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Evaluation of a capacity increase in AG milling of copper slag

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Języki publikacji
EN
Abstrakty
EN
The verification of the desired capacity increase in the grinding circuits is performed by simulation studies as they suggest accurate and fast alternatives compared to expensive and labor-intensive methods, particularly for the evaluation of situations that require investment. In this study, simulation was used to evaluate the alternatives that can be made to increase the capacity from 38.86 tph to 90 tph in a grinding circuit where copper slag is autogenously milled. The slag sample was characterized by drop weight and abrasion tests to describe the breakage in autogenous (AG) milling. The performances of the existing circuit and equipment were determined by a comprehensive sampling study, and modeling studies were carried out to form the basis of the simulations. Simulation scenarios were evaluated as investment free and investment requiring alternatives. In the investment free option changing fresh feed size distribution was examined however, capacity could be increased up to only 42 tph. In investment option, increasing the mill motor capacities was simulated and 90 tph target throughput was provided. This result was validated in the plant by replacement of mill motors of AG and pebble mill for 1000 kW and 750 kW, respectively.
Słowa kluczowe
Rocznik
Strony
art. no. 175181
Opis fizyczny
Bibliogr. 26 poz., rys., tab., wykr.
Twórcy
autor
  • Hacettepe University, Department of Mining Engineering, Beytepe, Ankara, Turkey
  • Al Masane Al Kobra Mining Co., P.O. Box 46 Najran, Saudi Arabia
Bibliografia
  • ALTUN, O. 2007. Comparison of different efficiency curve approaches in modelling of air classifiers. Dissertation, Hacettepe University, Turkey.
  • AUSTIN, L.G., WEYMONT, N.P., PRISBREY, K.A., HOOVER, M., 1976. Preliminary results on the modelling of autogenous grinding. In: 14th International APCOM Conference, The Pennsylvania State University, 207–226.
  • BARAHONA, C.A. 1984. Modelling and simulation of semi-autogenous grinding systems. Dissertation, The Pennsylvania State University.
  • BEHNAMFARD, A., ROUDI, D.N., VEGLIO, F. 2020. The performance improvement of a full-scale autogenous mill by setting the feed ore properties. J. Cln. Prod., 271, 122554 https://doi.org/10.1016/j.jclepro.2020.122554.
  • BOND, F.C. 1952. The third theory of comminution. Trans SME/AIME, 169, 58-66.
  • BUENO, M.P., KOJOVIC, T., POWELL, M.S., SHI, F. 2013. Multi-component AG/SAG mill model. Min. Eng., 43-44, 12-21.
  • DIGRE, M. 1979. Autogenous grinding testing and scale up. Proceedings of the Autogenous Grinding Seminar. Trondheim, Norway Paper F5.
  • DUCKWORTH, G.A., LYNCH, A.J. 1982. The effect of some operating variables on autogenous grinding circuits and their implications for control. XIV International Mineral Processing Congress. Toronto, 1.1-1.21.
  • EPSTEIN, B. 1947. The material description of certain breakage mechanisms leading to the logarithmic-normal distribution. J. Franklin Inst., 244–471.
  • FOGGIATTO, B. 2017. Modelling and simulation approaches for exploiting multi-component characteristics of ores in mineral processing circuits. Dissertation, The University of Queensland.
  • GAO, P., ZHOU, W., HAN, Y., LI, Y., REN, W. 2020. Enhancing the capacity of large-scale ball mill through process and equipment optimization: An industrial test verification, Adv. Powder Tech., 31, 2079–2091.
  • GAULT, G.A. 1975. Modelling and control of autogenous grinding circuit. Dissertation, University of Queensland, Australia.
  • GUPTA, A., YAN, D. 2016. Mineral processing design and operations. Elsevier, 856.
  • HAHNE, R., PÅLSSON, B.I., SAMSKOG, P.O. 2003. Ore characterisation for -and simulation of- primary autogenous grinding. Min. Eng., 16, 13-19.
  • LATCHIREDDI, S.R. 2002. Modelling the performance of grates and pulp lifters in autogenous and semi-autogenous mills. Dissertation, University of Queensland, Australia.
  • LEUNG, K. 1987. An energy based ore specific model for autogeneous and semi autogeneous grinding, Dissertation, University of Queensland.
  • LYNCH, A.J. 1977. Mineral crushing and grinding circuits, their simulation, optimisation, design and control. Elsevier.
  • MORRELL, S., VALERY, W. 2001. Influence of feed size on AG/SAG mill performance. SAG Conference, Vancouver, BC, Canada.
  • MORRELL, S. 2004. A new autogenous and semi-autogenous mill model for scale-up, design and optimization. Min. Eng., 17, 437–445.
  • MUANPAOPONG, N., DAVÉ, R., BILGILI, E. 2022. Impact of ball size distribution, compartment configuration, and classifying liner on cement particle size in a continuous ball mill. Min. Eng., 189, 107912.
  • MUANPAOPONG, N., DAVÉ, R., BILGILI, E. 2023. Application of TUSSIM with a variable Tromp curve for predicting optimal operation of multi-compartment mills with various ball size distributions. Adv. Powder Tech., 34, 104171.
  • NAGESWARARAO, K. 1995. A generalised model for hydrocyclones classifiers. AusIMM Proceedings, 300, 2, 21 (Dec).
  • NAPIER-MUNN, T.J., MORRELL, S., MORRISON, R.D., KOJOVIC, T. 1996. Mineral comminution circuits their operation and optimization. JKMRC.
  • NARAYANAN, S.S., WHITEN, W.J. 1988. Determination of comminution characteristics from single particle breakage tests and its application to ball mill scale-up. Trans. Inst. Miner. Metall., 97, C115– C124.
  • STANLEY, G.G., 1974. Mechanisms in the autogenous mill and their mathematical representation. J. South Afr. Inst. Mining Metall., November, 77–98.
  • WHITEN, W.J., 1976. Ball mill simulation using small calculators. Proceedings AusIMM, 258, 47-53.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1d6cb649-40ad-4996-94ba-327b624bf9f1
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