AeroQubIt

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AeroQubIt

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    • Home
    • The Project
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    • About
  • Home
  • The Project
  • Results
  • Interactive Apps
  • Videos
  • About

STAGE 1 · Geometric Modeling and Configuration Comparison

Farklı tasarım aşamalarındaki UAV uçak modelleri.

V0–V5 motor configurations (OpenVSP)

L/D aerodinamik verim değerlerini karşılaştıran grafik.

L/D comparison of V1–V5 configurations and References Platform.

STAGE 2 · Machine Learning-Based Design Optimization

ML model accuracy metrics and optimal design parameters.

SHAP analysis: relative effects of wing geometry parameters on CL, CD, and L/D.

Final OTW distributed electric propulsion surveillance platform.

Final OTW distributed electric propulsion surveillance platform.

STAGE 3 · CFD and Multidisciplinary Performance Analysis

Effect of loss ratio on total power output (30 m/s and 60 m/s).

Rotor-on configuration vorticity and pressure distributions (OpenVSP).

Comparison of rotor-off CFD, rotor-on CFD, and ML predictions.

Classical and quantum CFD runtime comparison.

Drag polar theoretical analysis and CFD–theory aerodynamic efficiency comparison.

Battery mass–endurance relationship for different batteries

Endurance and energy source comparison of existing surveillance UAV platforms.

Velocity, CL, CD, L/D, thrust, and power requirements for four flight conditions.

Drag polar curve and maximum L/D point for rotor-on configuration.

Drag polar curve and maximum L/D point for rotor-on configuration.

STAGE 4 · Quantum-Assisted Flow Modeling

Section-wise accuracy of the quantum–classical hybrid model (K0–K9).

STAGE 5 · Experimental Studies

Prototype manufacturing stages: wing, fuselage, and system integration.

Wind tunnel test views of PLA-printed wing section model.

Final views of wind tunnel model and prototype aircraft.

Final views of wind tunnel model and prototype aircraft.

CONCLUSION

The study demonstrates that an over-the-wing (OTW) DEP architecture is technically feasible for surveillance-oriented electric aircraft. Combining a high-aspect-ratio wing with OTW rotor placement improves L/D and gives a clear advantage over existing tactical electric platforms. The integrated use of CFD, ML surrogate modelling and a quantum–classical hybrid expanded analysis scope while cutting computational cost — the surrogate reached 1.47% mean error against CFD, and the quantum route achieved a ~720× speed-up (with some accuracy loss reflecting current NISQ limits). Beyond surveillance, the platform's low-noise, low-thermal-signature design suits civilian uses such as environmental monitoring, infrastructure inspection and search-and-rescue. Flight permissions have been obtained and flight tests have begun; future work covers a differential ML architecture, VQE-based quantum algorithms, and validation in professional wind tunnels with university partners.


 © 2026 Batuhan Türk · İTO Bilim ve Sanat Merkezi 

Welcome to the AeroQubit

This is a brief interactive preview rather than the full project, giving you a quick look at its key features and concepts. Enjoy exploring!

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