CFD Simulation · Generative Design · 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.
Technologies
Industrial-Grade Tools
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-? 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 — each iteration is a real simulation.
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.
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.
Automated Pipeline
The entire workflow implemented in Python as open-source software: parametric design → meshing → CFD → postprocessing → optimization → STL export. Zero manual steps. Reproducible engineering.
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
Four 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-? SST simulation in OpenFOAM 13 with real seawater. Each point compared against FCS M-5 and Futures AM1.
Complete parametric sweep: 3 models × 4 angles of attack = 12 fine cases per model. Total: 31,661 CFD iterations with OpenFOAM 13, k-? SST turbulence, on snappyHexMesh mesh with 5 prismatic layers.