航空学报2026，Vol.47Issue(16)：90-104,15.DOI:10.7527/S1000-6893.2025.32983
基于多任务学习的翼型结冰与气动特性预测
Airfoil icing and aerodynamic characteristics prediction based on multi-task learning
摘要
Abstract
To address the problem of limited accuracy in single-task learning for airfoil icing prediction and the difficulty in simultane-ously obtaining icing morphology and aerodynamic characteristics,a multi-task learning based airfoil icing prediction framework called MTAF(Multi-Task Airfoil Former)is proposed.The framework employs an encoder-decoder architecture that extracts deep representations of airfoil geometry and flight conditions through a shared fea-ture encoder,realizes feature fusion and task interaction via a task correlation module,and accomplishes icing predic-tion and aerodynamic coefficient prediction respectively through dedicated prediction heads.The performance of Transformer and ConvNeXt backbone net-works within this framework is comparatively studied.Based on training and testing with 625 NACA 2412 airfoil samples,results demonstrate that the Transformer architecture achieves pixel accu-racy of 99.79%and coefficient of determination for 0.990 6 in icing prediction tasks,significantly outperforming 99.50%and 0.977 2 of ConvNeXt.For aerodynamic coefficient prediction,Transformer achieves coefficient of deter-mination values of 0.975 4 for lift coefficient and 0.987 4 for drag coefficient,which are comparable to 0.973 3 and 0.990 1 of ConvNeXt,respectively,with each architecture showing distinct advantages.The MTAF framework main-tains stable prediction performance across different icing types and various flight conditions,providing a high-precision prediction tool for airfoil icing engineering applications.关键词
飞机结冰/图像预测/气动特性/Transformer/卷积神经网络Key words
aircraft icing/image prediction/aerodynamic characteristics/Transformer/convolutional neural network分类
航空航天引用本文复制引用
辛惠竹,李晨,桑为民,侯靓..基于多任务学习的翼型结冰与气动特性预测[J].航空学报,2026,47(16):90-104,15.基金项目
结冰与防除冰重点实验室开放课题(IADL20230302) （IADL20230302）
国家自然科学基金(12572270) （12572270）
西北工业大学"1-0"重大工程科学问题项目(G2024KY0613) Open Fund of Key Laboratory of Icing and Anti/De-icing(IADL20230302) （G2024KY0613）
National Natural Science Foundation of China(12572270) （12572270）
The"1-0"Major Engineering Science Problem Project of Northwestern Polytechnical University(G2024KY0613) （G2024KY0613）
