014.