A multidimensional analysis and modelling of flotation process for selected Polish lithological copper ore types

• Published in: E3S Web of Conferences Vol. 18; p. 1005
• Main Authors: Niedoba, Tomasz, Surowiak, Agnieszka, Pięta, Paulina
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 01.01.2017
• Subjects: Beneficiation; Cadmium; Complexity; Concentrates (ores); Coordination compounds; Copper; Copper ores; Data analysis; Data processing; Flotation; Mathematical models; Mine tailings; Minerals; Modelling; Multidimensional data; Multidimensional methods; Online analytical processing; Process parameters; Recovery; Regression analysis; Sandstone; Statistical analysis; Statistical methods; Stochasticity
• ISSN: 2267-1242; 2555-0403; 2267-1242
• DOI: 10.1051/e3sconf/201712301005

The flotation of copper ore is a complex technological process that depends on many parameters. Therefore, it is necessary to take into account the complexity of this phenomenon by choosing a multidimensional data analysis. The paper presents the results of modelling and analysis of beneficiation process of sandstone copper ore. Considering the implementation of multidimensional statistical methods it was necessary to carry out a multi-level experiment, which included 4 parameters (size fraction, collector type and dosage, flotation time). The main aim of the paper was the preparation of flotation process models for the recovery and the content of the metal in products. A MANOVA was implemented to explore the relationship between dependent (β, ϑ, ε, η) and independent (d, t, cd, ct) variables. The design of models was based on linear and nonlinear regression. The results of the variation analysis indicated the high significance of all parameters for the process. The average degree of matching of linear models to experimental data was set at 49% and 33% for copper content in the concentrate and tailings and 47% for the recovery of copper minerals in the both. The results confirms the complexity and stochasticity of the Polish copper ore flotation.