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Yamamoto, Takahisa. Optimization of deep learning model for aerofoil flow analysis. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2019.
Optimization of deep learning model for aerofoil flow analysis
Name: Akiyoshi, Hiroya
Organization :
Gifu College. National Institute of Technology (KOSE)
Email :
akithian59@icloud.com
Name: Yamamoto, Takahisa
Organization :
Gifu College. National Institute of Technology (KOSE)
keyword:
Deep learning
LCSH:
Fluid dynamics
Abstract:
Computational fluid dynamics spends much time and computational resources to simulate the aerodynamic behaviour of complex systems, such as drug delivery problems inside human body. This study suggests a method for solving these problems by using deep learning, one kind of artificial intelligence. This study analyzed the incompressible fluid dynamics around 2D airfoils by using U-net architecture based on convolutional neural network (CNN), and estimate the pressure and velocity fields. This study used University of Illinois at Urbana-Champaign (UIUC) airfoil database and analyzed 1404 types of airfoils as both training data and test data. Angle of attack (AOA) and inlet velocity were conditioned as calculation parameters. As a result of the deep learning, this study obtained good agreement with the result of Reynolds Averaged Navier-Stokes simulation, a mean relative pressure and velocity errors between them under 1.4 percent
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2019
Modified:
2020-08-11
Issued:
2020-08-11
บทความ/Article
application/pdf
BibliograpyCitation :
In Suranaree University of Technology The School of Mechanical Engineering Institute of Engineering. The 10th TSME International Conference on Mechanical Engineering 2019 (TSME-ICoME10) (p.243-249.). Pattaya : Department of Mechanical Engineering
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.036911 วินาที
Akiyoshi, Hiroya
| Title | Contributor | Type |
|---|---|---|
| Optimization of deep learning model for aerofoil flow analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Akiyoshi, Hiroya;Yamamoto, Takahisa | บทความ/Article |
Yamamoto, Takahisa
| Title | Contributor | Type |
|---|---|---|
| Optimization of deep learning model for aerofoil flow analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Akiyoshi, Hiroya;Yamamoto, Takahisa | บทความ/Article | |
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มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Matsubara, Mei;Hasegawa, Hirotoshi;Yamamoto, Takahisa;Nomura, Etsuji | บทความ/Article | |
| Computational fluid dynamics simulation for cases with nasopharyngeal insufficiency
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Koko, Phyozin;Kobayashi, Yoshikazu;Yamamoto, Takahisa | บทความ/Article | |
| Computer fluid dynamics analysis for aerosol transport phenomena during exhalation through nose
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Yamamoto, Takahisa;Kobayashi, Yoshiki;Shikano, Shunpei;Takeyama, Masahiro;Asako, Mikiya;Yanada, Hideki | บทความ/Article | |
| A study on hemodynamics changes in aorta-pulmonary artery system caused by patent ductus arteriosus
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Shikano, Shumpei;Yamamoto, Takahisa;Kahar Bin Osman;Ishkrizat Bin Taib;Mohamad Ikhwan Bin Kori;Takeyama, Masahiro | บทความ/Article |