Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/69655| Título: | Exploratory project 2019 - deep learning for particle-laden viscoelastic flow modelling |
| Autor(es): | Fernandes, C. Faroughi, S. A. Nóbrega, J. M. McKinley, G. H. |
| Data: | Out-2020 |
| Citação: | C. Fernandes, S.A. Faroughi, J.M. Nóbrega, G.H. McKinley, “Exploratory Project 2019 - Deep learning for particle-laden viscoelastic flow modelling”, MIT Portugal 2020 Annual Conference, Lisbon, Portugal, 15 October, 2020 |
| Resumo(s): | [extract] Objetives: explore the possibility of using Deep Learning (DL) techniques to evaluate the drag coefficient of small non-Brownian particles translating and settling in nonlinear viscoelastic fluids. The long-term objective is the development of a 3D numerical code for particle-laden viscoelastic flows (PLVF), which will contribute to understanding many advanced manufacturing and industrial operations, specifically the hydraulic fracturing process. |
| Tipo: | Poster em conferência |
| URI: | https://hdl.handle.net/1822/69655 |
| Arbitragem científica: | no |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | IPC - Outras publicações/Other publications |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| MIT-Portugal-2020-Conference-Poster-Celio.pdf | MITPT2020 | 583,28 kB | Adobe PDF | Ver/Abrir |
