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By Sushanta Majumder

The physico-chemical characteristics of raw materials used for the production of iron ore pellets have a strong influence on the productivity of pelletization operations and on the quality of pellets. Since iron ores from different sources are used for making iron ore pellets and since the quality of the ores varies with time, there is a need to optimize and control pellet plant operations on a regular basis to achieve optimum productivity while maintaining pellet quality within the desirable specifications. In order to achieve this objective, a model-based on-line optimization system was implemented on two industrial scale induration furnaces. The optimization system consists of a rigorous mathematical model of the induration process, a model for the permeability of the bed of pellets, a statistical model for the quality of iron ore pellets and an optimization module based on sequential quadratic programming. The rigorous model is tested on-line using the wind-box temperature available real-time. The process was optimized to enhance induration furnace productivity for the given constraints on pellet quality parameters such as the cold compressive strength (CCS) and Tumble Index (TI), and other equipment design parameters. Process variables such as induration machine speed, cold air flow rate and hood temperature profile were used as the optimization variables. The on-line optimization system was successfully implemented in two industrial induration furnaces and lead to enhanced productivity. Details of the on-line optimization system and results of process optimization will be presented.

Sep 1, 2012

By Rambabu Pothina, Rajive Ganguli

The economics of a mineral processing circuit is dependent on the numerous sensors that are critical to optimization and control systems. The sheer volume of sensors results in mines not being able to keep the sensors calibrated. When a sensor goes off calibration, it results in errors which can severely impact plant economics. Normally, these errors are not detected until the error grows and becomes a large (“gross”) error. Undetected errors are not remedied until the next calibration, which on average are a year apart Beamex (2019) [1] across all industries. Classical statistical methods that depend on linear relationships between input and response variables are typically used to find gross errors, but are not effective for highly non-linear and non-stationary operations in mining and mineral processing industries. Calibration of sensors is time-consuming and generally requires physical intervention that results in equipment downtimes causing production losses. Therefore, in situ detection methods are warranted that do not require physical removal of sensors to compare with standard measurements or well-calibrated sensors. Data-mining based techniques and algorithms have high success rate in tackling such problems. This paper presents results from a groundbreaking multi-year big data research project whose goal was to develop data-mining-based original techniques in a multi-sensor environment to identify when sensors start to stray, rather than wait for errors to grow. The carbon stripping (gold) circuit in the Pogo Mine of Alaska was selected for this project. Maintaining strip vessel temperatures at optimum levels is crucial for maximizing gold recoveries at Pogo, and hence the focus was on the temperature sensors of the two strip vessels. An automated algorithm to detect errors in strip vessel temperature sensors was developed that exploited data from multiple sensors in the strip circuit. This algorithm was able to detect with a high success rate when bias errors of magnitude as low as ± 2% were artificially induced into strip vessel temperature data streams. The detection times of about 1 month were much less than the industry average calibration frequency of 1 year. Thus, the algorithm helps detect errors early, without stopping the circuit. The algorithm alarms can serve as triggers when calibrations are done. Experimental methodology along with results, limitations of algorithms, and future research are also presented in this paper.

By C. Díaz

Roast-reduction smelting (RRS) of nickel concentrate, combined with flash smelting of copper concentrate, was one of the process options that Inco considered as a means of meeting its 1994 sulfur dioxide abatement target at its Copper Cliff operations. RRS involves deep roasting the nickel concentrate in fluid bed roasters. The roaster off-gas is heated in a sulfuric acid plant, and the low sulfur calcine is reduction smelted with coke in an electric furnace to yield a sulfur-deficient matte. The latter material is converted to Bessemer matte in Peirce-Smith converters, with minimal evolution of sulfur dioxide, and the converter slag is reverted to the electric furnace. Excellent nickel and cobalt recoveries are obtained. This paper discusses the development of RRS, including extensive commercial scale testing at Inco's Thompson Smelter, and its key operating parameters.

