Statistical validation for an experimental model of copper extraction from chalcocite

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Published: Apr 29, 2019
Keywords:
Copper extraction sulfur minerals design of experiments statistical validation predictive model

Main Article Content

Manuel Saldaña
Universidad Católica del Norte
Norman Toro
Universidad Católica del Norte
Jonathan Castillo
Universidad de Atacama
Rossana Sepúlveda
Universidad de Atacama
Edelmira Gálvez
Universidad Católica del Norte

Abstract

The effects of sulfuric acid, chlorine concentration and time in the extraction of copper from sulphured minerals (chalcocite) were studied, considering the methodology of surface optimization and the adjustment of a quadratic model for the representation of the experimental design. The experimental data were adjusted by multiple regression analysis to a quadratic equation and analyzed statistically. A model was developed to predict the copper extraction of the Cu2S mineral with the variables chlorine concentration and time, the only statistically significant variables that contribute to explain the variability of the model under the set of parameters considered in the sample.

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How to Cite
Saldaña, M., Toro, N., Castillo, J., Sepúlveda, R. and Gálvez, E. (2019) “Statistical validation for an experimental model of copper extraction from chalcocite”, INFOMIN, 11. Available at: https://www.infomin.edicionescervantes.com/index.php/i/article/view/117 (Accessed: 12 September 2026).
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Vol. 11 (2019): january-december
Section
Artículos Originales

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