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By Wainer da Silveira e Silva, Marco Antonio Teixeira, Robisom Damasceno Calado, Carlos Alberto Chaves, Tone Takayama Filho

A preocupação com o adequado tratamento de resíduos industriais surgiu com o conceito de desenvolvimento sustentável criado pelo Clube de Roma e contribuiu para o uso racional dos recursos naturais ao longo dos últimos 50 anos. A preocupação com a produção responsável e uso judicioso de recursos naturais priorizou a reciclagem de materiais na agenda das empresas, tornando-se numa atividade de alta relevância, vital para a sustentabilidade econômica e ambiental. Este trabalho aborda os aspectos técnicos, econômicos e ambientais da reciclagem de resíduos contendo zinco através do estudo de caso de reciclagem de resíduos gerados no processo de fabricação de aço em Forno Elétrico, denominado pó de Aciaria Elétrica (PAE). A indústria ainda está em busca de tecnologias para redução da geração e reciclagem desse resíduo. A relevância do estudo está na utilização da Análise Hierárquica de Processo (AHP) para avaliação e seleção da melhor alternativa, entre várias, para tratamento e reciclagem do PAE. Como resultado, demonstrou-se a eficácia do uso da metodologia no empreendimento de reciclagem de resíduos contendo zinco implantado pela Votorantim, em Juiz de Fora, Minas Gerais.

Nov 12, 2019

By José Carlos D’Abreu, Luiz Cláudio Pinto Oliveira

Os pós ou lamas de aciaria gerados nos sistemas de despoeiramento dos gases de exaustão do conversor LD têm papel relevante entre os coprodutos siderúrgicos devido às suas significativas gerações, dificuldades no manuseio e acondicionamento e expressivo custo para processamento e/ou disposição. Em contrapartida, o elevado teor de ferro que possuem lhes garantem um potencial de substituição dos materiais primários nos processos metalúrgicos. Um método desenvolvido para a reciclagem do pó de aciaria LD foi a aglomeração a frio via briquetagem, para utilização como refrigerante no conversor LD. O efeito refrigerante do minério de ferro é cerca de três vezes superior ao da sucata de aço. Os briquetes de pó de aciaria LD contém ferro em diferentes estágios de oxidação e assim, seu poder refrigerante se situa em uma condição intermediária. Neste trabalho são avaliados, teórica e operacionalmente, o efeito refrigerante dos briquetes de pó de aciaria em comparação com outros refrigerantes. Considerando que a sucata tem um poder refrigerante de 340 kcal/kg, constatou-se que o poder refrigerante dos briquetes é cerca de 1,8 vezes superior ao da sucata e o poder refrigerante das pelotas é 2,8 vezes superior ao da sucata.

Nov 3, 2019

By Wagner Viana Bielefeldt, Vinicius Cardoso da Rocha, Augusto Lachini Pereira, Antônio Cezar Faria Vilela

A minor change in the chemical composition and temperature affects the slag viscosity, which has a great extent of the physical properties in regarding refining slags. Optimizing those parameters may affect the steel cleanliness. The viscosity measurement process is considered expensive, so the cost-effectiveness does not favor the measures at high-temperatures. Alternatively, it is possible to apply mathematical models or thermodynamic softwares to obtain viscosities for a given range of chemical composition and temperature of slags. The present work contemplates a validation of the experimental data, collected in the literature, with a calculated data and proposes an accurate representation of iso-viscosity curves applied for secondary steelmaking slags, covering the composition ranges: 0–100 wt.% CaO, 0–80 wt.% SiO2, 0–77 wt.% Al2O3 and 0–15 wt.% MgO (CSAM) system at 1500ºC. The viscosity representation fields include fully liquid and a partially liquid slags in the CSAM system and the viscosities were calculated using the FactSage 7.2 (for Liquid Phase) and the Roscoe-Einstein equation (for Phase mixture) for a total of 5976 slags. The preliminary results indicated that there is a great convergence between the calculated and experimental viscosities data, promoting an efficient approximation of the iso-viscosity curves for the CSAM slag system in the high-temperatures.

