01.1 - Aircraft Design and Integrated Systems (Theory, Methods and Tools)

DATA-DRIVEN SHAPE PARAMETERIZATION FOR EFFECTIVE AERODYNAMIC DESIGN OPTIMIZATION OF PROPELLERS

W. Lin¹, C.C. Nian¹, J.C. Li¹; ¹Northwestern Polytechnical University, China

A hybrid framework is proposed for efficient propeller shape optimization in low-altitude and urban air mobility. It integrates compact, data-driven blade parameterization with surrogate models trained on limited CFD data, reducing dimensionality while preserving shape diversity and accuracy. The approach is validated on three propellers with different scales and operating conditions.

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DOI: 10.71945/icas2026_0476