Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture

Kuijun Zuo; Shuhui Bu; Weiwei ZhangJiawei HuZhengyin YeXianxu Yuan

首页> 外文期刊>Aerospace science and technology >Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture

【24h】

Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture

机译：Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

In order to obtain the information about flow field, traditional computational fluid dynamics methods need to solve the Navier-Stokes equations on the mesh with boundary conditions, which is a time-consuming task. In this work, a data-driven method based on convolutional neural network and multi-head perceptron is used to predict the incompressible laminar steady sparse flow field around the airfoils. Firstly, we use convolutional neural network to extract the geometry parameters of the airfoil from the input gray scale image. Secondly, the extracted geometric parameters together with Reynolds number, angle of attack and flow field coordinates are used as the input of the multi-layer perceptron and the multi-head perceptron. The proposed multi-head neural network architecture can predict the aerodynamic coefficients of the airfoil in seconds. Furthermore, the experimental results show that for sparse flow field, multi-head perceptron can achieve better prediction results than multi-layer perceptron.

著录项

来源
《Aerospace science and technology》 |2022年第11期|107942.1-107942.22|共22页
作者
Kuijun Zuo; Shuhui Bu; Weiwei ZhangJiawei HuZhengyin YeXianxu Yuan;
展开▼
作者单位

School of Aeronautics, Northwestern Polytechnical University. Xi'an. 710072, China,International Joint Institute of Artificial Intelligence on Fluid Mechanics, Northwestern Polytechnical University, Xi'an, 710072, China,State Key Laboratory of Aerodynamic;

School of Aeronautics, Northwestern Polytechnical University. Xi'an. 710072, China;

School of Aeronautics, Northwestern Polytechnical University. Xi'an. 710072, China,International Joint Institute of Artificial Intelligence on Fluid Mechanics, Northwestern Polytechnical University, Xi'an, 710072, ChinaState Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mian'yang, Si'chuan 621000, China;

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
Machine learning; Airfoil aerodynamics; Multi-head perceptron; Flow field prediction;

Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture

摘要

著录项

相关主题

期刊订阅