{"title":"Modeling and Prediction of Zinc Extraction Efficiency from Concentrate by Operating Condition and Using Artificial Neural Networks ","authors":"S. Mousavian, D. Ashouri, F. Mousavian, V. Nikkhah Rashidabad, N. Ghazinia","volume":85,"journal":"International Journal of Computer and Information Engineering","pagesStart":1,"pagesEnd":5,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9997008","abstract":"
PH, temperature and time of extraction of each stage,
\r\nagitation speed and delay time between stages effect on efficiency of
\r\nzinc extraction from concentrate. In this research, efficiency of zinc
\r\nextraction was predicted as a function of mentioned variable by
\r\nartificial neural networks (ANN). ANN with different layer was
\r\nemployed and the result show that the networks with 8 neurons in
\r\nhidden layer has good agreement with experimental data.<\/p>\r\n\r\n
<\/p>\r\n","references":"[1] A.D. Souza, P.S. Pina, F.M.F. Santos, C.A. da Silva, V.A. Le\u00e3o,\u201d Effect \r\nof iron in zinc silicate concentrate on leaching with sulphuric acid\u201d, \r\nHydrometallurgy 95 (2009) 207\u2013214. \r\n[2] \u00c7opur, M., \u00d6zmetin, C., \u00d6zmetin, E., Kocakerim, M.M, \"Optimization \r\nstudy of the leaching of roasted zinc sulphide concentrate with sulphuric \r\nacid solutions\u201d, Chemical Engineering and Processing 43 (8), 2004, \r\n1007\u20131014. \r\n[3] Youcai, Z., Stanforth, R,\u201d Extraction of zinc from zinc ferrites by fusion \r\nwith caustic soda\u201d, Minerals Engineering 13 (13) , 2000, 1417\u20131421. \r\n[4] Pappu, A., Saxena, M., Asolekar, S.R, \"Jarosite characteristics and its \r\nutilization potentials\u201d, Science of the Total Environment 359 (1), 2006, \r\n232\u2013243. \r\n[5] Raghavan, R., Mohanan, P.K., Patnaik, S.C, \"Innovative processing \r\ntechnique to produce zinc concentrate from zinc leach residue with \r\nsimultaneous recovery of lead\u201d, Hydrometallurgy 48 (2), 1998, 225\u2013\r\n237. \r\n[6] Souza, A.D, \"Integration Process of the Treatment of Concentrates or \r\nZinc Silicates Ore and Roasted Concentrate of Zinc Sulphides\u201d , 2000. \r\n[7] Brook-Hunt. In: Brook Hunt (Ed.), Mining and Metal Consultants, \"Zinc \r\nSmelter Study\u201d , 2005, B.H.a.A. Ltd. \r\n[8] Md. Raisul Islam, S. S. Sablani & A. S. Mujumdar, \"An Artificial \r\nNeural Network Model for Prediction of Drying Rates\u201d, Drying \r\nTechnology, Vol. 21, No. 9, pp. 1867\u20131884, 2003. \r\n[9] Hornik, K.; Stinchombe, M.; White, H, \"Multilayer feed forward \r\nnetwork are universal approximator\u201d, Neural Network 1989, 2, 359\u2013366. \r\n[10] NeuralWorks Reference Guide, Software Reference for Professional \r\nII\/Plus and NeuralWorks Explorer, Neural Ware Inc.: Pittsburgh, PA, \r\n1993. \r\n[11] Atashy.H, J. Rahnama-Rad, M. Fallahnejad., \"An Investigation on the \r\nImprovement of Zinc Extraction From Siliceous Concentrates\u201d, \r\nInternational Journal of Engineering, 2008, pp. 9-16. ","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 85, 2014"}