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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Bibliographic Details
Main Author: Faroughi, Salah A. (author)
Other Authors: Roriz, Ana Isabel Araújo (author), Fernandes, Célio (author)
Format: article
Language:eng
Published: 2022
Subjects:
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
Online Access:http://hdl.handle.net/1822/75651
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/75651

Internet

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

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