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SIMULATION-DRIVEN DEVELOPMENT FOR COARSE COMMINUTION PROCESS - A CASE STUDY OF GEITA GOLD MINE, TANZANIA USING PLANTSMITH PROCESS SIMULATOR

Published online by Cambridge University Press:  27 July 2021

Kanishk Bhadani ,
Gauti Asbjörnsson ,
Paul Bepswa ,
Aubrey Mainza ,
Elibariki Andrew ,
Jisenha Philipo ,
Nkanyiso Zulu ,
Anthony Anyimadu ,
Erik Hulthén  and
Magnus Evertsson
Kanishk Bhadani*
Affiliation:
Chalmers University of Technology, Sweden;
Gauti Asbjörnsson
Affiliation:
Chalmers University of Technology, Sweden;
Paul Bepswa
Affiliation:
The University of Cape Town, The Republic of South Africa;
Aubrey Mainza
Affiliation:
The University of Cape Town, The Republic of South Africa;
Elibariki Andrew
Affiliation:
Geita Gold Mine, Tanzania;
Jisenha Philipo
Affiliation:
Geita Gold Mine, Tanzania;
Nkanyiso Zulu
Affiliation:
Geita Gold Mine, Tanzania;
Anthony Anyimadu
Affiliation:
Anglo Gold Ashanti, The Republic of South Africa
Erik Hulthén
Affiliation:
Chalmers University of Technology, Sweden;
Magnus Evertsson
Affiliation:
Chalmers University of Technology, Sweden;
*
Bhadani, Kanishk, Chalmers University of Technology, Department of Industrial and Materials Science, Sweden, kanishk@chalmers.se

Abstract

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A comminution process is a material size reduction and separation process which is primarily used in the aggregates and the minerals processing industry. Knowledge related to equipment’s operation, raw material properties, operational strategies, control system, maintenance, etc. is needed to design a capable plant. New needs are arising from the industry for existing operational crushing plants such as investigation for improvements, upscaling, and downscaling of the capacity. The paper presents an application of simulation-driven development for a crushing plant in an existing gold processing plant. Due to the change in ore characteristics and the need for optimizing the cost of operation, it is required to investigate the opportunities for improvement and alternative options for downscaling the capacity of the plant. A systematic process for configuring, developing, and evaluating alternative concepts using a process simulation tool is presented. The results show the process of generating knowledge for alternative crushing plant operation settings and how the choices can be selected and eliminated using boundary conditions. The evaluation presents possible improvements and alternative concepts with their opportunities and pitfalls.

Keywords

Gold-ProcessingDecision makingProcess modellingComminutionCase study
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2681 - 2690
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

References

Asbjörnsson, G. (2015) Crushing Plant Dynamics, Published thesis (PhD Thesis), Chalmers University of Technology.Google Scholar
Bhadani, K. (2019) Optimization Framework for Crushing Plants, Published thesis (Licentiate of Engineering), Chalmers University of Technology.Google Scholar
Eppinger, S. and Ulrich, K. (2015) Product design and development, McGraw-Hill Higher Education.Google Scholar
Evertsson, C.M. (2000) Cone Crusher Performance, Published thesis (PhD Thesis), Chalmers University of Technology.Google Scholar
Karra, V.K. (1979) “Development of a model for predicting the screening performance of a vibrating screen”, CIM bulletin, 72(804), 167–171.Google Scholar
King, R.P. (2001 ) Modeling and Simulation of Mineral Processing Systems, Elsevier Science.Google Scholar
Napier-Munn, T.J., Morrell, S., Morrison, R.D. and Kojovic, T. (1996) Mineral Comminution Circuits: Their Operation and Optimisation, Indooroopilly, Qld Australia: Julius Kruttschnitt Mineral Research Centre, The University of Queensland.Google Scholar
Roctim, AB (2021) Plantsmith - Process Simulator, available: https://www.roctim-plantsmith.com/ [accessed 2021-01-12].Google Scholar
Soldinger, M. (2002) “Transport velocity of a crushed rock material bed on a screen”, Minerals Engineering, 15(1), 7–17. https://doi.org/10.1016/S0892-6875(01)00192-3CrossRefGoogle Scholar
Wheelwright, S.C. and Clark, K.B. (1992) Revolutionizing product development: quantum leaps in speed, efficiency, and quality, Simon and Schuster.Google Scholar
Whiten, W.J. (1972) “The simulation of crushing plants with models developed using multiple spline regression”, Journal of the Southern African Institute of Mining and Metallurgy, 72(10), 257–264.Google Scholar
Wills, B.A. and Napier-Munn, T. (2006) Wills’ mineral processing technology: an introduction to the practical aspects of ore treatment and mineral recovery, Publisher: Butterworth-Heinemann, 12, 266–344.Google Scholar