Science & Technology Review >

2014 , Vol. 32 >Issue 17: 23 - 28

DOI: https://doi.org/10.3981/j.issn.1000-7857.2014.17.003

Articles

Optimal Flocculating Sedimentation Parameters of Unclassified Tailings

  • WANG Xinmin ,
  • LIU Jixiang ,
  • CHEN Qiusong ,
  • XIAO Chongchun ,
  • WAN Xiaoheng
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  • School of Resourcrs and Safety Engineering, Central South University, Changsha 410083, China

Received date: 2014-03-05

  Revised date: 2014-04-15

  Online published: 2014-06-20

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Abstract

Back-propagation neural network was used to optimize the flocculating sedimentation parameters. To get the best network mode, some learning and training samples were established by the numbered orthogonal blasting tests. In the process of establishing the network mode, the tailings concentration, flocculant consumption and flocculant concentration were used as the input data, the sedimentation speed and limiting concentration were confirmed to be the synthesized output data. Comparison of the influences of hidden layer nodes on model training process and prediction accuracy indicates that the optimal hidden layer node was 9. By entering the refined flocculating sedimentation parameters into the prediction model, optimal samples are searched and the optimal parameters show that the flocculating agent consumption is 4.5 g/t, flocculating concentration is 0.11% and tailings concentration is 15%. Compared with that of the experimental results, the relative error of the prediction results can be controlled at about 5%. The application indicates this mode has relatively high accuracy, providing a new method to optimize the flocculating sedimentation parameters.

Key words： back-propagation neural network; unclassified tailings; flocculating sedimentation; dynamic sand release

Cite this article

WANG Xinmin , LIU Jixiang , CHEN Qiusong , XIAO Chongchun , WAN Xiaoheng . Optimal Flocculating Sedimentation Parameters of Unclassified Tailings[J]. Science & Technology Review, 2014 , 32(17) : 23 -28 . DOI: 10.3981/j.issn.1000-7857.2014.17.003

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