Loading simulation

CFD Simulation Β· Generative Design Β· Additive Manufacturing

We don't design with intuition. We design with supercomputing.

We apply the same rigor as aerospace engineering to consumer products. Computational fluid dynamics, multi-objective genetic algorithms and high-performance additive manufacturing. All in one lab.

31,661
CFD iterations executed
3
Projects completed
21
STL models in catalog
8.2 h
CPU simulation hours Β· 16 cores

Technologies

Industrial-Grade Tools

OpenFOAM
Python
NSGA-II
snappyHexMesh
k-Ο‰ SST
PA-CF

What we do

Industrial-Grade Computational Engineering

We combine computational fluid dynamics, genetic algorithm optimization and additive manufacturing to create products that cannot be designed with traditional methods.

🌊

CFD Simulation

We solve the Navier-Stokes equations with incompressible RANS and k-Ο‰ SST turbulence model in OpenFOAM 13. snappyHexMesh mesh with prismatic layers to resolve the boundary layer. Real fluid conditions, not approximations.

🧬

Generative Design

NSGA-II explores thousands of parametric geometries to find the optimal Pareto front. Each candidate is evaluated with full CFD. We don't use cheap surrogate models β€” each iteration is a real simulation.

πŸ—οΈ

Additive Manufacturing

Geometries impossible with traditional molds: leading edges with tubercles, trailing edges with serrations, surfaces with microchannels. 3D printing in PA-CF with 3K Twill carbon fiber reinforcement and epoxy coating.

πŸ‹

Quantitative Biomimetics

Nature solved hydrodynamics problems millions of years ago. We parameterize, simulate and optimize real biological patterns: Megaptera tubercles, Bubo serrations, Carcharodon denticles. It's not decoration.

πŸ”„

Automated Pipeline

The entire workflow implemented in Python as open-source software: parametric design β†’ meshing β†’ CFD β†’ postprocessing β†’ optimization β†’ STL export. Zero manual steps. Reproducible engineering.

πŸ“

NACA Profiles

We work with NACA 0012 and 0008 profiles with full parameterization: sweep, rake, twist, cant angle, thickness, chord. Complete control over geometry. Nothing is left to chance.

Flagship Project

Next-Generation Surf Fins

Three models designed with genetic algorithms, validated with 31,661 CFD iterations and manufactured in PA-CF. Up to +55% more lift than FCS M-5.

Validation

31,661 iterations. Not a single assumption.

Lift/drag curves validated at 4 angles of attack. RANS k-Ο‰ SST simulation in OpenFOAM 13 with real seawater. Each point compared against FCS M-5 and Futures AM1.

Parametric sweep and performance curves

Complete parametric sweep: 3 models Γ— 4 angles of attack = 12 fine cases per model. Total: 31,661 CFD iterations with OpenFOAM 13, k-Ο‰ SST turbulence, on snappyHexMesh mesh with 5 prismatic layers.