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By Companhia Siderúrgica Nacional - CSN

Balanço Energético Global 2013

Jul 31, 2018

By Gerdau Ouro Branco

É apresentado o Balanço Energético Global da Gerdau Ouro Branco 2013, com os principais indicadores de consumo energético das áreas produtoras. Além dos indicadores energéticos globais, o balanço apresenta os consumos físicos específicos de cada insumo nas diversas áreas, permitindo a análise de cada setor da usina isoladamente. Destaca-se em 2013: -Início de operação da Laminação de Tiras a Quente. -Menor participação do Lingotamento Convencional. -Menor produção de aço bruto da usina em relação a 2012.

Jul 31, 2018

By Usiminas -. Ipatinga e Cubatão

Objetivo: Apresentar o Balanço Energético Global da Usiminas em 2013 - Usinas de Ipatinga e Cubatão, com os principais indicadores de consumo das áreas produtoras. Além dos indicadores energéticos globais, o balanço apresenta os consumos físicos específicos de cada insumo nas diversas áreas, permitindo a análise de cada setor das Usinas, isoladamente. Metodologia: Foram elaborados gráficos com indicadores de consumo energético por um período de cinco anos, bem como a distribuição percentual nas áreas produtoras. Nestes gráficos, é evidenciada a evolução dos indicadores ao longo dos anos. É também apresentada justificativa para a variação do indicador em relação ao ano anterior. Resultados: O trabalho apresenta análise das Usinas de Ipatinga e Cubatão em relação à evolução do consumo energético e sua distribuição percentual nas áreas produtoras.

Jul 31, 2018

By Arcelor Mittal

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Jan 26, 2018

By Eder Quental de Araújo

É apresentado o Balanço Energético Global da Gerdau Ouro Branco 2016, com os principais indicadores de consumo energético das áreas produtoras. Além dos indicadores energéticos globais, o balanço apresenta os consumos físicos específicos de cada insumo nas diversas áreas, permitindo a análise de cada setor da usina isoladamente. Destaca-se em 2016: - Início de operação do Laminador de Chapas Grossas. - Maior produção de laminados da história da Usina Ouro Branco.

Jan 26, 2018

By Rafael Pinto Pretti Assef

Apresentar o Balanço Energético Global da Usiminas em 2016 - Usina de Ipatinga, com os principais indicadores de consumo das áreas produtoras. Além dos indicadores energéticos globais, o balanço apresenta os consumos físicos específicos de cada insumo nas diversas áreas, permitindo a análise de cada setor da Usina, isoladamente.

Jan 26, 2018

By Fábio Lerbach

Balanço Energético Global da Vallourec Sumitomo Soluções Tubulares do Brasil site Barreiro em 2016, com os principais indicadores de consumo energético das áreas consumidoras. Além dos indicacores energéticos globais, o balanço apresenta os consumos específicos de cada insumo nas diversas áreas, permitindo a análise de cada setor da Usina, isoladamente.

Jan 26, 2018

By Fábio Lerbach

Balanço Energético Global da Vallourec Sumitomo Soluções Tubulares do Brasil site Jeceaba em 2016, com os principais indicadores de consumo energético das áreas consumidoras. Além dos indicadores energéticos globais, o balanço apresenta os consumos específicos de cada insumo nas diversas áreas, permitindo a análise de cada setor da Usina, isoladamente. Destaca-se em 2016: - desligamento do AF em nov/2016

