期刊文献+

计算机仿真在浮选过程中的应用 被引量:4

THE APPLICATION OF COMPUTER SIMULATION IN FLOTATION
在线阅读 下载PDF
导出
摘要 根据浮选动力学方程的通用数学模型,利用MATLAB中的Simulink软件工具,构建了分批浮选、最佳浮选时间及连续性浮选过程的模块,介绍了其构建原理。利用Simulink仿真的关键在于对仿真对象有效建模,利用 Simulink仿真软件对分批浮选和最佳浮选时间进行了计算机仿真,仿真结果与引用的试验数据基本一致,验证了浮选动力学方程通用数学模型的合理性,同时表明计算机仿真可以应用于浮选过程中,并探讨了最简化的连续性浮选过程计算机仿真模块。 On the basis of the current mathematical model of flotation kinetics equation, utilized Simulink's software tool in the MATLAB, constructed the batching flotation and the optimum flotation time and the continous flotation process in MATLAB/Simulink, and introduced the rule to form constructing the model. The key of simulation is rested on the valid model building of target in Simulink ,the flotation simulation in MATLAB/Simulink is verified flotation mathematical model Validity, the batching flotation and the optimum flotation time has carried oncalculating machine simulation by Simulink simulation software, the simulation result is obtained, which is accorded with the cited test data, and provided that the computer machine simulation was applied to the flotation process. Moreover constructed the most simplified continuous flotation process.computer simulation modell.
出处 《有色金属(选矿部分)》 CAS 2006年第1期45-48,共4页 Nonferrous Metals(Mineral Processing Section)
关键词 仿真 SIMULINK 数学模型 浮选 simulation Simulink mathematic model flotation
  • 相关文献

参考文献12

  • 1Yaghoubi M,Azizian K,Kenary A.Simulation of Shiraz solar power plant for optimal assessment[J].Renewable Energy,2003,28:1985-1998.
  • 2Yi Ching Hsieh,Neng Pai Lin,Hung Chang Chiu.Virtual factory and relationship marketing-a case study of a Taiwan semiconductor manufacturing company [J].International Journal of Information Management,2002,22:109-126.
  • 3Cilek E C.Application of neural networks to predict locked cycle flotation test results.Minerals Engineering[J],2002,15:1095-1104.
  • 4Brochot S,Durance M V,Villeneuve J,et al.Modelling of the bioleaching of sulphide ores:application for the simulation of the bioleaching/gravity section of the Kasese Cobalt Company Ltd process plant[J].Minerals Engineering,2003,17:253-260.
  • 5于军琪,席爱民,傅景海.模糊自适应学习控制(FALCON)在磨矿分级系统中的应用[J].西安建筑科技大学学报(自然科学版),2000,32(2):175-178. 被引量:4
  • 6刘文礼,路迈西,任守政,王振羽中,安贞,寇超军.煤泥浮选数学模型及其仿真器的研究[J].中国矿业大学学报,2000,29(6):592-595. 被引量:6
  • 7Munoz C,CiPriano A.An integrated system for supervision and economic optimal control of mineral processing plants[J].Minerals Engineering,1999,12(6):627-643.
  • 8Sosa-Blanco C,Hodouin D,Bazin C,et al.Integrated Simulation of grinding and flotation application to a lead-silver ore[J].Minerals Engineering,1999,12(8):949-967.
  • 9王会清,张守元.预测模糊控制在磨矿分级过程的应用研究[J].矿冶工程,2002,22(3):60-62. 被引量:11
  • 10Liu Yi,Spencer Steven.Dynamic simulation of grinding circuits[J].Minerals Engineering,2004,17:1189-1198.

二级参考文献13

  • 1刘文礼.煤泥浮选数学模型及其仿真器的研究[M].北京:中国矿业大学北京校区,1998..
  • 2-.回归分析及其试验设计[M].上海:上海教育出版社,1978..
  • 3汤跃忠 张乃尧.模糊神经网络及其在智能控制中的应用[J].清华大学学报,1995,35(3):82-88.
  • 4张礼刚.分级机溢流浓度的自校正控制[J].冶金自动化,1987,(1).
  • 5席裕庚.预防控制[M].北京:国防工业出版社,1993.5-9.
  • 6刘文礼,煤泥浮选数学模型及其仿真器的研究 [D],1998年
  • 7顾启泰,系统设计与仿真,1995年
  • 8回归分析及其试验设计,1978年
  • 9WANG SITONG. Fuzzy iterative-depening heuristic search asgorithm and its learning investigation[J]. Int. Fuzzy sets and systems, 1996, 82(3): 351-355.
  • 10程涛,左静,刘艳明,杨叔子.基于单个神经元的自适应模糊控制器及其应用[J].控制理论与应用,1999,16(4):621-624. 被引量:4

共引文献18

同被引文献27

  • 1熊昕东,袁宗明.序贯模块法在天然气加工系统模拟中的应用[J].新疆石油学院学报,2004,16(2):48-51. 被引量:2
  • 2罗仙平,夏青,王建峰.选矿工艺数学建模现状与展望[J].四川有色金属,2004(2):48-50. 被引量:4
  • 3杨英杰,邓会勇,李侠.基于MATLAB/Simulink的粒度分离过程计算机仿真[J].中国有色金属学报,2006,16(2):346-350. 被引量:5
  • 4YANG Ying-jie,DENG Hui-yong,LI Xia.Simulation of Screening Process Based on MATLAB/Simulink[J].Journal of China University of Mining and Technology,2006,16(3):330-332. 被引量:4
  • 5Soderman P,Storent U,Samakog P O,et al.Modelling the new LKAB Kiruna concentrator with USIM PAC[J].International Journal of Mineral Processing, 1996,44(3 ) : 223-235.
  • 6Evangelatos D S.Reachability matrix by partitioning and related Boolean results[J].Journal of the Franklin Institute,1989,326(3): 409-419.
  • 7殷人昆,陶永雷,谢若阳,等.数据结构[M].北京:清华大学出版社,2000.
  • 8Huband S ,Tuppurainen D ,While L,et al. Maxirnising overall value in plant design [ J ]. Minerals Engineering,2006,19 : 1470-1478.
  • 9Huang Dongming, Fan Xiumin, Wu DianLiang, et al. Multi-objective planning of cone crusher chamber, output and size reduction [ J ]. Minerals Engineering,2007,20 : 163-172.
  • 10Salazar J L, Magne L, et al. Dynamic modelling and simulation of semi-autogenous mills [ J ]. Minerals Engineering,2009,22:70-77.

引证文献4

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部