Application of physics-informed neural network in the analysis of hydrodynamic lubrication
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s40544-022-0658-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/7933 |
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oai:localhost:PNK-79332023-04-14T03:55:54Z Application of physics-informed neural network in the analysis of hydrodynamic lubrication Yang, Zhao Liang, Guo Patrick Pat Lam, Wong PINN 2D Reynolds equation CC BY The last decade has witnessed a surge of interest in artificial neural network in many different areas of scientific research. Despite the rapid expansion in the application of neural networks, few efforts have been carried out to introduce such a powerful tool into lubrication studies. Thus, this work aims to apply the physics-informed neural network (PINN) to the hydrodynamic lubrication analysis. The 2D Reynolds equation is solved. The PINN is a meshless method and does not require big data for network training compared with classical methods. Our results are consistent with those obtained by experiments and the finite element method. Hence, we envision that the PINN method will have great application potential in lubrication and bearing research. 2023-04-14T03:55:53Z 2023-04-14T03:55:53Z 2022 Book https://link.springer.com/article/10.1007/s40544-022-0658-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/7933 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
PINN 2D Reynolds equation |
| spellingShingle |
PINN 2D Reynolds equation Yang, Zhao Liang, Guo Patrick Pat Lam, Wong Application of physics-informed neural network in the analysis of hydrodynamic lubrication |
| description |
CC BY |
| format |
Book |
| author |
Yang, Zhao Liang, Guo Patrick Pat Lam, Wong |
| author_facet |
Yang, Zhao Liang, Guo Patrick Pat Lam, Wong |
| author_sort |
Yang, Zhao |
| title |
Application of physics-informed neural network in the analysis of hydrodynamic lubrication |
| title_short |
Application of physics-informed neural network in the analysis of hydrodynamic lubrication |
| title_full |
Application of physics-informed neural network in the analysis of hydrodynamic lubrication |
| title_fullStr |
Application of physics-informed neural network in the analysis of hydrodynamic lubrication |
| title_full_unstemmed |
Application of physics-informed neural network in the analysis of hydrodynamic lubrication |
| title_sort |
application of physics-informed neural network in the analysis of hydrodynamic lubrication |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s40544-022-0658-x https://dlib.phenikaa-uni.edu.vn/handle/PNK/7933 |
| _version_ |
1763180886127280128 |
| score |
8.891145 |