https://doi.org/10.1051/epjconf/202124912003
Optimal design of cyclones in series for the separation of multicomponent mixtures of Portland cement
1
Departamento de Ingeniería Química, Facultad de Ingeniería, UNCPBA. Av. Del Valle 5737–7400 Olavarría – Argentina
2
Laboratorio de Micropartículas, Centro de Investigaciones en Física e Ingeniería (CIFICEN), UNCPBA-CICPBA-CONICET. Av. Del Valle 5737–7400 Olavarría – Argentina
3
Department of Metallurgical and Materials Engineering, Universidade Federal do Rio de Janeiro – COPPE/UFRJ, Cx. Postal 68505, CEP 21941-972 Rio de Janeiro, RJ, Brazil
4
Departamento de Ingeniería Civil, Facultad de Ingeniería, UNCPBA. Av. Del Valle 5737–7400 Olavarría – Argentina
* Corresponding author: cpaulo@fio.unicen.edu.ar / cecipaulo@gmail.com
Published online: 7 June 2021
A nonlinear programming problem was developed for the separation and classification of Portland cement particles into different fractions through the optimal design of two cyclones classifier in series. The equations and restrictions considered included the global mass balances, the equations for the geometric design of the cyclones, the equations for the efficiency calculation, the operating limitations of the process and the pressure drops of the equipment. The results show that an increase on the particles cut size led to a greater dimensions cyclone, as expected. Moreover, fractional efficiencies obtained increase with the reduction of the cut size. The solids load effect is also evaluated, reductions of the solids feed by 50% of its maximum value does not result in a remarkably decrease of efficiencies values. The proposed model has provided useful information and constitutes a starting point for a better understanding of the overall separation process of multi-component Portland cement mixtures. It is a valuable tool for the correct design of this type of separators, given its versatility to optimize under different operating conditions and with different materials.
A video is available at https://doi.org/10.48448/hqse-hb16
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
