NUMECA FINE™Turbo v9.1-1 Windows Linux / SSQ

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NUMECA FINE™Turbo v9.1-1 ShiChuang Linux-SSQ

NUMECA FINE™Turbo v9.1-1 Windows Linux / SSQ

NUMECA FINE™Turbo v9.1-1 ShiChuang Linux-SSQ | 3.1GB

FINE™/Turbo is the fastest CFD suite for rotating machi nery with incompressible and compressible fluids, from subsonic to hypersonic flow regimes. All types of multi-stage axial, radial or mixed-flow configurations are supported: compressors, turbines, pumps, fans, propellers or contra-rotating propellers. From meshing to results visualization, the FINE™/Turbo application-oriented graphical user interface is intuitive, enabling fast project set-up and analysis. The simulation process is streamlined with:

AutoGrid5™: Automated grid generator for turbomachinery configuration, delivers the highest quality structured meshes with minimum user input. Its Wizard mode handles all types of rotating machinery configurations and complexities.
FINE™/Turbo flow solver: 3D Navier-Stokes flow solver, recognized as the fastest and most accurate for turbomachinery configurations. Acceleration of several orders of magnitude is achieved thanks to the CPUBooster™ technique, NLH approach and HPC scalability.
CFView™: Advanced post-processing tool, provides dedicated flow visualization and analysis outputs in an easy-to-use turbomachinery-oriented mode.

Key features
Wizard mode: optimal mesh topology based on configuration
Advanced geometry features: blade fillets, axisymmetric and non-axisymmetric effects
Advanced configurations: multistage, bulb, by-pass
Automated blocking and meshing of axisymmetric effects
Python scripting technology

FINE™/Turbo flow solver:
One single code for all types of fluids (incompressible, low-compressible, condensable and fully compressible) and speed (low speed to hypersonic regime)
Acceleration with the CPUBooster module provides 3-5 times gain in convergence speed
Non Linear Harmonic (NLH) module for full unsteady rotor-stator interactions with gains of 1 to 3 orders of magnitude in CPU time
HPC for high performance computing on supercomputers with linear speed-up on up to 5,000 to 10,000 cores
Embedded fluid structure interaction with the Modal and Flutter Analysis module
Uncertainty Quantification module to study the variability of input parameters
Automated performance curve creation
Multigrid convergence acceleration
Full Non-Matching Boundaries capability
Laminar-turbulent transition
Python scripting technology

Multi-projects and multi-views graphical user interface
Specific turbomachinery visualization mode
Python scripting technology

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Tags: NUMECA, Windows
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