Nov 1, 2019

By Jefferson Lisboa Lelis, Marcos Roberto Soares da Silva, Maiara Rodrigues Gouveia

Nowadays, due the development of new hot rolled strips at USIMINAS, established the necessity of realizing studies to define new parameters for the welding machine of new pickling line, in order to improve mechanical and metallurgical properties of these materials. The aim of this study was to evaluate the weldability of high strength low-alloy steel with low boron content with tensile strength above 600MPa.The influence of energy input and preheating temperature on the mechanical properties of hot rolled strips were analyzed at three distinct thickness (2, 4 and 6 mm). To perform these evaluations were used tensile test, micro-hardness, metallography (micro and macro examination) and scanning electron microscopy analysis. In resume, a good welding performance was achieved, increasing preheating temperature and the welding energy higher than 60%.

Oct 13, 2019

By Juliano Braz Possatti, Arnaldo Carneiro Salles, Cleudson dos Santos Rego, Leandro de Lucas Mendes

The increase in customer demand for steels with higher surface requirements, associated with the need to increase ArcelorMittal Tubarão's HSM productivity, it was necessary the development of controls and actions to reduce scale losses within the scenario of high productivity. This article describes the path followed by the hot strip mill team in order to reduce the occurrence and severity of scales.

Oct 10, 2019

By Ernesto Furtado de Mello Neto, Eliezer Thuler, Claudio Vano Nunes, Carlos Alberto Cristofari

The Brazilian steel industry is dealing an adverse scenario with direct competition from global emerging markets. In this scenario, the need to improve asset operational performance, makes complex studies involving technical knowledge and asset life behavior, become important tools to support companies strategic accomplish. These studies allow consider performance, costs and operational risks relationship in the decision make process. The Asset Management approach support these studies in order to observe the whole asset life cycle, understand value chain through all company process and optimize the asset economic life. In this context, the present technical work has the purpose to support asset management decision making regarding ArcelorMittal Vega cold rolling drive motors, through the motors fail behavior modelling and estimated the risks involved in asset management decision. Through the Reliability, Availability and Mantenability (RAM) analysis, simulations were performed considering the failure, repair cost data and investments to build options to mitigate the operational risks.

Oct 9, 2019

By Guilherme Vitor de Araujo, Igor Cuzzuol dos Santos, Loyslene Rabelo Fernandes, Gustavo Henrique Sousa, Athos Fernandes Araujo

O desenvolvimento de nanopartículas magnéticas vem recebendo bastante atenção de pesquisadores devido a sua potencial aplicação em diferentes campos tecnológicos, principalmente em microeletrônica e medicina. A magnetita nanoparticulada é particularmente atraente para estas finalidades, pois apresenta comportamento superparamagnético, biocompatibilidade e resistencia à oxidação. Neste estudo foi avaliado a síntese das nanopartículas pela coprecipitação. Para isso foi observado a influência da razão molar de Fe+2/Fe+3 e da variação de concentração de NaOH na nucleação e precipitação das partículas. Sendo possível, determinar os melhores parâmetros para obtenção das mesmas e garantindo as suas propriedades. Para a constatação estrutural, a caracterização das amostras foi realizada por difração de raios X (DRX). A razão molar de Fe+2/Fe+3 se mostrou uma variável importante, em razões muito pequenas o resultado obtido foi goetita, enquanto a síntese a partir da razão 0,5 observou-se apenas a magnetita. E a variação da concentração de OH- teve influência no tamanho das partículas nucleadas, no qual menores partículas foram obtidas em meios mais básicos.

Oct 6, 2019

By Jovanir Francisqueto, José Fagundes, Nayara Neves Coutinho, Marco Túlio Costa

The purpose of this project is to increase the visibility of which will be daily produced on the hot strip mill (HSM). The forecast was performed through the implementation of an automated tool for weekly HSM production planning. The project was started with the definition of the weekly planning process, through the determination of the main business objectives, like as: priorities of service (customers and delivery date), definition of HSM’s rules and restrictions of operating resources. Using a sophisticated mathematical model, through the computational simulation is possible the experimentation of various production scenarios, allowing the visualization of volumes by type of sequence, clients / priorities, mix to be produced, cylinder change quantity forecast, better forecasting of the productivity of the HSM, consumption of utilities, within others. Main benefits: sequencing which production orders should be produced, reducing unforeseen stops due lack of material, improving the quality of the stock which allows the reduction of the aging of slabs in the slabyard and the vision of customer services. Computational simulation as a weekly planning tool achieve, with other benefits, to present alternatives for better decision making.

