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作 者:杨英杰[1] 范兆琳[1] 刘新星[1] 强鹏翔[1] 龚正[1]
机构地区:[1]中南大学资源加工与生物工程学院,湖南长沙410083
出 处:《非金属矿》2013年第2期36-39,共4页Non-Metallic Mines
基 金:国家自然科学基金(50774102)
摘 要:按能否改变ε-γ(回收率-产率)曲线把影响浮选过程的因素分为两类,基于正态分布的实际单元品位曲线构造了ε-γ曲线模型,并对云南某胶磷矿等7座矿山的浮选指标进行8种数学模型的拟合对比,结果表明,正态分布的ε-γ曲线模型拟合最好,应用于浮选指标预测误差小,为浮选指标的预测、评价与监控提供了可行的技术手段。The influence factors of the flotation process can be divided into two categories according to the change of the ε-y (recovery-yield) curve, and the ε-y curve was constructed basing on the normal distribution of the actual mineral's unit grade curve. The flotation indexes of seven mines, including collphanite ore in Yunnan province and so on were fitted and contrasted by various mathematical models, the results showed that the normal distribution model had high fitting precision, small matching errors in the prediction of flotation indexes, and provided the feasible technical means for the prediction, evaluation and monitoring of flotation indexes.
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