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딥러닝을 이용한 회전된 정사각형 단면을 가진 장애물 주위의 과도유동 해석Analysis of Transient Flow Around the Obstacle with Rotated Square Cross Sections using Deep Learning

Other Titles
Analysis of Transient Flow Around the Obstacle with Rotated Square Cross Sections using Deep Learning
Authors
이태환박진현
Issue Date
2020
Publisher
한국기계기술학회
Keywords
Transient flow; Convolutional neural network; Deep learning; Rotation angle; Velocity distribution; 과도유동; 컨볼루션 신경망; 딥러닝; 회전각; 속도분포
Citation
한국기계기술학회지, v.22, no.4, pp 636 - 642
Pages
7
Indexed
KCI
Journal Title
한국기계기술학회지
Volume
22
Number
4
Start Page
636
End Page
642
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/7193
DOI
10.17958/ksmt.22.4.202008.636
ISSN
1229-604X
2508-3805
Abstract
The numerical analysis of two-dimensional transient flow around the obstacle with rotated square cross sections was carried out. The obtained velocity distributions for each time step and each rotation angle were imaged to provide data for CNN(convolutional neural network). Both classification and regression neural networks were used for prediction of rotation angle. As results The classification method incorrectly predicted the rotation angle in only 2 of the 470 images. The regression method predicted the rotation angle errors within except 2 out of 470 images. From these facts, it could be concluded that both methods can be sufficiently applicable to the flow analysis.
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융합기술공과대학 > Division of Mechatronics Engineering > Journal Articles

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IT공과대학 (메카트로닉스공학부)
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