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国内某铁矿充填工艺技术优化研究
引用本文:彭志华,陈鑫政,郭利杰,赵 越,杨 超.国内某铁矿充填工艺技术优化研究[J].有色金属(矿山部分),2022,74(5):25-30.
作者姓名:彭志华  陈鑫政  郭利杰  赵 越  杨 超
作者单位:云南富宁县博奥矿业有限公司,矿冶科技集团有限公司,矿冶科技集团有限公司,矿冶科技集团有限公司,矿冶科技集团有限公司
基金项目:国家重点研发计划项目(2021YFE0102900);国家自然科学基金资助项目(52104131);矿冶集团青年创新基金项目(04-1926)
摘    要:为解决国内某矿山充填工艺系统堵管事故频发和充填体质量差等问题,提出优化充填骨料级配和管线敷设的技术思路,并开展试验研究和现场应用验证。结果表明:分级粗尾砂和细尾砂的最佳混合比例为5:5~6:4,质量浓度74%~78%的充填料浆可实现自流输送,分级细尾砂浓缩最佳进料浓度为8%~10%,絮凝剂添加量为10~15 g/t,底流高度可达到56% ~ 60%。通过优化充填管线敷设,充填管线减少485 m,平均充填倍线由6.4降至4.5,矿山应用验证优化后的充填骨料和充填管线,保障了充填工艺参数的稳定性,提高了充填体质量,实现了矿山高效稳定充填。

关 键 词:分级粗尾砂  分级细尾砂  絮凝沉降  管线优化  自流输送
收稿时间:2022/6/14 0:00:00
修稿时间:2022/6/15 0:00:00

Optimization of backfilling technology in a domestic iron mine
Authors:chenxinzheng  and
Affiliation:Yunnan Funing Boao Mining Co., Ltd,Beijing General Research Institute of Mining and Metallurgy,,,
Abstract:To solve the problems of frequent pipe blockage accidents and poor quality of the backfill in a domestic mine, a technical idea for optimizing the filling tailings particle size distribution and pipeline laying was proposed, and experiments and field application verification ascarried out. The results show that the optimal mixing ratio of classified coarse tailings and fine tailings is between 5:5 and 6:4, and the filling slurry with a mass concentration of 74% to 78% can realize gravity transportation. To achieve an efficient concentration of classified fine tailings, the best feed slurry concentration is 8%~10%, the amount of flocculant added is 10~15g/t, and the underflow concentration can reach 56%~60%. By optimizing the laying of the filling pipeline, the filling pipeline is reduced by 485 meters, and the average filling multiplier is reduced from 6.4 to 4.5. The optimized filling tailings and pipeline laying were used in the mine application verification, which ensured the stability of the backfilling parameters and improved the quality of the backfill, and achieved efficient and stable mine filling.
Keywords:classified coarse tailings  classified fine tailings  flocculation sedimentation  Pipeline optimization  gravity transportation
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