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Juan Yianatos

Researcher at Federico Santa María Technical University

Publications -  109
Citations -  1932

Juan Yianatos is an academic researcher from Federico Santa María Technical University. The author has contributed to research in topics: Froth flotation & Residence time distribution. The author has an hindex of 24, co-authored 99 publications receiving 1744 citations. Previous affiliations of Juan Yianatos include Valparaiso University.

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The long way toward multivariate predictive control of flotation processes

TL;DR: In this paper, an analysis on how the characteristics of flotation processes, the quality of measurements of key variables, and the general lack of realistic dynamic models, are delaying the appropriate use of predictive control is presented.
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Hydrodynamic and metallurgical characterization of industrial flotation banks for control purposes

TL;DR: An industrial flotation circuit consisting of five parallel rougher flotation banks, each bank provided with 9 cells of 42.5 m 3, was characterized in this paper, where the air flow rate delivered over the cross-sectional area was directly measured using a simple device that provides a continuous measurement of local gas flow rate.
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Particle entrainment model for industrial flotation cells

TL;DR: In this article, a simple dimensionless model to calculate the mineral gangue recovered per size class (RG,i) by entrainment, in terms of the water recovery (RW), in an industrial flotation cell is presented.
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Froth recovery of industrial flotation cells

TL;DR: In this paper, the mass flowrate of particles entering the froth by true flotation was evaluated from direct measurement of bubble load (ton/m3) and gas flowrate (m3/h).
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Mixing characteristics of industrial flotation equipment

TL;DR: In this article, the mixing characteristics of large-size industrial flotation equipment, consisting of banks of mechanical cells and pneumatic columns, have been observed using non-invasive experimental techniques, such as a radioactive tracer to measure the residence time distribution of the liquid and solid.