| Full text | |
| Author(s): |
Grijo Louzada, Jean Carlo
[1, 2]
;
de Souza Pinto, Thiago Cesar
[3]
;
Meier, Rafael Gomes
[4]
;
de Souza, Podalyro Amaral
[4]
;
Leal Filho, Laurindo de Salles
[1]
Total Authors: 5
|
| Affiliation: | [1] Univ Sao Paulo, Polytech Sch, Min & Petr Dept, 2373 Prof Mello Moraes Av, BR-05508900 Sao Paulo, SP - Brazil
[2] Fed Univ Southern & Southeastern Para, Geosci & Engn Inst, BR-68507590 Para, PA - Brazil
[3] Mineral Dev Ctr CDM Vale, BR381 KM450, BR-33040900 Santa Luzia, MG - Brazil
[4] Univ Sao Paulo, Polytech Sch, Hydraul & Environm Dept Civil Engn, Prof Lucio Martins Rodrigues Av 120, BR-05508020 Sao Paulo, SP - Brazil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | JOURNAL OF HYDRAULIC ENGINEERING; v. 147, n. 12 DEC 1 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
The principle of maximum entropy (PME) relies on information theory, Shannon entropy, and four constraints, namely the total probability and conservation laws of mass, momentum, and energy. This paper applies PME theory to an exactly accurate data set available in the literature to develop a model that relates the friction factor (f) to the entropy parameter (M). The proposed model exhibits fair adherence to the experimental data, and it was validated by multiphase flow pumping tests with concentrated iron ore slurry. Extending the use of the proposed model for multiphase flow, particularly mineral slurries, allows for the determination of apparent viscosity and Reynolds number without resorting to rheological measurement. The deviations between the M parameter obtained from the proposed model and that reported in the literature were smaller than 5% for the iron ore slurry. It has been demonstrated that the PME is a particularly important tool for hydraulic systems, especially in multiphase flow such as that of mineral slurries containing a high content of solids. (c) 2021 American Society of Civil Engineers. (AU) | |
| FAPESP's process: | 14/22926-5 - Pumping and rheological investigation for iron ore flow of coarse particles |
| Grantee: | Arthur Pinto Chaves |
| Support Opportunities: | Regular Research Grants |