Innovation & Quality


FINE™/Design3D is an integrated environment for the design and optimization of turbomachinery channels and blades. An optimization system requires a parametric modeler to define a large design space, an automatic and fast grid generator, an accurate and robust CFD solver and an efficient optimization kernel. FINE™/Design3D meets all these requirements and enables designers to reach innovative turbomachinery geometries in an all-in-one structure:

  • AutoBlade™: A 3D parametric blade modeler with an advanced fitting module to start designs either from scratch or from an existing geometry.
  • FINE™/Turbo: A NUMECA environment dedicated to turbomachinery flow analysis, from mesh generation with AutoGrid5™ to post-processing with CFView™. It includes the 3D Navier-Stokes multi-block structured flow solver, recognized as the fastest and most accurate for turbomachinery configurations. Users can then benefit from the flow solver efficiency on both workstations or large HPC configurations.
  • Design3D™ Optimization Kernel: an artificial intelligence combining the power of design of experiments, artificial neural network and advanced optimization algorithms.

FINE™/Design3D can be applied to a wide range of configurations: compressors, turbines, pumps, fan, propellers and contra-rotating propellers. Engineers will benefit from it to accelerate their design cycle and generate high performance turbomachinery geometries, taking into account their objectives and constraints. The net result is clear: the time-consuming trial and error process is replaced by an efficient self-learning algorithm.  


Key features


  • General modeler for blades and channel
  • Fully parametric with advanced dependencies between parameters
  • Bounds associated to free parameters
  • Fitting module for imported geometry
  • 3D blades defined by several sections and a stacking law
  • High-continuity of curves and surfaces definition
  • Design analysis tools

FINE™/Turbo: Seamless coupling with FINE™/Design3D

Design3D Optimization Kernel:

  • CFD screening for single design analysis
  • Database generation
  • Artificial Neural Network
  • Self-learning database
  • Genetic algorithm
  • Python scripting technology