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

MULTIDISCIPLINARY PHYSICS-CONSTRAINED GENERATIVE DESIGN OF DISTRIBUTED ELECTRIC PROPULSION AIRCRAFT

W. Wei¹, Y. Ma¹, Z. Han¹; ¹ School of Aeronautics, Northwestern Polytechnical University, China

This work proposes a multidisciplinary physics-constrained generative design framework for Distributed Electric Propulsion (DEP) aircraft, fusing CWGAN-GP with MDAO to address data scarcity, poor physical consistency, and low engineering feasibility in traditional generative design. By integrating domain knowledge, physical mechanisms, and multi-objective optimization, it enables end-to-end mapping from task requirements to reliable DEP schemes. Its conclusions validate the critical role of physics constraints and performance optimization in intelligent engineering design. Beyond aviation, this framework offers a scalable paradigm for other complex multi-disciplinary systems requiring efficient, data-limited iterative design, advancing cross-industry intelligent manufacturing.

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DOI: 10.71945/icas2026_0088