A meta-model to predict the drag coefficient of a particle translating in viscoelastic fluids: a machine learning approach
This study presents a framework based on Machine Learning (ML) models to predict the drag coefficient of a spherical particle translating in viscoelastic fluids. For the purpose of training and testing the ML models, two datasets were generated using direct numerical simulations (DNSs) for the visco...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2022
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/75651 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/75651 |