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1. Banana screening method and simulation of banana screening process using discrete element method | |||
ZHAO Lala,LIU Chusheng,DONG Hailin | |||
Mine Engineering and Technology 29 January 2012 | |||
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Abstract:In this paper the fundamentals of banana screening method and the structural features of the banana screen were presented. Based on soft-dry ball contact model, banana screening process was simulated by using 3D discrete element method. The results show that the material bed on banana screen possesses a characteristic of thin and constant thickness along the screen plate. The particles velocity on the screen deck shows a decreasing distribution along the screen deck length and the decrease of velocity changes from steep at the feed end to flat at the discharge end. The instantaneous efficiency of banana screen can reach to above 0.95 and the efficiency of steady state is about 0.83. Numerical simulation results can provide references for insight understanding of the banana screening mechanism and optimization of banana screen. | |||
TO cite this article:ZHAO Lala,LIU Chusheng,DONG Hailin. Banana screening method and simulation of banana screening process using discrete element method[OL].[29 January 2012] http://en.paper.edu.cn/en_releasepaper/content/4463790 |
2. Study on Control Strategy for Intelligent Height Adjusting System of Shearer | |||
Qigao FAN,Wei LI,Lijuan ZHOU,Xuefeng YANG | |||
Mine Engineering and Technology 05 June 2009 | |||
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Abstract:The intelligent height adjusting system of shearer is the key technology for mining operation in manless working face. According to nonlinearity and time variation of shearer height adjusting system in control process, based on establishing mathematical model of height adjusting mechanism, this paper proposes control strategy of shearer height adjusting system using dynamic fuzzy neural networks(D-FNN),gives control scheme of system inverse characteristic; by adaptive on-line learning and error compensation, system real-time performance and reliability are guaranteed. We built shearer height adjusting control system simulation model using Matlab/Simulink, simulation analysis shows that D-FNN has good generalization ability and tracking performance, which satisfy the needs of shearer height adjusting system. | |||
TO cite this article:Qigao FAN,Wei LI,Lijuan ZHOU, et al. Study on Control Strategy for Intelligent Height Adjusting System of Shearer[OL].[ 5 June 2009] http://en.paper.edu.cn/en_releasepaper/content/32892 |
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