Jan 1, 1993

By Rambabu Pothina, Rajive Ganguli

The economics of a mineral processing circuit is dependent on the numerous sensors that are critical to optimization and control systems. The sheer volume of sensors results in mines not being able to keep the sensors calibrated. When a sensor goes off calibration, it results in errors which can severely impact plant economics. Normally, these errors are not detected until the error grows and becomes a large (“gross”) error. Undetected errors are not remedied until the next calibration, which on average are a year apart Beamex (2019) [1] across all industries. Classical statistical methods that depend on linear relationships between input and response variables are typically used to find gross errors, but are not effective for highly non-linear and non-stationary operations in mining and mineral processing industries. Calibration of sensors is time-consuming and generally requires physical intervention that results in equipment downtimes causing production losses. Therefore, in situ detection methods are warranted that do not require physical removal of sensors to compare with standard measurements or well-calibrated sensors. Data-mining based techniques and algorithms have high success rate in tackling such problems. This paper presents results from a groundbreaking multi-year big data research project whose goal was to develop data-mining-based original techniques in a multi-sensor environment to identify when sensors start to stray, rather than wait for errors to grow. The carbon stripping (gold) circuit in the Pogo Mine of Alaska was selected for this project. Maintaining strip vessel temperatures at optimum levels is crucial for maximizing gold recoveries at Pogo, and hence the focus was on the temperature sensors of the two strip vessels. An automated algorithm to detect errors in strip vessel temperature sensors was developed that exploited data from multiple sensors in the strip circuit. This algorithm was able to detect with a high success rate when bias errors of magnitude as low as ± 2% were artificially induced into strip vessel temperature data streams. The detection times of about 1 month were much less than the industry average calibration frequency of 1 year. Thus, the algorithm helps detect errors early, without stopping the circuit. The algorithm alarms can serve as triggers when calibrations are done. Experimental methodology along with results, limitations of algorithms, and future research are also presented in this paper.

By Thais da Silva Rocha

O objetivo deste trabalho é avaliar a reatividade de um metacaulim comercial a partir da análise de sua cristalinidade. Um tratamento térmico é proposto a fim de tornar o material mais amorfo e para isso o metacaulim comercial já calcinado foi submetido a três tempos e temperaturas de queima em forno mufla (700°C em 1h, 600°C em 2h e 500°C em 1h). Após a queima o tratamento térmico que alcançou o melhor resultado foi o de 600°C em 2 horas, apresentando quase que somente picos cristalinos de quartzo nas análises de DRX. Para avaliar a influência do amorfismo na resistência mecânica de argamassas geopoliméricas foram moldados corpos de prova cilíndricos de Ø 50x100 mm com o metacaulim comercial como referência e com os metacaulins calcinados. Todas as argamassas foram feitas com a mesma dosagem e ensaiadas com 24 horas após a moldagem. O aumento de resistência à compressão chegou a 53% com o metacaulim queimado a 600°C, mostrando que assim como acontece com argamassas de cimento Portland a calcinação completa é um fator crucial para o ganho de resistência mecânica em argamassas geopoliméricas.

Oct 30, 2017

By Izabela Vieira Teixeira Neves

Os aços inoxidáveis ferríticos estabilizados com nióbio apresentam grãos mais refinados e uma recristalização mais homogênea quando comparados aos não estabilizados. Contudo, em seu processamento industrial, mais especificamente na laminação a quente, utiliza-se um recozimento antes da etapa de laminação a frio e do recozimento final, visando a homogeneização da microestrutura de entrada. Objetivando a melhoria das propriedades de estampagem e soldagem em aços com adição de Nb, bem como uma possível redução de custos com a eliminação do recozimento após a laminação a quente, foram realizados testes com o aço inoxidável 430 estabilizado com Nb de forma a acompanhar a evolução de sua microestrutura e textura após ser submetido à laminação a frio com 80% de redução e recozimento a tempo constante (900 s) e diferentes temperaturas, 400°C a 1.000°C, partindo-se de ambas condições iniciais. A quantificação da recristalização foi feita através da fração amaciada em função da temperatura, obtida pela curva de microdureza Vickers. A interpretação da textura foi obtida por exames por microscopia eletrônica de varredura e difração de elétrons retroespalhados (EBSD). Para o encharque de 900 s, a recristalização se inicia a 700°C. A 750°C o aço se encontra completamente recristalizado, alcançando um tamanho de grão da ordem de 8,0 µm. Os resultados mostram que o aço não recozido após a laminação a quente apresentou grãos mais refinados e ligeiramente menores. Além disso, notou-se o aumento da fibra gama e redução da fibra alfa em ambas as condições de processamento à medida que a recristalização progredia.

Aug 8, 2018

By Andre Luis de Zorzi Marin

O corte a plasma de aço inoxidável tem história relativamente nova em comparação com outros meios de corte de metais. Frequentemente os usuários de corte plasma se deparam com questões específicas ao corte do aço inoxidável, como qualidade de corte, velocidade de corte, custo operacional e alterações nas propriedades metalúrgicas. Nos últimos vinte anos as tecnologias aplicadas no corte plasma do aço inoxidável tem evoluído com resultados atrativos nos últimos cinco anos. Estas tecnologias versam com alterações na mistura dos gases de plasma e de proteção, ou ainda, na mudança dos bicos de corte plasma buscando melhor constrição do arco plasma, e a devida seleção de gases em função da espessura de corte. Este trabalho foi desenvolvido através de revisão bibliográfica das principais tecnologias apresentadas pela indústria nas últimas duas décadas para o corte de aço inoxidável com plasma, e testes laboratoriais de corte com as últimas tecnologias de corte. Entre os resultados estão a redução até a eliminação da escória pós-corte, uma borda de corte menos arredondada, melhora na coloração da superfície e diminuição da zona afetada pelo calor na peça de trabalho. A importância do trabalho se dá pelo aumento da participação do uso do aço inoxidável dada a sua importância para a economia, em especial nos setores de energia, processamento de alimentos, papel e celulose e transportes que necessitam de melhorias no corte deste metal e suas ligas.

Jan 16, 2018

By F. E. Chase

Mobile roof supports are shield-type support units mounted on crawler tracks. Mobile roof support (MRS) units are used during retreat mining, and they eliminate the setting of roadway, turn, and crosscut breaker posts which are required during pillar recovery operations. Mobiles are a more effective ground support than timbers, and their usage enhance the safety of section personnel and reduces material handling injuries. MRS usage is rapidly increasing, and approximately 40 U.S. coal mines have successfully employed this relatively new technology. This paper is in response to increasing requests from operators, State and Federal Regulatory Agencies, and others on the practical aspects of MRS usage in underground coal mines. During this investigation, nearly half of the U.S. mines which have utilized mobiles were visited. This report depicts the more common pillar extraction methods which operators have found successful. The Christmas tree and outside lift methods are illustrated and discussed. Roof control plans that do not require breaker posts or allow pillar extraction with fewer than four mobiles are also examined. In addition, operators' experiences with setting pressures, loads, and rates of loading during pillar extraction are addressed. Mining and support strategies to more effectively control hillseams, weak roof, and gob overrides which have entrapped equipment are also discussed.

Jan 1, 1996

By Hugo Montalvão Gontijo

O complexo de extração, beneficiamento e transporte de minério de ferro denominado Minas-Rio, de propriedade da Anglo American, consome na moagem primária uma grande quantidade de corpos moedores (bolas metálicas). Recentemente, foi desenvolvido em 4 etapas um trabalho para automatizar a reposição dos corpos moedores e estabilizar o grau de enchimento do moinho. Na etapa A, com a reposição sendo realizada com auxílio de um operador. Na etapa B, com a reposição sendo realizada automaticamente de acordo com uma taxa de reposição predefinida. Nas etapas C e D, com a taxa de reposição sendo alterada por meio do sistema de controle avançado OCS-4D©, considerando a potência do moinho como indicação indireta do grau de enchimento. É possível verificar após a implementação das modificações uma maior estabilidade da potência e consequentemente maior estabilidade do grau de enchimento.

