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作 者:李萍丰 过江[3] 赵培东 唐洪佩 LI Ping-feng;GUO Jiang;ZHAO Pei-dong;TANG Hong-pei(Safety Intelligent Mining of Non-Coal Open-Pit Mines Key Laboratory of National Mine Safety Supervision Bureau,Zhaoqing 526530,China;Hongda Blasting Engineering Group Co.,Ltd.,Guangzhou 510623,China;Central South University,Changsha,410083,China)
机构地区:[1]非煤露天矿山安全智能开采国家矿山安全监察局重点实验室,肇庆526530 [2]宏大爆破工程集团有限责任公司,广州510623 [3]中南大学,长沙410083
出 处:《爆破》2025年第1期1-9,共9页Blasting
基 金:国家科技重大专项(2024ZD1003406);国家自然科学基金面上项目(52174140)。
摘 要:矿石破碎是矿石开采和矿石加工的关键环节,爆破破碎与机械破碎的能耗关系一直是行业关注的重点。依据某铁矿的工业性试验数据,通过分析母岩块度级配曲线特征参数与机械破碎电量消耗的关联,确定了筛下最大块度(D 75)作为机械破碎电量消耗的敏感指标。构建了爆破共享理论模型,采用最佳母岩级配曲线R=1-exp[-(X/282.1)^(1.69)]调控母岩块度级配,验证了其对矿山总成本优化的有效性,最终实现了矿山总成本降低17.63%的目标。Ore crushing is a crucial phase in hard rock mining and mineral resource recovery,significantly focusing on optimizing the energy consumption balance between blasting and mechanical crushing.This study analyzed industrial test data from an iron mine to explore the relationship between parent rock size distribution characteristics and mechanical crushing energy sensitivity,providing a theoretical foundation for process optimization and energy efficiency improvement.Initially,the connection between the key parameters of the parent rock size distribution curve and crushing power consumption was investigated.Subsequently,the maximum block size under the screen(D 75)was identified as a sensitive indicator for crushing power consumption through correlation analysis.Finally,a theoretical model based on shared blasting control was developed,utilizing an optimal parent rock size distribution curve,R=1-exp[-(X/282.1)^(1.69)]to control the block size.Field application of this model demonstrates a cost reduction of 17.63%,affirming its potential for enhancing energy management and cost efficiency in mining operations.
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