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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Detalhes bibliográficos
Autor principal: Faroughi, Salah A. (author)
Outros Autores: Roriz, Ana Isabel Araújo (author), Fernandes, Célio (author)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
Machine learning
Deep learning
Stacked learning
Viscoelastic flows
Oldroyd-B fluid
Giesekus fluid
Sphere drag coefficient
Engenharia e Tecnologia::Engenharia Mecânica
Science & Technology
Indústria, inovação e infraestruturas
Texto completo:http://hdl.handle.net/1822/75651
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/75651

Texto Completo

http://hdl.handle.net/1822/75651

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