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39th International symposium on Application of Computers and Operations Research in the mineral Industry, APCOm 2019

作者： Araújo, C.P. Bassani, m.A.A. Costa, J.F.C.L. PPGE3M-Post-Graduation Program in Mining Metallurgical and Materials Engineering Federal University of Rio Grande do Sul Porto AlegreRio Grande do Sul Brazil

ISBN: (纸本)9780367336042

To integrate the multiple variables, traditional methodologies suggest modelling the cross variograms and co-simulation using the Linear model of Coregionalization (LmC), that is difficult task. This framework combines two approaches: Bayesian Updating and Sequential Gaussian Simulation considering all information regarding the relationship of the multiple variables without modelling the LmC. Firstly, at each soft data location, hard and soft data were incorporated using Bayesian Updating, which considers multivariate correlations between variables, to build a conditional distribution. Secondly, n-possible values are drawn from these conditional distributions and imputed as hard data. Next, Sequential Gaussian Simulation was performed to complete all the grid nodes using the original and pre-viously simulated hard data. The simulated models were compared with the models obtained by Sequential Gaussian Simulation (SGS) using only the original hard data. The results show the soft data addition improve the accuracy of the models once an appropriate methodology is used to incorporate them. © 2019 Taylor & Francis Group, London.

关键词： Gaussian distribution

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Influence of drilling spacing on the mineral resources uncertainty 39th

Influence of drilling spacing on the mineral resources uncer...

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39th International symposium on Application of Computers and Operations Research in the mineral Industry, APCOm 2019

作者： Silva, C.J.E. Bassani, m.A.A. Costa, J.F.C.L. PPGE3M-Post-Graduation Program in Mining Metallurgical and Materials Engineering Federal University of Rio Grande do Sul Porto AlegreRio Grande do Sul Brazil

ISBN: (纸本)9780367336042

Rock cores from drilling works in mineral research activities are the main ore modeling information and consume most of the budget. Data spacing should be optimized to reduce uncertainties in the geologic model and mineral resource inventory. This paper investigates how the uncertainty of the mineral resources is influenced by distinct data spacings through a case study on a bauxite mineralization in Brazilian Amazon plateau. The results showed that the uncertainty of the mineral resource decreases as the data spacing decreases. Depending on an acceptable uncertainty level, wider data spacings may be selected. This optimal drilling data spacing may be defined using the uncertainty in the mineral resource estimation, which is demonstrated in this case study. © 2019 Taylor & Francis Group, London.

关键词： Budget control

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Solution combustion synthesis of mo-Fe/mgO: Influence of the fuel composition on the production of doped catalyst nanopowder

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IOP Conference Series: materials Science and Engineering 2019年第1期659卷

作者： R Y S Zampiva C P Bergmann A K Alves L Giorgini Post-Graduation Program in Mining Metallurgy and Materials Engineering (PPGE3M) Federal University of Rio Grande do Sul Osvaldo Aranha 99 90035-190 Porto Alegre Brazil Department of Industrial Chemistry 'Toso Montanari' University of Bologna Viale del Risorgimento 4 40136 Bologna Italy

Among the techniques for producing oxide catalysts, the solution combustion synthesis (SCS) has been widely used to produce high-quality nanostructured powders at low-cost. Through SCS, due to the high exothermic energy liberated by the reaction between the transition metal nitrate and the fuel, it is possible to homogeneously incorporate dopant ions into the catalyst. Besides, SCS allows the production of nanopowders with sizes in the decimal scale, which is extremely important for powdered catalysts. The smaller the particle is, the larger the surface area is. Based on these possibilities, the aim of this work is to produce Fe-mo/mgO nanopowders by SCS. The influence of concentration and composition of the fuels glycine and polyethylene glycol (PEG) on the final product were investigated. The morphology and the physicochemical properties were characterized by X-ray diffraction (XRD), electron microscopy (SEm), granulometry and surface area analysis. The results indicated high crystallinity for the samples produced with PEG and a wide variation on the nanoparticles sizes depending on the fuel properties.

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Synthesis of cobalt ferrite (CoFe2O4) by combustion with different concentrations of glycine

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IOP Conference Series: materials Science and Engineering 2019年第1期659卷

作者： C G Kaufmann Junior R Y S Zampiva A K Alves C P Bergmann L Giorgini Post-Graduation Program in Mining Metallurgy and Materials Engineering (PPGE3M) Federal University of Rio Grande do Sul Osvaldo Aranha 99 90035-190 Porto Alegre Brazil Post-Graduation Program in Production and Transport Engineering (PPGEP) Federal University of Rio Grande do Sul Osvaldo Aranha 99 90035-190 Porto Alegre Brazil Department of Industrial Chemistry 'Toso Montanari' University of Bologna Viale del Risorgimento 4 40136 Bologna Italy

Among the wide range of applications of Cobalt Ferrite (CoFe2O4), its usage for the manufacturing of modern electronic devices such as solar panels, capacitors and batteries has been studied' lately. Hence, solar-powered vehicles, which strongly rely their performance on energy efficient electronics, is a sector that could particularly benefit from enhanced applications of such material. In this work, the synthesis of Cobalt Ferrite was studied by means of Solution Combustion Synthesis (SCS) using iron nitrate nonahydrate and cobalt nitrate hexahydrate as precursors, and glycine as fuel. The nitrates were dissolved in distilled water and placed under stirring and heating for 5 minutes; when the temperature reached 60°C, glycine was added; after complete homogenization, the solution was placed in an electric oven (400°C) until complete combustion (approximately 15 minutes). Three syntheses were carried out using different concentrations of fuel: lean, stoichiometric and rich. The product crystallite size and composition were investigated in order to determine the influence of the fuel concentration on the structure of the produced cobalt ferrite.

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Sequential deposition method of TiO2/CH3NH3PbI3 films for solar cell application

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IOP Conference Series: materials Science and Engineering 2019年第1期659卷

作者： A E R T P Oliveira F Bonatto A K Alves C Fragassa Post-Graduation Program in Mining Metallurgy and Materials Engineering (PPGE3M) Federal University of Rio Grande do Sul Osvaldo Aranha 99 90035-190 Porto Alegre Brazil InterDepartmental Centre for Industrial Research on Advanced Applications in Mechanical Engineering & Materials Technology Alma Mater Studiorum University of Bologna viale Risorgimento 2 40136 Bologna Italy

Seeking to study innovative solar cell compositions with the goal to reach the highest energy efficiency level attainable, the aim of this study was to develop a route to obtain a solar cell composed by hybrid perovskite (CH3NH3PbI3) using a sequential deposition method through the techniques of spin-coating and immersion. Initially, the deposition of PbI2 thin film of was performed on a FTO/glass substrate coated with TiO2, which was subsequently converted into perovskite crystals through spin coating using a CH3NH3I solution. The influence of the PbI2 layer thickness on the formation of CH3NH3PbI3 crystals was evaluated. The hydrophilic characteristic of TiO2 affects the distribution of the crystals nucleation sites, since PbI2 possesses a non-polar liquid characteristic. The characterization of the perovskite thin films showed that thickness affects directly the bandgap and the surface morphology, revealing the presence of dendritic structures and acicular crystals. Both growth and coverage increased for thinner layers of PbI2. It was also possible to observe an increased uniformity in the film for smaller PbI2 layers.

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