...
首页> 外文期刊>Mineral Processing and Extractive Metallurgy Review: An International Journal >Probability and Sensitivity Analysis in Flotation Circuit of Bama Lead and Zinc Processing Plant Using Monte Carlo Simulation Method
【24h】

Probability and Sensitivity Analysis in Flotation Circuit of Bama Lead and Zinc Processing Plant Using Monte Carlo Simulation Method

机译:基于蒙特卡罗模拟法的巴马铅锌加工厂浮选回路的概率和灵敏度分析。

获取原文
获取原文并翻译 | 示例
           

摘要

The feed to mineral processing plants has fluctuations in assay, particle size, etc. These fluctuations have a strong influence on the efficiency of purifying lead and zinc processes. In simple circuits of mineral processing units, sensitivity analysis is applicable using analytical solutions, but this method is very difficult, time consuming and inaccurate for simulation of complex circuits. Nevertheless, Monte Carlo simulation method is an accepted tool for probability calculation and sensitivity analysis of complex circuits. In this paper, input data are collected from line 1 of flotation circuit of Bama lead and zinc processing plant (Isfahan, Iran) during 3 months of three 8-hour shifts per day. Distribution and probability density function of input data are determined using @Risk software in Excel. Then, the probability density function of output data (flow rates of lead concentrate, zinc concentrate, tailings, recovery of lead and zinc) are calculated using Monte Carlo simulation (with 100,000 iterations). Finally, the sensitivity of output parameters to input parameters is determined.View full textDownload full textKeywords@Risk software, lead-zinc flotation, Monte Carlo simulation, probability and sensitivity analysisRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/08827508.2011.623746
机译:选矿厂的进料在分析,粒径等方面存在波动。这些波动对纯化铅和锌工艺的效率有很大影响。在矿物处理单元的简单电路中,可以使用分析解决方案来进行灵敏度分析,但是这种方法非常困难,耗时且对复杂电路的仿真不准确。尽管如此,蒙特卡罗仿真方法还是用于复杂电路的概率计算和灵敏度分析的公认工具。在本文中,输入数据是在巴马铅锌加工厂(伊朗伊斯法罕)的浮选回路的第1行中收集的,每天3个班,每班8小时,为期3个月。使用Excel中的@Risk软件确定输入数据的分布和概率密度函数。然后,使用蒙特卡洛模拟(100,000次迭代)计算输出数据的概率密度函数(铅精矿,锌精矿的流量,尾矿,铅和锌的回收率)。最后,确定输出参数对输入参数的敏感度。 “ citeulike,netvibes,twitter,technorati,美味,linkedin,facebook,stumbleupon,digg,google,更多”,pubid:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/08827508.2011.623746

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号