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金属矿山 ›› 2025, Vol. 54 ›› Issue (11): 146-151.

• 矿物工程 • 上一篇    下一篇

辉钼矿粗粒磨矿产品流化床浮选动力学研究

罗 朗1,2,3 陈传富1,2,3 何 琦1,2,3 尹青临1,2,3 丁世豪1,2,3 邢耀文1,2 桂夏辉1,2   

  1. 1.中国矿业大学炼焦煤资源绿色开发全国重点实验室,江苏 徐州 221116;2.中国矿业大学国家煤加工与洁净化工程 技术研究中心,江苏 徐州 221116;3.中国矿业大学化工学院,江苏 徐州 221116
  • 出版日期:2025-11-15 发布日期:2025-12-01
  • 通讯作者: 桂夏辉(1985—),男,教授,博士,博士研究生导师。
  • 作者简介:罗 朗(2001—),男,硕士研究生。
  • 基金资助:
    国家自然科学基金项目(编号:52274278)。

 Flotation Kinetic Study of Coarse Grinding Products of Molybdenite in a Fluidized Bed

LUO Lang1,2,3 CHEN Chuanfu1,2,3 HE Qi1,2,3 YIN Qinglin1,2,3 DING Shihao1,2,3 XING Yaowen1,2 GUI Xiahui1,2   

  1. 1.State Key Laboratory of Coking Coal Resources Green Exploitation,China University of Mining and Technology, Xuzhou 221116,China;2.National Engineering Research Center of Coal Preparation and Purification,China University of Mining and Technology,Xuzhou 221116,China;3.School of Chemical Engineering & Technology, China University of Mining and Technology,Xuzhou 221116,China
  • Online:2025-11-15 Published:2025-12-01

摘要: 粗粒流化床浮选抛废技术能够显著降低磨矿能耗、提升入选品位。针对粗颗粒浮选过程中动力学规律 不明的问题,开展了低品位辉钼矿粗粒磨矿产品的流化床浮选动力学试验,考察了气速、水速和床层高度对流化床浮 选动力学的影响规律。选取经典一级动力学模型、经典二级动力学模型、一级矩阵分布模型和二级矩阵分布模型4种 动力学模型进行拟合分析,并在最适动力学模型下进行了阶段速率常数k的分析。结果表明:Mo回收率与水速、气速 呈正相关,与床层高度呈负相关。粗粒浮选过程最符合经典二级动力学模型(R2≥0.998 2,SSE≤1.531 2)。在该模 型框架下,阶段浮选速率常数k随水速、气速的增加而升高,最大k值为0.004;随床层高度上升而逐渐减小。研究明 确了粗粒矿物浮选的最适动力学模型及关键操作参数对阶段速率常数k的调控作用,为粗颗粒浮选工艺优化提供理 论支持。

关键词: Coarse particle fluidized bed flotation for pre-concentration effectively reduces grinding energy consumption and enhances feed grade.Addressing the unclear kinetic behavior in coarse particle flotation,a flotation kinetic study was con ducted on low-grade coarse grinding products of molybdenite in a fluidized bed.The effects of gas velocity,water velocity,and bed height on the flotation kinetics were investigated.Four kinetic models were selected for fitting analysis:the classical first order and second-order kinetic models,as well as their corresponding distributed rate constant models with rectangular distribu tions.The best-fitting model was then used to analyze the stage-wise flotation rate constant (k) under varying operating param eters.The results indicate that the Mo recovery rate is positively correlated with water velocity and gas velocity,but negatively correlated with bed height.The coarse particle flotation process is best described by the classical second-order kinetic model (R2≥0.998 2,SSE≤1.531 2).Within this model framework,the stage flotation rate constant (k) increases with increasing water velocity and gas velocity,with a maximum (k) value of 0.004, It gradually decreases with increasing bed height.This study clarifies the optimal kinetic model for coarse particle flotation and the regulatory role of key operating parameters on the stage rate constant (k),providing theoretical support for the optimization of coarse particle flotation processes.

Abstract: 流化床浮选 粗粒辉钼矿 单因素试验 动力学模型

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