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A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator

arXiv · AI, language, vision and robotics · article · Sep 13, 2026 · UTC

To enable flexible and rapid aerodynamic performance evaluation in turbomachinery design, this paper proposes a panoramic performance prediction framework. Unlike most previous prediction models that directly predict the objective functions of interest, our approach first predicts the basic parameters of the Navier-Stokes equations, such as temperature, pressure, and density. Utilizing these basic physical quantities, it subsequently predicts key performance parameters of the turbine stage meridian plane. By adopting this methodology, our proposed panoramic performance prediction framework fun

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