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作 者:薛宏超 刘建祥 董节功 张兴亚 王琴 郭彦成 XUE Hongchao;LIU Jianxiang;DONG Jiegong;ZHANG Xingya;WANG Qin;GUO Yancheng(Luoyang Mining Machinery Engineering Design Institute Co.,Ltd.,Luoyang 471039,Henan,China;State Key Laboratory of Intelligent Mining Heavy Equipment,Luoyang 471039,Henan,China;Changba Lead-Zinc Mine,Gansu Changba Nonferrous Metals Co.,Ltd.,Longnan 742500,Gansu,China;CITIC Heavy Industries Co.,Ltd.,Luoyang 471039,Henan,China)
机构地区:[1]洛阳矿山机械工程设计研究院有限责任公司,河南洛阳471039 [2]智能矿山重型装备全国重点实验室,河南洛阳471039 [3]甘肃厂坝有色金属有限公司厂坝铅锌矿,甘肃陇南742500 [4]中信重工机械股份有限公司,河南洛阳471039
出 处:《矿山机械》2025年第1期34-39,共6页Mining & Processing Equipment
摘 要:针对磨矿流程能效评价缺乏磨矿与分级整体分析的问题,通过研究影响磨矿流程能效的功率消耗、矿石性质、分级系统效率和磨矿效率4个关键因素,以厂坝铅锌矿球磨闭路流程为例,介绍流程数据测量、能效评价构成及应用,将能效评价与性能优化相结合,获得最佳优化策略。优化后,系统磨矿能耗降低7.56%,“过磨”产品质量分数降低2.98%,钢球消耗降低9.50%,衬板寿命预计提升20%,且回路优化效果具有复现性。In view of the lack of overall analysis of grinding and classification in the energy efficiency evaluation of grinding process,four key factors affecting the energy efficiency of grinding process were studied,including power consumption,ore properties,classification system efficiency and grinding efficiency.Then,taking the ball mill closed-circuit process of Changba Lead-Zinc Mine as an example,the process data measurement,energy efficiency evaluation composition and application were introduced,and the energy efficiency evaluation and performance optimization were combined to obtain the best optimization strategy.After optimization,the grinding energy consumption of the system was reduced by 7.56%,the product mass fraction of"over-grinding"was reduced by 2.98%,the consumption of steel balls was reduced by 9.5%,the life of liner was expected to increase by 20%,and the effect of loop optimization was reproducible.
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