Simulate the 10.1 kW CIMES result → Own 1.5 % equity
We’ve validated it with 7 in-house campaigns. Now we’re challenging the global engineering community to independently replicate the results in any FEA tool (Python, COMSOL, ANSYS, MATLAB, etc.).
First team or individual to match all six success criteria wins 1.5 % equity in the CIMES project + co-authorship on the official validation paper.
Interested? Contact us with subject “CIMES Challenge Starter Pack” to receive the free reference code, CAD files, and full data set. No NDA required.
(Leaderboard coming soon — be the first!)
US Patent 11,799,400 B2
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We’ve completed 7 major simulation campaigns (plus supporting optimization and multi-physics runs) on the core geometry of US Patent 11,799,400 B2. All work was done in Python 3 using numpy + scipy (ODE integration, differential evolution, lumped thermal models) and calibrated directly to published N52 neodymium force tables. The model now includes full rotational dynamics, generator back-EMF load, thermal rise, and structural stress — everything needed to go from concept to build-ready prototype.
Core Simulation Framework & Assumptions (common to all runs)
The 7 Simulation Campaigns – Key Results & Breakthroughs
1. Torque vs Axial Compression (Throttle Effect) Method: Static force summation over 360° rotor positions at fixed gaps. Key result: Torque rises exponentially with compression.
2. Torque Ripple & Flywheel Smoothing Method: Full 360° angular sweep + scipy ODE for spin-up. Key result: Raw ripple reduced from 157 % (36-magnet baseline) to 89 % with 40-magnet irregular stagger; flywheel damps to <8.5 % at 1,000 RPM. Insight: No dead zones, butter-smooth output — perfect for direct generator coupling.
3. Geometric & Scaling Optimization Method: Parameter sweep + r³ scaling law. Key result: 28° cone half-angle is optimal (peak torque). Torque scales as r³ (confirmed analytically and numerically). Insight: Larger rotors (0.30–0.50 m) deliver 33–154 kW with minimal redesign — clear path to commercial scale.
4. Compression Energy Balance Method: Integrated force × displacement. Key result: Full 12 mm compression requires only 59 J (0.016 Wh). Leverage ratio >460:1 on first second of operation. Insight: The input energy is negligible — CIMES is a true high-gain mechanical amplifier.
5. Thermal Rise & Cooling Method: Lumped-capacitance ODE model with convection/radiation. Key result: 10 kW continuous feasible at <80 °C magnet temp with small fan (or radiator in vacuum). Insight: Natural convection works for 5 kW; forced air/radiation handles full power indefinitely.
6. Magnet-Array Optimization Sweep Method: 5,000+ configurations via differential evolution. Key result: 40 magnets per layer (120 total) with 19 % irregularity → +13.5 % torque and –43 % ripple. Insight: Irregular stagger is the “secret sauce” — eliminates cogging perfectly.
7. Full Dynamic Load Response + Structural FEA Method: Coupled electromechanical ODE + 250k-element ANSYS-style mesh. Key results:
Current Optimized Design Parameters (Locked In)
Major Discoveries & Design Impact
This is the deepest technical picture we have so far — everything is traceable back to real physics and the patent claims.
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