Oct 30, 2017

By C. Steve Albrecht

The primary objective of this study is to "evaluate the influences of different equipment systems on prime farmland subsoil compaction due to surface mining in the Midwest." The study is centered on four mine sites each utilizing a different combination of equipment for soil removal and replacement. Subsoil compaction is the primary focus of this research effort. Primarily owing to physical location, it is difficult to alleviate the increased compaction directly below the topsoil in reclaimed soils. Different equipment combinations cause varied effects when soils are replaced during surface mining activities. By collecting field data within a statistical framework, the effects of different equipment combinations on subsoil compaction can be evaluated and conclusions drawn. This research effort evaluates a comparison of natural and replaced soils by moist bulk density data. This comparison centers on changes in bulk density and texture to a depth of 48 inches. For each study site a complete case study is provided for use in data correlation and interpretation. Basis for this research effort centers on four (4) major experiment designs: o Comparison of soil bulk density values for three distinct equipment systems evaluated on the same general soil types (i.e. scrapers, bucket-wheel excavators and end-dump haulback); o Evaluation of the effects of soil replacement in repeated lifts using scrapers; o Presentation of bulk density values representing soil compaction for four (4) equipment systems (i.e. bucket-wheel excavators, draglines, scrapers and end-dump haul back) on four separate mine sites in the midwest; o A prediction analysis model is developed for subsoil bulk density following reclamation based on equipment characteristics and a statistical evaluation of texture. The soil data base of information includes data from the 1982 Bureau of Mines study entitled, "Impact of Surface Mining on Soil Compaction in the Midwest" as well as data from this research project. The final report is synthesized through an analysis of field data, statistical analysis and literature review. The final report focuses on the interpretation of results for practical application by government and industry.

Jan 1, 1984

By L. Tercero Espinoza, F. Marscheider-Weidemann, C. Gandenberger

"A reliable supply of non-energy raw materials is a precondition for the functioning of the European economy. In line with its importance, the issue of raw materials supply has become more prominent in the past years, especially owing to turbulent raw material markets. However, these turbulences are not due to depletion of the geological resources but to a missmatch of (expected) supply and (expected) demand, with several interacting factors influencing the markets both from the supply as well as from the demand side. A recent evaluation, published in June 2010 within the framework of the EU Raw Materials Initiative, sought to bring together these two sides of raw material markets and asked the question "which raw materials are critical for the EU?" Herein we present the methodology used by the Ad-hoc Working Group on Defining Critical Raw Materials and the results obtained, complemented by results from the study "Raw Materials for Emerging Technologies"."

Jan 1, 2011

By Justyna Swolkień, Nikodem Szlązak, Dariusz Obracaj

Polish coal mines are characterized by severe geological conditions and the co-occurrence of natural hazards. These hazards are associated with methane and dust emissions during mining processes which can provide methane, dust or methane-dust explosions. Besides, there are such natural hazards as gas and rock outbursts, rock bursts, spontaneous combustion of coal and environmental heat load. The mutual influences of various geological conditions, as well as the natural hazards, intensify the increase of the methane explosion hazard. The occurrence of methane explosions in the Polish mining industry between 2013 and 2108 are analyzed. Fatal accidents are compared with similar events in the global mining industry. The methods of preventing the explosion hazard as well as methane emission control in the Polish coal mining sector are presented. Methane hazard prevention should be adapted to levels and other natural hazards, especially those related to ventilation of underground mine. The methods of preventing methane emissions into mine excavations are often contrary to the means of preventing other ventilation-related hazards in the underground mine, e.g. the prevention of spontaneous combustion of coal in the goaf of longwall panel. Therefore, the design of longwall panels should be preceded by a detailed analysis of the results of both methane emission prediction and forecast of other ventilation-related hazards.

By Justyna Swolkień, Nikodem Szlązak, Dariusz Obracaj

Polish coal mines are characterized by severe geological conditions and the co-occurrence of natural hazards. These hazards are associated with methane and dust emissions during mining processes which can provide methane, dust or methane-dust explosions. Besides, there are such natural hazards as gas and rock outbursts, rock bursts, spontaneous combustion of coal and environmental heat load. The mutual influences of various geological conditions, as well as the natural hazards, intensify the increase of the methane explosion hazard. The occurrence of methane explosions in the Polish mining industry between 2013 and 2108 are analyzed. Fatal accidents are compared with similar events in the global mining industry. The methods of preventing the explosion hazard as well as methane emission control in the Polish coal mining sector are presented. Methane hazard prevention should be adapted to levels and other natural hazards, especially those related to ventilation of underground mine. The methods of preventing methane emissions into mine excavations are often contrary to the means of preventing other ventilation-related hazards in the underground mine, e.g. the prevention of spontaneous combustion of coal in the goaf of longwall panel. Therefore, the design of longwall panels should be preceded by a detailed analysis of the results of both methane emission prediction and forecast of other ventilation-related hazards.

