应用模糊逻辑研究粒度对方铅矿浮选动力学的影响  

Effect of Particle Size on Galena Flotation Kinetics Using Fuzzy Logic

作　　者：李俊旺[1] 孙传尧[2] 印万忠[1] 袁闯[1] 

机构地区：[1]东北大学资源与土木工程学院,辽宁沈阳110819 [2]北京矿冶研究总院矿物加工科学与技术国家重点实验室,北京100070

出　　处：《东北大学学报（自然科学版）》2012年第2期279-283,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(51074037)

摘　　要：通过分批浮选试验方法研究了粒度对方铅矿浮选动力学的影响.结果表明,随着粒度的增加,浮选回收率呈现先升后降的趋势,而浮选速度常数则逐渐降低.方差分析表明,粒度仅对浮选速度常数具有显著影响.应用MATLAB软件设计了一个以颗粒粒度和浮选时间为输入变量,浮选累计回收率为输出变量的模糊逻辑推理系统.仿真研究表明,平均粒度分别为34,46,64,87和112.5μm的方铅矿浮选回收率的仿真值与试验值之间的相关系数分别为0.984,0.981,0.981,0.993和0.988,证明模糊逻辑理论用于浮选动力学研究是可行和有效的.In order to study the effect of particle size on galena flotation kinetics, the batch flotation tests were conducted. The results showed that the flotation recovery rate increases initially and then decreases with increasing particle size, while the flotation rate constant decreases gradually. Variance analysis showed that only the flotation rate constant is significantly influenced by particle size. A multi-input＆ingle-output （MISO） fuzzy logic inference system was established with MATLAB, where particle size and flotation time were input variables and cumulative recovery rate was output variable. Simulation analysis showed that the correlation coefficients were 0.984, 0.981, 0.981, 0.993 and 0.988 for average particle sizes of 34,46,64,87 and 112.5/μm, respectively. The studies prove that it is feasible and effective to study mineral flotation kinetics using fuzzy logic theory.

关 键 词：方铅矿 浮选动力学 模糊逻辑 粒度 MATLAB 

分 类 号：TD923[矿业工程—选矿]