Oct 6, 2019

By Aaron Samuel Young, Hiago Antunes Amador de Oliveira, William Pratt Rogers

Low commodity prices and lack of new high-grade deposits are pushing the mining industry for innovation. Lean mining has been vastly discussed in the past decades as a way to continuously improve mining efficiency. Although very theoretical, lean mining presents a set of new solutions enabled by the digital transformation that the mining industry is going through. This paper proposes a framework for a short interval control system with the purpose to allow timely responses by front line supervisors upon operational deviations. In the first part, the author briefly reviews concepts of short-range planning and lean mining. Then, the materials and methods used for the development of the short interval control system are discussed. Finally, alpha trial results are presented, and next steps discussed.

Oct 3, 2019

By Rudi César Comiotto Modena, Gabriel de Castro Moreira, Diego Machado Marques

The definition of geological/geostatistical domains is the first step in building a mineral resource model. A suitable division for these domains requires some prior knowledge about the deposit geology and can be supported by a careful statistical analysis. It is crucial that data with similar characteristics are grouped together, to avoid the mixing of statistical populations, defining the so-called stationary domains. In order to assist in this definition, two unsupervised clustering algorithms were applied: Otsu and K-means. The first one is widely used in image segmentation and it is based on the exhaustive search of the data to determine the best threshold for separating them. K-means is one of the most used techniques in machine learning, and it is based on the iterative analysis of the statistical distribution. Clustering algorithms may present some shortcomings when applied to geological data, since they are based on pure statistical analysis, not considering spatial distribution or data location. Choosing the most appropriate number of domains can also be challenging. Some methods for defining the best number of groups are presented, based on the analysis of variances between/inside groups, supported by indicators variography in order to verify this definition.

Oct 3, 2019

By Jorge Alberto Soares Tenório, Denise Crocce Romano Espinosa, Beatriz Peralta Oruê

Manganese, a toxic mineral, related to manganism may have high added value for the steel industry. The difficulty in obtaining manganese encourages the exploration of new secondary sources such as the lateritic nickel effluent. In Brazil, nickel reserves are predominantly lateritic, making the country a potential producer. For the tests, a synthetic solution was used which simulates the lateritic nickel effluent from leaching. The oxidative precipitation with ozone occurred at the oxygen flow rates: 0.5; 1.0 and 2.5L/min, at the original pH 1.5 at 21°C in a 500 mL bubble column reactor. O3 was produced in the benchtop generator feed by 99% oxygen. The ozonation time was determined by the oxidation potential1.55V. The ozonated solution was centrifuged and filtered. The filtrate and collected samples were characterized in ICP-OES. Optimization tests with ultracentrifuge were performed. The best precipitation reached 97% at 0.5L/min O2 at 6.07 ± 0.045mg/min of O3 dosage and resulted in a solution 10-15mg/L Mn+2, above 1mg/L, maximum value acceptable by Conama 2011, to be retreated before being discharged into the water body or being reused as a manganese source.

Oct 3, 2019

By Paulo Conceição, Carlos Sampaio, Carlos Petter, Ariane Kuerten

The Sensor Based-Sorting technology is an emerging technology applied in mineral separation and concentration. The technique consists in using a method known as Dual Energy X-ray Transmission sorting (DE-XRT). The particle's position over the conveyor belt was evaluated and, despite de variability of results, shows that there is no a position with greater accuracy on the sensor's reading. Results obtained indicated that DE-XRT sorting technology was able to significantly reduce the mass and the ash content of the ore feed, being an interesting option for reduction of costs and improvement of coal quality in beneficiation plants.

