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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Detalles Bibliográficos
Autores principales: Faroughi, Salah A., Roriz, Ana I., Fernandes, Célio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838701/
https://www.ncbi.nlm.nih.gov/pubmed/35160419
http://dx.doi.org/10.3390/polym14030430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838701/
https://www.ncbi.nlm.nih.gov/pubmed/35160419
http://dx.doi.org/10.3390/polym14030430

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