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Noise Prediction of Cylinder Flow using Machine Learning |
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| รหัสดีโอไอ | |
| Creator | 1. N. Chinaso 2. K. Rattanamongkhonkun 3. W. Rojanaratanangkule |
| Title | Noise Prediction of Cylinder Flow using Machine Learning |
| Publisher | Thai Society of Mechanical Engineers (TSME) |
| Publication Year | 2568 |
| Journal Title | Journal of Research and Applications in Mechanical Engineering (JRAME) |
| Journal Vol. | 13 |
| Journal No. | 3 |
| Page no. | JRAME-25-13-035 (p.1-10) |
| Keyword | Acoustic noise, Cylinder flow, Machine learning, Compressible, Low Mach number flow |
| URL Website | https://ph01.tci-thaijo.org/index.php/jrame/index |
| Website title | Journal of Research and Applications in Mechanical Engineering (JRAME) |
| ISSN | 2229-2152 |
| Abstract | The accurate prediction of aerodynamic noise generated by cylinder flow is a critical challenge in various engineering applications, including automotive and aerospace industries. Traditional Computational Fluid Dynamics (CFD) methods, such as Direct Numerical Simulation (DNS), often require significant computational resources and time to simulate the complex interactions within flow. This study successfully creates a model using Machine Learning (ML) techniques to predict the pressure fluctuation in flow over a cylinder which provides a faster and equally reliable alternative to conventional methods. |