Jan 26, 2018

By K. Thambi

The court in Baleni v Minister of Mineral Resources [2019] 2 SA 453 GP and [2020] 4 All SA 374 (GP), deliberated on the protection of rights of a community holding informal land tenure under Customary Law. The contention related to the necessary level of consent needed to acquire a mining right over such land. Moreover, whether consultations with such communities (Section 23, Mineral and Petroleum Resources Development Act 28 of 2002 (MPRDA) or consent (Section 2, Interim Protection of Informal Land Rights Act, No. 31 of 1996 (IPILRA)) was required to acquire such right. The case has a significant bearing on the granting of mining rights in South Africa, and the discretion of the Minister of Mineral Resources (the Minister) in this regard. However, the objectives of the MPRDA and IPILRA do not dovetail, therefore consultation and consent are not mutually exclusive (Tlale, 2020). This note argues that, despite the resounding victory of this case, the peripheral basis surrounding the decision and the various levels of engagement require serious deliberation. Equally, the degree of reliance on the IPILRA requires clarity to avoid aborting the fundamental objectives of the MPRDA. This paper provides considerations and recommendations that may reduce or eliminate the tensions between the statutory and socio-economic rights in the application of the two statutes.

Sep 1, 2022

By Peter Raziszewski

"A ball charge dynamics model is presented. Simulation results are compared with observed data showing good correlation. Based on the charge dynamics models, a liner wear model is presented along with some wear simulation results. Using the charge dynamics model with the liner wear model, it is possible to envision the predictions of mill power consumption as a function of liner wear. Further work is needed to validate the liner wear model.IntroductionFrom a process control point of view, industrial systems can be considered stationary or non-stationary. For example, the physical properties, such as geometric and/or material, of a system considered stationary do not change with time. However, this is not true for non-stationary systems such as those found in the mining industry where process dynamics are often violent with wear being an intrinsic process phenomenon.In this paper, a model for ball charge dynamics will be presented along with a description for liner wear. Simulation results for power draft prediction using the charge model will be compared with observed data. Further, liner wear results will also be presented."

Jan 1, 1997

By Frank W. Reinrniller

Mill ball charging systems have undergone little change during the past two decades. Most operations utilize a locomotive/ball car combination to load and haul charges from the ball storage bin to the mill charging boxes or, alternatively, transport charges to the charging boxes by means of a ball bucket handled by bridge crane. This paper describes a new concept in ball handling systems that is in operation at the Island Copper Concentrator of Utah Mines, Ltd. at Port Hardy, B.C. This system employs a narrow belt conveyor to convey a weighed charge to each of nine belt unloading stations at the mills. In operation, the system has proved to be practicable, trouble-free and economical of operating labor.

Jan 1, 1977

By Tom F. Deems

The term ball clay is applied to plastic sedimentary clays that have a high content of kaolinite and that possess white firing properties and high green strength (Mitchell and Stentiford, 1973). However, the name ball clay is not derived from any specific property of the clay. Instead, it comes from the original method of production in southwestern England (Scott, 1929). From open pits, the clay was cut into cubes with hand tools. The sides of the cubes were about 220 to 250 mm (9 to 10 in.) and weighed 14 to 16 kg (30 to 35 lb.). The eventual rounding of the corners with handling before sale gave rise to the term ball clay. Ball clays provide the workability and green strength required by the whiteware section of the world's ceramic industry. The main applications are in the sanitaryware, tile and tableware sectors. Each, though, requires particular technical properties in the ball clay component. The clay has to be as white firing as possible for all applications. However, for sanitary-ware, the rheological properties are most important. For tableware, fired whiteness and freedom from specking are the main criteria. Tiles need a reasonable green strength but the clay also needs to be cost-effective. The technical properties of the individual clays in any deposit depend on the clay mineral assemblage. This, in turn, depends on the geological formation of the deposits. Hence, it is the latter that largely determines the market sector for which the clay blends from a particular deposit are suited. Formation of ball clays Ball clays are formed from three main components - kaolinite, micaceous minerals and quartz - while carbonaceous material is also often present. The crystallinity of the kaolinite and mica varies. There are also occasional minor occurrences of feldspar, chlorite, montmorillonite andmixed. layer minerals. Marcasite, siderite and anatase also occur in small amounts. The properties of the clay depend on its mineralogical composition and its particle size distribution, particularly in the lowest size ranges. The original source rocks and the environment of deposition of the clay are the controlling factors. The importance of weathering processes in the formation of ball clays has long been recognized (Bristow, 1968). The diversity of source rocks produces considerable variation in the clay minerals formed. Therefore, each deposit is unique, with time-related variation within it. The greatest development of a weathering mantle takes place in a tropical climatic environment. Plant remains confirm that most ball clay deposits were formed under hot and wet conditions. Sedimentation of the clays had to be in fresh or low salinity water or clay minerals detrimental to whiteware manufacture would have been formed. Fresh water traps for the ball clay, sand and lignite sequences depended -on tectonic features, such as basin development along fault zones or lakes and lagoons on the edge of a large scale embayment. These factors for Devon ball clays were discussed by Vincent (1983). The combination of suitable source rocks, tropical climate, significant fresh water sedimentary environment

