| Texto completo | |
| Autor(es): |
Moruzzi, Rodrigo B.
;
de Oliveira, Andre Luiz
;
Sharifi, Soroosh
;
Bankole, Abayomi O.
;
Campos, Luiza C.
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF WATER PROCESS ENGINEERING; v. 63, p. 11-pg., 2024-05-06. |
| Resumo | |
Flocculation is crucial in drinking water treatment, yet conventional techniques like jar tests may lack precision in capturing particle heterogeneity. To overcome this, a non-intrusive image-based system was employed to directly assess flocculation using aggregate size distribution (ASD). Integrating ASD into a kinetic model with a single parameter (beta) allowed for tracking ASD during flocculation. Bench and pilot-plant scale experiments validated our approach. Sensitivity analysis confirmed beta's responsiveness to ASD variations (r > 0.92), with modelling indicating errors averaging around 5%, underscoring its efficacy in assessing flocculation efficiency. Linking ASD coefficients from bench to pilot-scale models facilitates predicting flocculation performance. (AU) | |
| Processo FAPESP: | 23/08052-1 - Misturadores de fractal e velocidade terminal dos agregados formados |
| Beneficiário: | Rodrigo Braga Moruzzi |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |