Title of article
Modelling and optimization of digestion efficiency of bauxite in Bayer process: Iran Alumina company
Author/Authors
Karamoozian, M Faculty of Mining - Petroleum & Geophysics Engineering - Shahrood University of Technology - Shahrood, Iran , Khani, M.R
Pages
11
From page
799
To page
809
Abstract
In the present work, we investigated and optimized the digestion efficiency, A/S
(Al2O3/SiO2 in red mud), and N/S (Na2O/SiO2 in red mud) of mixed bauxite in Iran
Alumina Company using the Bayer process. Digestion experiments were carried out in
an induction rotary autoclave on a mix of Jajarm, Yazd, Tash, and Shirin Cheshmeh
bauxites. A 4-factor 3-level response surface methodology was applied for the design
and analysis of the experiment with the optimization of Na2O concentration, digestion
temperature, residence time, and amount of lime addition. Towquadratics and one linear
model were derived for the prediction of digestion efficiency, and A/S and N/S
responses. The results obtained showed that the optimum amounts for Na2O
concentration, temperature, amount of lime addition and residence time were 180 g/L,
275°C, 7.73%, and 50 minutes, respectively, in which the digestion efficiency, A/S, and
N/S reached 72.05%, 1.169, and 0.27, respectively. Validation experiment showed that
the digestion efficiency, A/S, and N/S were 72.24%, 1.162, and 0.28% respectively,
which meant a 2% increase in digestion efficiency and a 0.09 and 0.02 decrease in A/S
and N/S, respectively, compared to the current operating condition.
Keywords
Response Surface Methodology , Modelling , Digestion Efficiency , Optimization , Bayer Process Bauxite
Journal title
Astroparticle Physics
Serial Year
2019
Record number
2455485
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