Jan 1, 1997

By T. F. Deems

The nature, usage and comparatively rare occurrence of ball clay is described. The importance of these white firing plastic clays in ceramics, particularly in the production of industrial sanitary ware and tiles, is emphasized. The US deposits are briefly discussed. What is known about relevant deposits in Brazil, Argentina, Colombia and Venezuela (the four largest ceramic producers in South America) is also described. The ceramic plants have been sited near the centers of population rather than the plastic clay deposits. At present, extraction is probably concentrated on surface residual deposits and lenses which require minimum investment. Native plastic clays are used exclusively in the tile plants, but in sanitary ware, they are often used as extenders of imported ball clays.

Jan 1, 1997

By V. Sheikhzadeh, M. Saghaeian, R. Hejazi, A. Abazarpoor

"The morphology of pellet feed is known to influence several properties of iron ore pellets, including drop number, compression strength and reduction properties. The effect of grinding method on the particle size, specific surface area and particle shape of an iron ore concentrate has been studied. Grinding methods considered were ball mill and high pressure grinding rolls (HPGR). 5 different samples (Blaine= 1800, 1900, 2000, 2100 and 2200 cm2g-1) were used to compare the size, shape and specific surface of particles for each grinding methods. Particle size was meticulously examined by sieve analysis, laser sizing and image analysis. In samples ground by ball mill, it has been observed that the fraction of particles <10µm increases from 39% to 46% as the Blaine number increases from 1800 to 2200 cm2g-1. For HPGR samples, corresponding figures are 41% and 49% respectively. It is evident that for samples ground by HPGR, the fraction of fine particles is higher than that of those ground in the ball mill. To measure the specific surface area of particles, Blaine and BET were used. A higher real surface area was observed from HPGR treatment in comparison to ball mill grinding, provided by a higher porosity, cracks, roughness and new surfaces. Shape factor of particles was determined using three descriptors: circularity, roughness, and aspect ratio. It was also observed that particles produced by HPGR were more elongated, less circular, and rougher than those processed by the ball mill. 1. INTRODUCTION Particle size and shape are important parameters that can significantly affect mineral processing plants and pelletizing plant performances (Brozek and Surowiak, 2007). It has also been proposed that green pellet quality is directly related to the amount of fine particles in a pelletizing plant (Dwarapudi et al., 2008; Umadevi et al., 2008; Gul et al, 2014; Van der Meer, 2015). Particle size distribution and specific surface area (SSA) are also key factors that can control the quality of green and fired pellets. Processing circuits generally reduce the fines fraction to lower than the required specific surface area (SSA). It is therefore necessary to regrind concentrates to produce suitable pellet feed for further treatment in the balling and firing steps [1, 2]. Two main methods are used for re-grinding of concentrate; high pressure grinding rolls (HPGR) and ball mill. Given the different forces used to reduce size in these methods, it is expected the shape of particles will be different (Pourghahramani and Forssberg, 2005)."

Jan 1, 2018

By Klados. T.

