Accuracy
The implemented numerical schemes yield conservation of mass, momentum and energy. The combination of a hybrid approach in a staggered finite volume context results in very good resolution properties for the acoustics.
Performance
Since its beginnings in the eighties, MGLET has been developed for excellent performance on high performance computing systems. MGLET is fully parallelised and scales up to 10 000’s of cores. This means the more cores available, the shorter the turn over time without an increase in total computing cost. MGLET is in regular use on Europe’s largest computing centres, demonstrating this extreme scaling in practice.
Integration
MGLET integrates easily into most engineering analysis workflows. The required input data is standard STL and JSON file formats, so the tasks of creating an MGLET flow simulation can be automated for specific repeated workflows. The results of the simulation are ordinary text files, images, a modern HTML report with the flow data in VTK/Paraview file formats.
Additional features
Many models for acoustic active materials (foams, slits, porous materials etc.) and many different acoustic boundary conditions
State of the art LES models: Dynamic Lagrange, WALE, Smagorinsky
Automated Grid generation with minimal CAD preparation
Option for including back coupling giving tonal effects and effectively compressible results with all advantages of hybrid approaches
Flexible Licensing models possible with RLM License server
Advanced post-processing including spectra evaluation and providing data interfaces for visualisations tools like Paraview
Easy interface for providing time dependent excitation data for coupling with FEM simulations and evaluation of structural loads
Advanced analysis by frequency filtered acoustic and hydrodynamic quantities in 3D volume fields