Title of article :
Copper recovery from thickener overflow by electrocoagulation/flotation: optimization of response surface, modeling, and sludge study
Author/Authors :
Hasanzadeh-Sablouei, A Department of Mining Engineering - Higher Education Complex of Zarand - Kerman, Iran , Moosavirad, S.M Department of Environment - Institute of Science and High Technology and Environmental Sciences - Graduate University of Advanced Technology - Kerman, Iran
Abstract :
The electrocoagulation/flotation process is a novel approach in mining industry that is
implemented to return Cu metal to the production cycle, which improves copper
recovery and reduces waste water. In this research work, the response surface
methodology was applied to optimize the factors effective in Cu metal recovery and
sludge volume produced from thickener overflow. To this end, the D-optimal
experimental design was utilized. The influences of four independent parameters
including the electrolysis time, initial pH, current density, and electrodes type were
studied to investigate the initial Cu grade percentage (28%) and sludge volume
produced from thickener overflow. All these parameters were found to have important
effects on the Cu metal recovery and the sludge volume produced. The linear and
quadratic models were utilized for the Cu grade and sludge volume, respectively. The
importance of the independent variables and the interaction between them was assessed
by ANOVA. The optimum operating conditions with 27.22% Cu grade were taken to
be: electrolysis time: 6.5 min, initial pH: 6.7, current density: 50.2 A/m2, and electrode
type: Fe-Al. Similarly, for the produced sludge volume of 861 cm3, the following
conditions were found: electrolysis time: 15 min, initial pH: 4.1, current density: 48.7,
and electrode type: Fe-Al. The outcomes underscored a practical viewpoint of
electrocoagulation, known as an acceptable method for Cu recovery from mine
industrials, especially in mineral processing plants
Keywords :
Optimization , Copper Recovery , Electrocoagulation Flotation , Mining Industry , D-Optimal Experimental Design