MSC.Software assessed the performance of the drive end and non-drive end bearings on a ball mill using the finite element method. The assessment included the effect of mill and pedestal deformation on the performance of the bearings. Oil film thickness, oil pressure distribution and power requirement were of interest. A solution approach coupling a structural solver to a Reynolds equation solver was specifically developed for the project. Results showed that the deformation of the bearing surfaces had a significant influence on the performance of the bearings. For example, for the non-drive end bearing, the minimum oil film thickness computed for the deformable bearing surfaces was significantly lower than calculated for the non-deformable case. The results also showed that cavitation was likely in both the drive end and non-drive end bearings (severe negative pressures were obtained in both bearings). Other design variations were also assessed, e.g. a case with a modified radial clearance which improved the results.

Jan 1, 2006

By P Allum

This paper presents a case study to reduce the operational cost on the secondary ball mill circuit in the Lead/Zinc Concentrator at Mount Isa Mines. The circuit includes two five-metre diameter ball mills each closed with a cluster of ten 15-inch cyclones. The operating cost for both ball mills is about six million Australian dollars per annum.The concentrator achieves 75 per cent of the plant design capacity with one ball mill operating, but will have to use two ball mills when 100 per cent plant capacity is required. The optimisation study on the circuit identified a new flowsheet that enabled the concentrator to reach 100 per cent of the capacity by using one of the two secondary ball mills. The success of the project utilised the existing equipment rationally and saved the operational cost for one ball mill at full concentrator capacity. A further simplified secondary circuit is proposed using the IsaMill for the secondary grinding duty. Performance of the IsaMill circuit and the potential cost savings are predicted.

Jan 1, 2002

By O. M. Arafat, J. A. Finch

"The Functional Performance Equation calculated from a plant grinding survey defines two distinct ball mill circuit efficiencies and how they relate to total production rate through the target grind size. The survey data are also used to calculate a complete ball mill size distribution model, represented by the energy specific grinding rates, not just through the target grind size, but through all the size classes. Cyclone separation performance is represented by individual size recoveries to underflow. When these two unit operation performances are entered into the circuit modelling program (Streamline™), along with the circuit feed rate and size distribution, all the circuit survey size distributions and mass flows are perfectly regenerated by the program. The many issues associated with the historical Epstein (breakage-selection) models are eliminated. Once the circuit program is populated, pump and cyclone performance changes can be evaluated using a step-by-step procedure in order to maximize Classification System Efficiency. Mill water use and media sizing opportunities are also diagnosed in order to maximize Mill Grinding Efficiency at the size of interest. An example is provided. This circuit analysis and modelling system, and related training, is provided through a web-based application. INTRODUCTION Since its development (McIvor, 1988), the Functional Performance Equation for ball milling has facilitated new understanding of industrial circuit cause and effect relationships, leading to significant strides in operational performance. Success stories of this refreshing approach to plant circuit performance improvement are now too numerous to list. Finch and McIvor (circa 1986) also discovered that the Functional Performance “Mill Grinding Rate” at the size of interest was the same cumulative grinding rate that is calculated from mill feed and discharge size distributions using a first-order rate equation. By calculating these cumulative grinding rates for all screen sizes, a complete ball mill model is generated (as used by Finch and Ramirez, 1981). Others in industry, Hinde and Kalala (2009), for example, have noted the same. Lacking the complexity needed to maintain their interest, most researchers have ignored this model, broadly opting instead for Epstein’s (1948) characterization of grinding as a chemical reaction, combining “selection rate” and “breakage size distribution” functions. The much simpler ball mill model presented here has previously been incorporated into a proprietary circuit modeling program (McIvor, 2005) and used for plant improvement work (for example, see McIvor and Finch, 2007, and McIvor, 2014). Now, by combining this extremely business-friendly ball mill model with optimization criteria from Functional Performance Analysis, a circuit modeling system (including the needed supplementary steps to assure successful plant implementation of circuit design changes) is at the disposal of every plant metallurgist, grinding equipment/material provider, and circuit designer."

