Liyue Wang

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Aerospace | Free Full-Text | Aerodynamic Optimization Framework for a Three-Dimensional Nacelle Based on Deep Manifold Learning-Assisted Geometric Multiple Dimensionality Reduction

Jun 21, 2023 | mdpi.com | Cong Wang |Liyue Wang |Chen Cao |Gang Sun

4.4. Optimal Results and DiscussionFigure 15 shows the distribution of all 3D nacelles in the design process. According to Equation (10), the criterion space is spanned by the drag coefficient CD, the laminar flow ratio λ, and the drag divergence criterion ζ. The laminar flow ratio λ is the ratio of surface laminar flow area to total area. There are 3100 nacelle configurations in the figure, and their spatial 3D positions represent their aerodynamic performance.

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