Oct 3, 2019

By Rodrigo Fina Ferreira, Jacek Kolacz, Luciana Gois, Neymayer Pereira Lima

The recent developments on the sensor detectors together with the higher capacity of the machines, due the high-speed computing recent advances, have made possible extending the application in the mining industry. The use of x-ray fluorescence, x-ray transmission and radiometric sensor based sorting can selectively remove gangue minerals in different size fractions for different minerals. This paper summarizes the potential application of SBS for an iron ore in three size fractions aiming to increase the %Fe after the removal of particles with main gangue minerals associated. Pilot plant tests were carried out with samples of iron ore in different size fractions and different content of hematite and gangues. The use of x-ray transmission sensor showed the possibility to increase the %Fe from about 63% to above 68% for particles below 80mm and 45mm, after the removal of low density particles. The presence of fines on the feed affected the performance of the SBS X-rays transmission machine, especially for the fine fraction feed. The mineralogical determination, carried out to know the association between hematite and gangue minerals, and the density of the particles on the feed, can be used to preview the quality of products of the x-transmission sorting process.

Oct 3, 2019

By Walter Mazon, Marcello Rodrigues Cruz, Leandro Carvalhar Maciel

Filtration is the operation of liquid solid separation commonly applied in the mining industry. The use of filtering chemical agents is a technical solution viable for filtering optimization. The present work proposed to evaluate two filtering chemical agents (surfactants) to reduce the final moisture content of iron ore concentrate from Ferrous Resources. The leaf test top feed was done with the FLOTICOR FA 7241 and FLOTICOR FA 16557 products. The foaming profile of the filtrate was also evaluated, once excessive foaming is undesired when using this kind of products. The results showed a reduction in the final moisture of the filter cake. The product FLOTICOR FA 16557 achieved the best results, reducing final cake moisture from 10.4% to 9.8% at the dosagem of 25 g/t, besides presenting a fast kinetics in the foam drainage, presenting itself as a technical alternative for filtration optimization.

Oct 3, 2019

By César Junior dos Santos, Fábio da Silva dos Santos, Robson Rodrigues Martins

Tailings disposal has been a recurring theme of research in the major mining process development centers. This is due to the great interest of companies in reducing the social and financial impacts of their environmental liabilities. Another major driving force behind the search for new alternatives is the recent cases of environmental accidents in Brazil and abroad. According to the International Commission on Large Dam (ICOLD), two major accidents per year involving dams are reported worldwide. Hence, we realize that the analysis of the topic as well as the search for solutions becomes a challenge for both entrepreneurs and research institutions. In this work, a case study of the Herculano Mining will be carried out, working in the extraction and processing of iron ore. The main stages of the study are: technological characterization of tailings from the beneficiation process, analysis of filtration processes of this material for disposal in piles, bench tests and evaluation of the performance of the industrial facilities of the company in question. Herculano has an installed ceramic filtration equipment that faces operational difficulties in certain types of ore. At first, all the possibilities of adjusting this process will be analyzed so that it can filter the necessary mass of waste, acting in the rheology of the pulp (sedimentation, flocculation), regeneration of the ceramic plates and adjustments of the machine (filter), in order to obtain the best condition.

Oct 3, 2019

By Jackson Teixeira de Oliveira, Douglas Batista Mazzinghy, Vanderson Eney de Matos, Alexandre Camilo Leles de Figueiredo

This work studied the effect of different ball sizes in the secondary grinding stage of Samarco. The Moly-Cop Tools 3.01 spreadsheet was used for models calibration and simulations, considering grinding balls topsize of 15, 20, 25, 30 and 35mm diameters. A normal specific selection function up to the largest fed ore particle size (840μm) was obtained. The higher generation of fines and compliance with particle size specifications (+ 74μm and -44μm) proved to be more favorable for smaller ball sizes. The specific energy consumption was lower for the 15mm ball (10.7kWh/t), increasing up to the 35mm ball (13.0kWh/t). Although smaller diameter balls seem to be the best option for the size specifications, some factors may limit their use, such as: the higher generation of specific surface area; and the amount of ball purge in the discharge of the mills.