Jan 1, 2017

By O. M. Arafat, J. A. Finch

Since its development, the functional performance equation for ball milling (McIvor, 1988) has facilitated a new understanding of industrial circuit cause and effect relationships, leading to significant strides in operational performance. Success stories of this approach to plant circuit performance improvement are now too numerous to list. Finch and McIvor (circa 1986) also discovered that the functional performance mill grinding rate at the size of interest was the same cumulative grinding rate that is calculated from mill feed and discharge size distributions using a first-order rate equation. By calculating these cumulative grinding rates for all screen sizes, a complete ball mill model is generated (as used by Finch and Ramirez, 1981). Others in industry, Hinde and Kalala (2009), for example, have noted the same. Lacking the complexity needed to maintain their interest, most researchers have ignored this model, broadly opting instead for Epstein’s (1948) characterization of grinding as a chemical reaction, combining selection rate and breakage size distribution functions. The much simpler ball mill model has previously been incorporated into a proprietary circuit modeling program (McIvor, 2005) and used for plant improvement work (for example, see McIvor and Finch, 2007, and McIvor, 2014). Now, by combining this business-friendly ball mill model with optimization criteria from functional performance analysis, a circuit modeling system (including the needed supplementary steps to assure successful plant implementation of circuit design changes) is at the disposal of every plant metallurgist, grinding equipment/ material provider and circuit designer.

Jan 11, 2017

By D. A. Longhurst

Improper size distribution of the grinding media in a multicompartment mill can be a source of many operation problems encountered. Inefficient use of the power expended for grinding, and an undesirable product size distribution are two frequent resultants. It is necessary to resize the grinding media in the leading mill compartment at time intervals related to the abrasive nature of the material being processed. In practice, this is done when time permits and with sketchy guidelines, if any. Maintenance of the grinding media size distribution can be scheduled, and would be, with a realistic method supplied to the user.

Jan 1, 1984

By T. P. Weldum, W. Conger

"The objective of the study conducted by the authors is to determine what media size(s) addition will maximize any given plant ball mill’s grinding efficiency (Fig. 1). The functional performance parameters “mill grinding rate through the size of interest,” and “cumulative mill grinding rates” from both plant and smallscale tests are applied to this task. A plant media sizing methodology, and industrial case studies, are provided.BackgroundA previous article (“Ball mill classification system optimization through functional performance modeling,” Nov. 17, McIvor et al., 2017, Mining Engineering) described circuit classification system efficiency (CSE), equal to the percentage of coarse (plus circuit P80 target size) material in the ball mill. It can be measured and then increased through pump and cyclone adjustments. By so transferring the application of ball mill power from fine (minus P80 product size) to coarse material, circuit efficiency is increased and overgrinding is decreased.The other factor that determines overall circuit efficiency is how well the power that is applied to the coarse material grinds it. This is affected by design and operating variables like the media sizing and mill percent solids. From circuit functional performance (McIvor et al., 1990):Circuit production rate of new fine material (t/h) = Power applied to coarse material (kW) x Mill grinding rate of coarse material (t/kWh) (1)The power applied to coarse material is the total mill power multiplied by the CSE. Therefore:Circuit production rate of new fine material (t/h) = Total mill power (kW) x CSE (%) x Mill grinding rate of coarse material (t/kWh) (2) Production rate, mill power and CSE can be measured during a plant circuit survey. The mill grinding rate of coarse material is then calculated. At the circuit target P80 size, this is the mill grinding rate (of coarse material) through the size of interest. The objective is to maximize this rate. The mill grinding efficiency can also be calculated by taking the ratio of the mill grinding rate over the material’s grindability as measured in the lab. Mill percent solids optimization has thusly been achieved (McIvor et al., 2000). For media sizing, maximizing the mill grinding rate on a given ore is equivalent to maximizing the mill grinding efficiency. Ores of different grindability will be part of the discussion."

Jan 11, 2018