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Optimization Leader: Convergent Science Inc.

Never make a mesh again.

Streamline the CFD Process With CONVERGE™

Convergent ScienceAs organizations sprint at a breakneck pace toward product innovation and improvement, they often run into a hurdle in their computer-aided engineering toolchain: meshing. Meshing can be one of the most time consuming processes in the entire CAE procedure.

With inconsistencies between different meshes, diffusion due to mesh stretching, and trying to guess where to put more mesh for increased accuracy, the list of meshing issues is long. Add to that a complicated or moving geometry and the complexity of the mesh can increase exponentially.

Optimized Meshing

Convergent Science, Inc. has optimized the computational fluid dynamics (CFD) lifecycle by removing the user defined meshing process with CONVERGE™ CFD Software. CONVERGE™ automates the entire meshing process at runtime. The mesh is re-created for each time step with the addition of Adaptive Mesh Refinement (AMR). AMR adds increased meshing resolution where and when it is needed automatically. This new and innovative approach uses a completely stationary orthogonal Cartesian mesh. The ability to simulate complex moving geometries is handled just as easily as stationary geometries.

Convergent Science

Optimized Detailed Chemistry

The automated meshing in CONVERGE™ not only optimizes your CFD lifecycle, it also allows engineers to accurately solve combustion analyses with detailed chemistry. Solving detailed chemistry with CONVERGE™’s AMR technology will reduce runtimes and increase accuracy by dynamically adding mesh resolution at runtime when and where it is needed, effectively optimizing the mesh for combustion during runtime.

Optimized Designs

CONVERGE™ comes fully equipped with a genetic algorithm optimization model. To put it simply, CONVERGE™ takes a “survival of the fittest” approach to design optimization and automatically initiates CONVERGE™ CFD simulations in search of an optimum product design. Utilizing this approach, the manual user interaction inherent in traditional design optimization is effectively removed.

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