Can an AI-Optimized Toroidal Propeller Beat a Conventional One?

Try Onshape Free – Engineers Get Up to 6 Months Pro: https://onshape.pro/Neuronautics Formlabs 4: https://tidd.ly/4jfO50g Formlabs 4L: https://tidd.ly/4yg21Mw Can an AI-optimized toroidal propeller actually beat a conventional one? 🤖✈️ In this video, I design a toroidal propeller from scratch and compare it against the Aeronaut Power Prop 9x7, the most efficient conventional propeller I’ve tested on the NX-2. The process starts with reverse-engineering the Aeronaut using a high-resolution 3D scanner and validating it with transient CFD. From there, I build a fully parametric toroidal propeller, explore hundreds of geometries, and use a neural network to guide the optimization. I then optimize the airfoil itself, manufacture the best designs on the Formlabs Form 4L, and test them on my thrust bench, including calibrated acoustic measurements. Finally, I install the toroidal propeller on the NX-2 and repeat the same autonomous flight-test mission used in my previous videos. So… can a properly optimized toroidal propeller really beat a conventional one? Support the channel: Patreon: https://www.patreon.com/Neuronautics Download the NX-2 model: https://cults3d.com/en/users/Neuronautics #ToroidalPropeller #AI #Aerodynamics #CFD #Engineering #Propeller #Optimization #NeuralNetwork #3DPrinting #Formlabs #Onshape #FlightTesting #UAV #FlyingWing #Neuronautics