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基于试验统计的多极交变磁选数学评价模型的建立与分析

DESIGN AND ANALYSIS OF MATHEMATICAL EVALUATION MODEL FOR MULTIPOLE ALTERNATING MAGNETIC SEPARATION BASED ON EXPERIMENTAL STATISTICAL METHOD
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摘要 采用细碎工艺及磨前多段预选抛废分选工艺是磁铁矿选厂提高经济效益的重要途径。针对常规磁系干式磁选机由于其本身磁场的局限性,无法解决细粒干选过程中由于磁团聚导致矿物可选性变差这一问题,提出采用多极交变磁场磁选机应用于细碎后磁铁矿石预选作业。在对多极交变磁场分选机理分析基础之上,计算出磁性矿粒完成一个完整分选过程的数学表达式,采用试验统计方法以尾矿磁性铁含量M和抛废率γ评价目标值建立数学评价模型,并求解出最优参数,为多极交变磁场磁选机的设计提供基础理论指导。 It is an important approach to improve the economic efficiency of magnetite concentrator by adopting fine crushing technology and multi stage coarse preconcentration process before grinding The conventional magnetic separator with limitation in magnetic field,can not solve the problem of ore separability getting worse because of magnetic agglomeration Because of the above mentioned reasons,multi pole alternating magnetic separator is proposed to be applied to magnetite ore preconcentration after fine crushing Based on the analysis of the separation mechanism of multipole magnetic field,a mathematical expression for a complete separate process of magnetic particles is developed And then the mathematical evaluation model for magnetic iron content of tailings M and discard rateγis established by means of experimental statistical method,and the optimum parameter be solved All the above provides the basic theoretical guidance for the design of multipole alternating magnetic separator
作者 魏红港 冉红想 赵海亮 王晓明 WEI Hong gang;RAN Hong xiang;ZHAO Hai liang;WANG Xiao ming(BGRIMM Machinery & Automation Technology Co , Ltd, Beijing 100160,China;BeijingGeneral Research Institute of Mining & Metallurgy,Beijing 100160,China)
出处 《矿冶》 CAS 2017年第6期72-75,84,共5页 Mining And Metallurgy
基金 北京市科技计划项目(Z161100001216001) 国家国际科技合作专项项目(2015DFR70660)
关键词 细粒预选 多极交变磁场磁选机 翻转次数 数学评价模型 fine preconcentration multipole alternating magnetic separator turnover times mathematical evaluation model
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