Kinetic approach to the study of froth flotation applied to a lepidolite ore

作     者：Nathália Vieceli Fernando O.Durao Carlos Guimaraes Carlos A.Nogueira Manuel F.C.Pereira Fernanda Margarido 

作者机构：Center for InnovationTechnology and Policy Research-IN+Instituto Superior T6cnicoUniversity of Lisbon1049-001 LisboaPortugal CERENA-Centro de Recursos Naturais e AmbienteDECivilInstituto Superior TecnicoUniversity of Lisbon1049-001 LisboaPortugal LNEG-Laboratorio Nacional de Energia e GeologiaI.P.Campus do Lumiar1649-038 LisboaPortugal 

出 版 物：《International Journal of Minerals,Metallurgy and Materials》 (矿物冶金与材料学报（英文版）)

年 卷 期：2016年第23卷第7期

页      面：731-742页

核心收录：

学科分类：081902[工学-矿物加工工程] 0819[工学-矿业工程] 08[工学] 

基　　金：the doctorate grant ref.9244/13-1 supplied by Coordenacao de Aperfeicoamento de Pessoal de Nível Superior-CAPES Foundation Ministry of Education of Brazil 

主　　题：lepidolite lithium ore treatment froth flotation kinetic analysis 

摘      要：The number of published studies related to the optimization of lithium extraction from low-grade ores has increased as the demand for lithium has grown. However, no study related to the kinetics of the concentration stage of lithium-containing minerals by froth flotation has yet been reported. To establish a factorial design of batch flotation experiments, we conducted a set of kinetic tests to determine the most selective alternative collector, define a range of pulp p H values, and estimate a near-optimum flotation time. Both collectors（Aeromine 3000 C and Armeen 12D） provided the required flotation selectivity, although this selectivity was lost in the case of pulp p H values outside the range between 2 and 4. Cumulative mineral recovery curves were used to adjust a classical kinetic model that was modified with a non-negative parameter representing a delay time. The computation of the near-optimum flotation time as the maximizer of a separation efficiency（SE） function must be performed with caution. We instead propose to define the near-optimum flotation time as the time interval required to achieve 95%–99% of the maximum value of the SE function.