Data-Driven Prediction of Unsteady Vortex Phenomena in a Conical Diffuser
The application of machine learning to solve engineering problems is in extremely high demand. This article proposes a tool that employs machine learning algorithms for predicting the frequency response of an unsteady vortex phenomenon, the precessing vortex core (PVC), occurring in a conical diffus...
| Glavni autori: | , , , , , |
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| Format: | Članak |
| Jezik: | English |
| Izdano: |
MDPI AG
2023-02-01
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| Serija: | Energies |
| Teme: | |
| Online pristup: | https://www.mdpi.com/1996-1073/16/5/2108 |