| 膏体深锥浓密系统可靠性分析及系统优化研究 |
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| 引用本文： | 郭春攀,胡乃联,潘金城,程海勇,王贻明.膏体深锥浓密系统可靠性分析及系统优化研究[J].矿冶,2016,25(2):5-8. |
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| 作者姓名： | 郭春攀 胡乃联 潘金城 程海勇 王贻明 |
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| 作者单位： | 北京科技大学土木与环境工程学院，中色非洲矿业有限责任公司,北京科技大学土木与环境工程学院,中色非洲矿业有限责任公司,北京科技大学土木与环境工程学院,北京科技大学土木与环境工程学院 |
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| 基金项目： | 国家“十二五”科技支撑计划资助项目(2012BAB08B02)；国家自然科学(51104010)。 |
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| 摘 要： | 全尾砂深锥浓密系统是膏体制备的重要环节。由于深锥浓密机结构及工作原理较为复杂,运行工况不稳定,生产故障导致的系统停机频繁发生。从系统可靠性的角度对深锥浓密系统进行了分析,建立了深锥浓密系统的事故树模型,对各子系统结构重要度进行了排序,得到了首要因素为:浓度过高造成的管路堵塞,并计算了其发生概率为0.025。通过试验研究,对深锥浓密底流参数进行了优化。通过对砂浆流动性研究,对流动指数进行了回归分析,得到了全尾砂浆的临界浓度为69%。为现场故障预测与系统优化提供了理论依据。
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| 关 键 词： | 膏体 深锥浓密 可靠性 事故树 流动指数 |
| 收稿时间： | 2015/4/28 0:00:00 |
| 修稿时间： | 5/4/2015 12:00:00 AM |
RELIABILITY ANALYSIS AND OPTIMIZATION OF THE PASTE THICKENING SYSTEM |
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| guochunpan,hunailian,panjincheng,chenghaiyong and wangyiming.RELIABILITY ANALYSIS AND OPTIMIZATION OF THE PASTE THICKENING SYSTEM[J].Mining & Metallurgy,2016,25(2):5-8. |
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| Authors: | guochunpan hunailian panjincheng chenghaiyong and wangyiming |
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| Affiliation: | School of Civil & Environmental Engineering,University of Science and Technology Beijing; NFC Africa Ming PLC,School of Civil & Environmental Engineering,University of Science and Technology Beijing,NFC Africa Ming PLC,School of Civil & Environmental Engineering,University of Science and Technology Beijing,School of Civil & Environmental Engineering,University of Science and Technology Beijing |
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| Abstract: | The backfilling deepcone thickening system is an important part of the paste preparation.Due to the deep cone thickener is complicated in structure and working principle, itsoperation condition is not stable which frequently result in system halted.Analyses the deep cone thickening system from the perspective of system reliability and establishes fault tree model of deep cone thickening system.Rank the importance degree of each subsystem structure to find the dominant sector:pipe plugging caused by excessive concentration,and calculates its probability is 0.025.Through the experimental study, optimizethe deep cone bottom flow parameters.The regression analysis was conducted for the flow index, through the study of mortar liquidity, and getting the whole tailings slurry critical concentration is 69%, which provides a theoretical basis for field failure prediction and system optimization. |
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| Keywords: | paste deep cone thick reliability fault tree flow index |
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