Research on Fast Prediction Methods of Ice Shape in Ice-tolerant Airfoil Design

Abstract Ice accretion damages the aerodynamic performance of aircraft during flight, so the airfoil design based on the concept of ice-tolerant has become a brand-new research direction. In order to shorten the Computational Fluid Dynamics (CFD) time of ice shape in the design of ice-tolerant airfoil, this paper studies a fast prediction method of ice shape based on the Class function/Shape function Transformation (CST) method and Kriging model. Firstly, airfoils are parameterized by the CST method to establish the airfoil database. Secondly, the ice shape database is obtained by CFD calculations, and then the ice shapes mapping on airfoils are generated by the Kriging model. Finally, the sample number, CST order, POD energy ratio and other relative parameters are studied based on the NACA0012 airfoil. Results show that the CFD time can be extensively saved in ice-tolerant design for airfoils, and further, for three-dimensional optimization problems with variable icing conditions.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2024-12-01
DOI
https://doi.org/10.1088/1742-6596/2913/1/012013
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Fast Prediction Methods of Ice Shape in Ice-tolerant Airfoil Design

Dazhi Zhao, Xingda Cui, Zhongyun Xiao, Fan Liu et al.
Journal of Physics Conference Series
Icing and De-icing Technologies
article

Research on Fast Prediction Methods of Ice Shape in Ice-tolerant Airfoil Design

Dazhi Zhao, Xingda Cui, Zhongyun Xiao, Fan Liu, Weibin Li, Shuai Ma, Huadong Zheng
article en

Abstract

Abstract Ice accretion damages the aerodynamic performance of aircraft during flight, so the airfoil design based on the concept of ice-tolerant has become a brand-new research direction. In order to shorten the Computational Fluid Dynamics (CFD) time of ice shape in the design of ice-tolerant airfoil, this paper studies a fast prediction method of ice shape based on the Class function/Shape function Transformation (CST) method and Kriging model. Firstly, airfoils are parameterized by the CST method to establish the airfoil database. Secondly, the ice shape database is obtained by CFD calculations, and then the ice shapes mapping on airfoils are generated by the Kriging model. Finally, the sample number, CST order, POD energy ratio and other relative parameters are studied based on the NACA0012 airfoil. Results show that the CFD time can be extensively saved in ice-tolerant design for airfoils, and further, for three-dimensional optimization problems with variable icing conditions.

Journal of Physics Conference SeriesVol. 2913(1)
Southwest Petroleum University (CN), China Aerodynamics Research and Development Center (CN), State Key Laboratory of Aerodynamics
China Aerodynamics Research and Development Center
Affordable and clean energy
Openalex Percentile: Top 64%
Icing and De-icing Technologies
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