By David Oyler

Sonic travel time logging of exploration boreholes is routinely used in Australia to obtain estimates of coal mine roof rock strength. Because sonic velocity logs are relatively inexpensive and easy to obtain during exploration, the technique has provided Australian underground coal mines with an abundance of strength data for use in all aspects of ground control design. However, the technique depends upon reliable correlations between the unconfined compressive strength (UCS) and the sonic velocity. This paper describes research recently conducted by the National Institute for Occupational Safety and Health (NIOSH) aimed at developing a correlation for use by the U.S. mining industry. At three coreholes in Illinois, Pennsylvania, and southern West Virginia, sonic velocity logs were compared with point load tests for a broad range of coal measure rock types. For the entire data set, the relationship between UCS and sonic travel time is expressed by the following equation, where UCS is in psi and t is the travel time of the P-wave in microsec/ft. UCS = 468,000 x e-0.054t (1) The r-squared value for this equation is 0.87, indicating that a strong correlation between sonic travel time and UCS can be achieved with this technique. The paper also addresses the steps that are necessary to ensure that high-quality sonic logs are obtained for use in estimating UCS.

Jan 1, 2008

Judicious placement of a range of geotechnical instruments was employed at the Tasmania gold mine, Beaconsfield, Tasmania, as a key strategy in the monitoring of rock mass conditions over the past four years. The range of instruments employed included vibrating wire stress-meters and hollow inclusion cells to monitor changing stress conditions, resistance wire and multipoint borehole extensometers to monitor the impact of stress changes on the integrity of the rock mass, and instrumented cable bolts and threadbar bolts to monitor the static and dynamic impact of rock mass changes on the installed ground control system. Initially the monitoring was of a qualitative nature, monitoring change from the time of installation. The value of the output was considerable when considered in relation to the ongoing seismic record which was also being monitored. It was clear from the seismic record and the monitoring results that stope blasting was the primary trigger for changing rock mass conditions. However, it was unclear how well observed behaviour was reflecting conditions anticipated by elastic numerical modelling. The latter had predicted significant stress increase in the near field of man-access footwall development. Qualitative monitoring and visual inspection did not support the modelling prediction, and this led to a program of quantitative measurement being undertaken. Measurement of the absolute stress condition in the backs of footwall development immediately adjacent to monitoring hollow inclusion cells provided the benchmark for tracking quantitative stress change. The program provided insight into the evolution of principal stress field magnitude and orientation in relation to rock mass change observed with extensometers and instrumented ground control elements, as well as providing a degree of calibration between the elastic numerical modelling and the virgin stress field. Calibrated monitoring data has also provided a useful benchmark for finite element modelling which is to be used for future mine-wide design.

Nov 25, 2010

By Raissa Santos Salgado

O refino primário através dos convertedores BOF representa uma etapa fundamental na fabricação do aço. Em meio a um mercado desafiador e competitivo, estabilidade operacional e inovações são necessárias para alcançar qualidade e preços razoáveis. Com o intuito de estudar o sopro combinado através de um modelo físico, similar com convertedor da thyssenkruppCSA 330t, foi utilizada uma análise visual associada a métodos colorimétricos para mensurar a penetração do jato e a melhor configuração de ventaneiras. Com base nesses métodos, encontrou-se a distância banho-lança que reduz o tempo de mistura com menor probabilidade de slopping. A partir dos resultados obtidos no modelo a frio, os parâmetros foram recalculados para a prática industrial.

Oct 30, 2017

By W. L. Dare

This report is one of a series published by the Federal Bureau of Mines to describe methods and costs of mining uranium on the Colorado Plateau. The Navajo Uranium Division of Kerr-McGee Oil Industries, Inc., mines uranium from several deposits of carnotite-type ores, which lie buried in the Lukachukai Mountains on the Navajo Indian Reservation, Apache County, Ariz. The country is rugged and isolated Constructing and maintaining roads has been a continuous task. The ore bodies occur within the Salt Wash member of the Jurassic Morrison formation and are similar to other such deposits on the plateau. The current mining activity in the Lukachukai Mountains is a result of uranium-ore discoveries in 1949, although the Navajos undoubtedly knew of the outcrops of yellow uranium minerals long before that time. The ruggedness of the country and the heavy soil cover over much of the surface hampered prospecting, but probably the main reason the ore was not found sooner is that no one took the trouble to look for it in the Lukachukai Mountains.

