CookingNeuronauticsAI Said This Aircraft Could Fly 246+ km. So I Built It and Flight-Tested It!

AI Said This Aircraft Could Fly 246+ km. So I Built It and Flight-Tested It!

4.2× channel medianLong-form15:02Science & TechnologyPublished Jul 9, 2026, 2:30 PM · 3mo ago
Views
994,145
+134 views/hour
Views / hour now
134
measured 4h ago
Peak views / hour
210
1d ago
First 24 hours
—
not tracked from upload
Engagement
2.2%
likes + comments / views
Likes
21.2K
2.1% of views
Comments
1K
0.10% of views
Est. ad revenue
$3,977–$8,947
lifetime, $4–9 RPM

Checked every 24 h while the video is this age · last check 4h ago · next in 1155 min. YouTube itself updates public counts with a short delay.

Avg views / day
9.4K
since upload
vs channel median
4.2×
this video's views ÷ the channel's usual
Rank in channel
#1
of 10 tracked

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Description

Try Onshape Free – Engineers Get Up to 6 Months Pro: https://onshape.pro/Neuronautics Download the NX-2 model - 15% discount during the first 15 days after the video release with code: NEURONAUTICS101 https://cults3d.com/en/users/Neuronautics Can my AI-designed flying wing really fly 200 km? 🤖✈️ Over the last few months, I’ve been trying to answer one ambitious question: can artificial intelligence help design the ultimate efficient flying wing? The result was the NX-2: a 3D-printed, high-aspect-ratio flying wing optimized using aerodynamic simulations and an evolutionary algorithm. After designing, building, and flight-testing the aircraft, I also built a custom thrust bench to find the most efficient motor and propeller combinations for long-endurance flight. But bench testing is only half of the story. In this video, we take the best propulsion setups from the thrust bench and test them in real flight using autonomous loiter missions, advanced telemetry logging, and Python post-processing to measure how much energy the NX-2 really needs to cover distance. And the results were not what I expected. During the flight campaign, the NX-2 was pushed close to its aerodynamic limits, leading to stall testing, flat spins, crashes, repairs, and a much deeper understanding of the real stall speed, maximum lift coefficient, and efficiency sweet spot of the aircraft. The best setup reached around 0.32 Wh/km, improving the original configuration by roughly 32% in energy consumption per kilometer — or about 47% more theoretical range with the same battery. So… was the AI right? Based on the flight data, the NX-2 is no longer just a theoretical 100 km aircraft. With a typical 3S lithium-ion pack, the data suggests it could already reach around 120 km, and with a lighter endurance-focused setup, the theoretical range could go well beyond 200 km. Support the channel: Patreon: https://www.patreon.com/Neuronautics Download the NX-2 model: https://cults3d.com/en/users/Neuronautics #UAV #AI #FlyingWing #RCPlane #FPV #Aerodynamics #Engineering #Onshape #Formlabs #3DPrinting #ArduPilot #Propeller #BrushlessMotor #FlightTesting #Optimization #Neuronautics

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