A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils-Reference-Cited by-同舟云学术

A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils

Published:2020-02 Issue: Volume:198 Page:104393
ISSN:0045-7930
Container-title:Computers & Fluids
language:en
Short-container-title:Computers & Fluids

Author:

Wu Haizhou,Liu Xuejun,An Wei,Chen Songcan,Lyu Hongqiang

Funder

Aeronautical Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference51 articles.

1. Supercritical Airfoil and Wing Design;Sobieczky;Annu Rev Fluid Mech,1984

2. Characteristics of the Flow around Conventional and Supercritical Airfoils;Nakayama;J Fluid Mech,2006

3. Characteristics of a Typical Lifting Symmetric Supercritical Airfoil;Ramaswamy;Sadhana,1987

4. Surface Pressure and Wake Flow Fluctuations in a Supercritical Airfoil Flow field;Roos;AIAA J,1975

5. Hurley FX, Spaid FW, Roos FW, Stivers LS Jr, Bandettini A. Detailed Transonic Flow Field Measurements about a Supercritical Airfoil Section. NASA TM X-3244, July 1975.

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