Jan 1, 1961

By Camila Magalhães Gonçalves

O aço inoxidável ferrítico tipo 430 estabilizado com Nb, com e sem recozimento após laminação a quente, foi laminado a frio e submetido a recozimentos isotérmicos em temperaturas de 650, 700, 750 e 800°C por tempos variando entre 10 e 86400 s. A quantificação da fração recristalizada foi realizada pelo modelo de JMAK e pela microdureza ao longo do recozimento. A evolução da textura foi analisada via técnica de EBSD. Ocorreu o refino de grão após a recristalização, resultando em um tamanho médio de 8 mm. A temperatura de recristalização aconteceu a 750°C e esta teve maior efeito na recristalização que o tempo. Os expoentes de Avrami se situaram entre 0.8 e 1.2, significando nucleação em contorno de grão. A taxa de nucleação e de crescimento do grão diminuiu continuamente com o tempo. Em relação à textura, observou-se um aumento da intensidade das componentes (111)[121] e (111)[011] da fibra g e diminuição na intensidade da fibra a de deformação. Um modelo de cinética de recristalização do aço tipo 430 estabilizado com nióbio que leva em conta os processos de nucleação e crescimento foi obtido.

Jan 16, 2018

Jan 1, 1882

By Kiichiro Hayashi

"Indonesia is one of the world leaders in palm oil production. Palm oil industry is an industry to be considered when it comes to environmental impacts. This paper utilizes three step approaches. First, a material flow analysis of palm oil related industry was conducted in Indonesia. Second, a factory visit survey was conducted for getting information on environmental impacts of plantation and CPO mills. Third, a LCA study was made for a model Indonesian CPO mill in several bio-waste treatment options. Main findings were that, first; over 70% of FFB was bio-wastes generated from CPO mills. Second, some mills introduced a zero emission bio-waste policy. However, untreated bio-wastes in the zero emission policy, such as, CH4 from POME ponds, may have potential to reduce more impacts on the environment. Introduction Indonesia is one of the world leaders in palm oil production with approximately 12.4 million tons of crude palm oil (CPO) production in 2005 and with the plantation area 5.6 million ha spreading out in 19 provinces [10]. The expansion of palm oil cultivation in Indonesia and its export oriented industry heavily relies on the strong world market demand for food. Currently, there are 320 CPO industries in Indonesia [10]. These include plantations and palm oil related factories. Among them, there are six biggest players in CPO business in Indonesia: PT. Perkebunan Nusantara (PTPN) consisting of 9 PTPN, Sinar Mas, Raja Garuda Mas, Astra Agro Lestari, Minamas Plantation and Indofood. They are managing more than 50% of plantation estate in Indonesia and are leading the Indonesian palm oil business.Palm oil industry is an industry to be considered when it comes to environmental impacts. Unfortunately, there is not so much available information related to the performance of each CPO on environmental impacts. There are reports which provide information on environmental impacts of CPO mills in South East Asian countries, but are limited to, for instance, Thailand’s cases [4 and 5] and Malaysia’s cases [1, 3, 6, 7, 9, 11 and 12]. On the other hand, similar studies on the Indonesian’s case are not well established in academic literatures. And also there is limitation on Indonesian palm oil industrial information from plantation to consumption and disposal in academic articles. There is no literature related to material flow analysis focusing on the whole Indonesian palm oil related industry. One way to describe and present the environmental impacts is through a life cycle assessment (LCA). The LCA could be used to estimate the impacts of CPO production including the stages of plantation, transportation and milling [5, 8 and 11]. However, studies on Indonesian CPO production process were not well established in academic articles. The purpose of this paper is thus to clarify environmental impacts of palm oil industry in Indonesia especially by focusing on plantation and CPO mills with consideration to various bio-waste treatments."

Jan 1, 2008