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Effect of impeller speed on the Ni(II) ion flotation
Fatemeh Sadat Hoseinian,Bahram Rezai,Elaheh Kowsari,Mehdi Safaric 한국자원공학회 2019 Geosystem engineering Vol.22 No.3
In this study, the effect of impeller speed on Ni(II) removal and water removal was evaluated in ion flotation. The results show that the Ni(II) removal increases with increasing impeller speed from 600 to 800 rpm from less than 41% to 88%, respectively, and after that, it decreases to 79% with increasing impeller speed to 900 rpm in the first 4 min of flotation. The water removal was increased with increasing impeller speed. The Ni(II) removal and water removal were modelled and described as the function of variables such as flotation time and impeller speed using the gene expression programming (GEP). The kinetics study also showed that the removal rate of Ni(II) ions and water were increased with increasing impeller speed.
Arash Sobouti,Fatemeh Sadat Hoseinian,Bahram Rezai,Sara Jalili 한국자원공학회 2019 Geosystem engineering Vol.22 No.6
Prediction of lead recovery during the leaching process is required to increase the process efficiency by proper modeling. In this study, a new artificial neural network predictive model based on the particle swarm optimization (ANN-PSO) was developed to predict the lead recovery by a hydrometallurgical method of lead concentrate leaching using fluoroboric acid. A multi-layer ANN-PSO model was trained for developing a predictive model based on the main effective parameters on the lead leaching process. The input parameters of the ANN-PSO model were leaching time, liquid/solid ratio, stirring speed, temperature and fluoroboric acid concentration, while the lead recovery during leaching was the output. The results indicate that the proposed ANN-PSO model can be effectively predicted the lead recovery during lead concentrate leaching using fluoroboric acid.