Oct 3, 2019

By Walter Valery, Kristy Duffy, Alex Jankovic, Peter Holtham

Hatch’s Mine to Process Optimization projects integrate mining and processing strategies, minimizing operating costs and maximizing overall profit. The methodology involves ore characterization, blast audits, plant surveys, analysis of historical data, and integrated modelling and simulation of mining and processing. Blast designs are tailored according to ore type and the downstream process is optimized for the changed feed. This approach has increased throughput and minimized costs for many operations worldwide. The implementation of this methodology at an iron ore operation that faced challenges with increasing mining strip ratio and ore body mineralogy changes is presented in this paper. The larger stripping ratio increased mining costs and constrained the run-of-mine (ROM) delivery to the process plant. Process performance was affected as the ore mineralogy shifted from predominantly hematite to include greater proportions of magnetite. The project objective was to minimize overall cost per ton mined and processed and maximize profit. Tailoring the blast designs according to ore type and process optimization increased the throughput of all process lines. This provided the potential to shut down one of the five processing line, aligning the mine and plant capacity and significantly reducing the processing costs.

Oct 3, 2019

By Leonardo Camilo dos Reis, Edmilson Fernandes Dadomi, Claudio Silva de Paulo

In the hot strip mill production, one of the factors that may affect the productivity is the occurrence of failure due to the geometry of the strip at the exit of the rolling mill, because the tip of the strip can turn-down or turn-up. This study had the objective of evaluating the behavior of the strip when leaving the working rolls, through numerical simulation, aiming to know the influences of the main variables that govern the formation of the turn-down. The methodology consisted in performing the computational simulation of the strip mill and to vary the operational and geometric parameters that could influence the process. The results showed that the rolling of hot strips of HSLA material with final thickness varying between of 3 to 6 mm and a reduction of 6.6% to 11.0% in the last stand of a hot strip mill, tends to bend towards the roll with larger diameter, higher friction coefficient , higher temperature and lower limit of material flow. It was observed that the variation in diameter is the main factor that contributes to the formation of the curvature of the front-end of strip. Based on these results, several measures were implemented in the industrial line, with a significant reduction in the occurrence of turn-down.

Oct 2, 2019

By Woo, Hur, Kim, Ki Nam, Seung Min, Kyoung Sik

Tandem cold mill (TCM) is a process to obtain flatness as well as thickness desired by the customer by rolling hot-rolled coils continuously. The final stand of the TCM plays the most important role of flatness control, which usually uses the real-time measurement at the exit. However, as the material property increases, it is not easy to handle flatness with only the final stand. In order to overcome such a limitation, we propose a feedback control method to strengthen flatness control for non-final stands. The proposed method was tested in an actual production line, and the effect is proved for 45K or less steel grade.

Oct 1, 2019

By Marcelo Rebellato, Beatriz Pereda, Beatriz Lopez, Pello Uranga

The classical application of Nb microalloying in the development of thermomechanical processes for flat products has been related to its suitability to enhance strain-induced precipitation and get a pancaked austenite prior to transformation. As new steel grades or new lay-outs are being developed, more complex metallurgical conditions need to be evaluated. In this context, Nb microalloying, alone or combined with other microadditions, needs to intervene in a more controlled way in additional steps of the thermomechanical process, besides its conventional strain-induced precipitation role. For example, the hardenability enhancement associated with Nb to properly achieve lower temperature transformation products, demands a proper balance of the Nb amount precipitated during rolling and the one remaining in solid solution. Similar effects are also sought when the final available Nb is used to increase strength through precipitation hardening. This manuscript evaluates how changes in the rolling strategies affect the interaction between Nb(C,N) precipitation and austenite recrystallization at different steps of the rolling process. As the possible interactions between parameters intervening simultaneously are quite complex, the application of microstructural models helps to properly define the best austenite conditioning combined with the convenient amount of Nb in solution, as a function of the final property requirements. Along the manuscript, several strategies will be discussed for the case of hot rolling of flat products comparing both normal and coarse initial austenite grain sizes.

Oct 1, 2019