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  • 51.
    Parian, Mehdi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Lamberg, Pertti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Rosenkranz, Jan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Process simulations in mineralogy-based geometallurgy of iron ores2018In: Transactions of the Institution of Mining and Metallurgy Section C - Mineral Processing and Extractive Metallurgy, ISSN 0371-9553, E-ISSN 1743-2855Article in journal (Refereed)
    Abstract [en]

    Mineral processing simulation models can be classified based on the level that feed stream to the plant and unit models are described. The levels of modelling in this context are: bulk, mineral or element by size, and particle. Particle level modelling and simulation utilises liberation data in the feed stream and is more sensitive to the variations in ore quality, specifically ore texture. In this paper, simulations for two texturally different magnetite ores are demonstrated at different modelling levels. The model parameters were calibrated for current run-of-mine ore and then in the simulation applied directly to the other ore. For the second ore, the simulation results vary between the different levels. This is because, at the bulk level, the model assumes minerals do not change their behaviour if ore texture or grinding fineness are changed. At the mineral by size level, the assumption is that minerals behave identically in each size fraction even if the ore texture changes. At the particle level, the assumption is that similar particles behave in the same way. The particle level approach gives results that are more realistic and it can be used in optimisation, thus finding the most optimal processing way for different geometallurgical domains.

  • 52.
    Parian, Mehdi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Lamberg, Pertti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Rosenkranz, Jan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Using modal composition instead of elemental grades in mineral resource estimate – high quality modal analysis by combining X-ray diffraction and X-ray fluorescence2014Conference paper (Other academic)
  • 53.
    Parian, Mehdi
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Mwanga, Abdul
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Lamberg, Pertti
    Keliber Oy, Kaustinen.
    Rosenkranz, Jan
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Ore texture breakage characterization and fragmentation into multiphase particles2018In: Powder Technology, ISSN 0032-5910, E-ISSN 1873-328X, Vol. 327, p. 57-69Article in journal (Refereed)
    Abstract [en]

    The ore texture and the progeny particles after a breakage in the comminution have been a subject of interest in mineral liberation studies and are the missing link between geology and mineral processing in the concept of geometallurgy. A new method called Association Indicator Matrix (AIM) established based on co-occurrence matrix was introduced to quantify the mineral association of ore texture and its progeny particles. The Association Indicator Matrix can be used as a criterion for classifying ore texture as well as analyzing breakage behavior of ore texture. Within the study, the outcome of breakage analysis with Association Indicator Matrix was used to forecast particle population of iron ore texture after crushing. The particle size of forecasted particles was taken from experimental and frequency of breakage in phases was defined based on Association Indicator and liberation of minerals. Comparison of liberation distribution of iron oxide minerals from experimental and forecasted population shows a satisfactory agreement.

  • 54.
    Roine, Timo Juhani
    et al.
    Aalto University, School of Science and Technology.
    Kaartinen, Jani
    Aalto University, School of Science and Technology.
    Lamberg, Pertti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Sustainable Process Engineering.
    Training simulator for flotation process operators2011In: Proceedings of the 18th IFAC World Congress, IFAC, International Federation of Automatic Control , 2011, p. 12138-12143Conference paper (Refereed)
    Abstract [en]

    This paper presents a novel simulation concept for operator training in the field of mineral processing. The simulations are carried out with a dynamic process simulator HSC Sim® of HSC Chemistry® developed by Outotec Research Oy. The simulator is fitted to mimic an existing copper flotation circuit as accurately as possible by using metallurgical models and then integrated into a larger simulation environment, providing the operator trainees a realistic experience of the process. The simulation environment is designed to be scalable and very flexible, allowing many different usage scenarios and thus aiding in the transfer of the tacit knowledge from operator generation to the next. Concurrent work is being done on higher level analysis, utilizing the results reported in this paper.

  • 55.
    Roine, Timo Juhani
    et al.
    Aalto University, School of Science and Technology.
    Kaartinen, Jani
    Aalto University, School of Science and Technology.
    Lamberg, Pertti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Sustainable Process Engineering.
    Training simulator for flotation process operators2011In: Proceedings of the 18th IFAC World Congress, IFAC, International Federation of Automatic Control , 2011, p. 12138-12143Conference paper (Refereed)
    Abstract [en]

    This paper presents a novel simulation concept for operator training in the field of mineral processing. The simulations are carried out with a dynamic process simulator HSC Sim® of HSC Chemistry® developed by Outotec Research Oy. The simulator is fitted to mimic an existing copper flotation circuit as accurately as possible by using metallurgical models and then integrated into a larger simulation environment, providing the operator trainees a realistic experience of the process. The simulation environment is designed to be scalable and very flexible, allowing many different usage scenarios and thus aiding in the transfer of the tacit knowledge from operator generation to the next. Concurrent work is being done on higher level analysis, utilizing the results reported in this paper.

  • 56.
    Rosenkranz, Jan
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Lamberg, Pertti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Sustainable Processing of Mineral Resources2014In: Society of Materials Engineering for Resources. International Journal, ISSN 1347-9725, Vol. 20, no 1, p. 17-22Article in journal (Refereed)
    Abstract [en]

    This paper reviews some of the recent challenges in the sustainable processing of primary mineral resources and discusses the technical prospects for meeting these challenges. The second part describes the integrated approach of geometallurgy being a prerequisite for improving resource efficiency along the production chain of minerals and metals. The different elements of a geometallurgical program are discussed and examples for ongoing geometallurgical research and education as pursued at Luleå University of Technology are presented.

  • 57.
    Ruuska, Jari
    et al.
    Uleåborg universitet.
    Lamberg, Pertti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Sustainable Process Engineering.
    Leviskä, Kauko J.
    Uleåborg universitet.
    Flotation model based on floatability component approach: PGE minerals case2013In: IFAC Workshop on Automation in the Mining, Mineral and Metal Industries, MMM 2012, IFAC, International Federation of Automatic Control , 2013, p. 19-24Conference paper (Refereed)
    Abstract [en]

    This paper discusses how modelling and simulation can be used in predicting the recovery of platinum group elements (PGE) in flotation process. In platinum group ores, commonly a floatability component approach is used where each element is divided in model fitting to two or three components. This approach has the problem of breaking the natural association of platinum group element in minerals, floatability components do not have any physical meaning and as the model fitting problem is ill-posed, comparison of different tests by floatability component parameters is difficult. To avoid this modelling and simulation here is based on minerals. Additionally, the mass proportion of fast floating material was fixed on the basis of mineralogical study and results achieved in laboratory flotation tests. Finally as the rougher and cleaning flotation was performed in fixed chemical regime the model fitting was done for both rougher and cleaning stages simultaneously using cascade model. It was found in this way a number of model fitted parameters decreased giving possibility to compare tests results easier but still reaching good fit between observed, modelled and simulated data. The developed model was used in screening the best flotation conditions and to forecast the metallurgical performance in full scale process

  • 58.
    Seppälä, Pirjo
    et al.
    Control Engineering, University of Oulu.
    Sorsa, Aki
    Control Engineering, University of Oulu.
    Paavola, Marko
    Control Engineering, University of Oulu.
    Ruuska, Jari
    Uleåborg universitet, Control Engineering, University of Oulu.
    Remes, Antti
    Outotec Oyj.
    Kumar, Haresh
    Oulu Mining School, University of Oulu.
    Lamberg, Pertti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
    Leviskä, Kauko J.
    Uleåborg universitet, Control Engineering, University of Oulu.
    Development and calibration of a dynamic flotation circuit model2016In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 96-97, p. 168-176Article in journal (Refereed)
    Abstract [en]

    Monitoring of mineral beneficiation processes is difficult due to lack of reliable measurements and hazardous environment. Therefore robust models describing steady-state and dynamic behaviour of the processes are needed when aiming for improved monitoring and control. Specific characteristics of models used in mineral processes are that they require spatial mineralogical information of raw material. In this study, a dynamic simulator combining ore characteristic physical data, process operating parameters and mineralogical properties is developed for the Oulu Mining School (OMS) mini-pilot scale mineral beneficiation plant. The mini-pilot process, theoretical part of the model and the model development are described. Open and closed flotation circuit experiments were carried out in mini-pilot research environment for model identification. Experimental and simulated results of ore type variation and pH change are presented. Based on the results the effects of the aforementioned factors on flotation performance are predicted.

12 51 - 58 of 58
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