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By A. Adeli, A. V. Metcalfe, E. Addo, E. Sepulveda

"The accurate modelling of geometallurgical data can significantly improve decision-making and help optimize mining operations. This case study compares models for predicting copper recovery from three indirect test measurements that are typically available, to avoid the cost of direct measurement of recovery. Geometallurgical data from 930 drill core samples, with an average length of 19 m, from an orebody in South America have been analysed. The data includes copper recovery and the results of three other tests: Bond mill index test; resistance to abrasion and breakage index; and semi-autogenous grinding power index test. A genetic algorithm is used to impute missing data at some locations so as to make use of all 930 samples. The distribution of the variables is modelled with D-vine copula and predictions of copper recovery are compared with those from regressions fitted by ordinary least squares and generalized least squares. The D-vine copula model had the least mean absolute error. IntroductionIn this paper we compare the use of D-vine copula, generalized least squares (GLS), and ordinary least squares (OLS) for modelling geometallurgical data from an orebody in South America. The first objective is to construct models for predicting copper recovery (Rec) from the Bond mill index test (BWi); resistance to abrasion and breakage index (A*b); and semi-autogenous grinding (SAG) power index test (Spi). This involves fitting a D-vine copula and regression models fitted by OLS and GLS. The second objective is to investigate the performance of the fitted models for predicting Rec (Willmott and Matsuura 2005).Traditional resource model approaches either ignore the mineral processing characteristics of extracted tonnages or treat processing as an independent component of a mining operation. The net present value (or any other objective) can be truly optimized only by considering the mining operation as an integrated system in which net value is defined as the end-product that the company sells. This approach requires the resource model to be extended to include all relevant rock properties and processing responses."

Mar 1, 2019

By M. Louarrat, G. Enaime, A. Yaacoubi, A. Baçaoui, J. Blin

"The purpose of this study is to prepare a new activated carbon from olive stones for use in gold recovery by carbon-in-leach (CIL) and carbon-inpulp (CIP). The preparation method chosen was physical activation using steam. The effect of four process parameters: the residence time for carbonization, the activation temperature, the residence time for activation, and steam flow, were studied by the mean of response surface method (RSM) in order to optimize the yield, iodine index, and attrition characteristics. These two last responses were used as primary indicators of gold recovery capacity and mechanical strength. The results obtained show that optimal activated carbon can be prepared under the following conditions: a carbonization time of 157 minutes, activation at 921°C for 53 minutes, and a water vapour flow of 0.18 mL/min. This optimum carbon has an iodine value greater than 1100 mg/g and an attrition index in the order of 0.74%. These values reflect the quality of the precursor (olive stones) as a raw material for the development of an effective new activated carbon for the gold mining industry. IntroductionActivated carbon is an effective adsorbent widely used in industry due to its high surface area, well-developed reproducible microporous structure, and high degree of surface reactivity and adsorption capacity. World consumption of activated carbon is steadily increasing. It is primarily used in industrial wastewater and gas treatment and also for silver and gold recovery from cyanide solutions (Syna and Valix, 2003; Soleimani and Kaghazchi, 2008; Buah and Williams, 2010; Eddy et al., 2011). However, activated carbon is expensive and it needs to be regenerated after each adsorption cycle. In order to decrease the cost of manufacturing activated carbon, low-cost forest and agricultural wastes are considered promising new materials. In recent years considerable research has been reported on activated carbon from agricultural wastes, such as olive stones (Yavu et al., 2010), acorn shells (Sahin and Saka, 2013), peanut shells (Wu, Guo, and Fu, 2013), grape seeds (Jimenez-Cordero, 2014), coconut shells (Yalcin and Arol, 2002; Gratuito, 2008), palm shells (Sumathi, 2009), cherry stones (Jaramilloa, Gomez-Serrano, and A´lvareza, 2009), macadamia nut shells (Eddy, 2011), apricot stones (Soleimani and Kaghazchi, 2008), and bagass (Syna and Valix, 2003)."

Mar 1, 2019

By Derek Brennan, Donald Brennan

"The existing Rondout West Branch Tunnel (RWBT) is part of the Delaware Aqueduct which has been in service since 1944 and accounts for more than 50 percent of New York City’s water supply. In early 2015, the New York City Department of Environmental Protection contracted Kiewit-Shea Constructors, AJV (KSC) to construct the Rondout West Branch Bypass Tunnel project (Rondout) in order to mitigate the leakage of 132 million L/ day (35 million gpd) of water from two areas of the existing tunnel; the Roseton and Wawarsing areas.The scope of the Bypass Tunnel 2 project is separated into two distinct phases. Phase 1 consists of completing the shaft sinking to a depth of approximately 274 m (900 ft) at shaft 5B, 213 m (700 ft) at shaft 6B and the excavation of approximately 3,850 m (12,500 linear ft) of tunnel at a diameter of 6.6 m (21 ft 7 in). This phase also includes the installation of 2,804 m (9,200 linear ft) of 4.8 m (16 ft) diameter steel interliner pipe through the new bypass tunnel with cast-in–place concrete liner for a finished diameter of 4.2 m (14 ft). Access chambers at the top of shafts 5B and 6B will be constructed for access and housing of the mechanical and electrical equipment for supporting pumps and valves.Included in phase 2 is the additional excavation from shafts 5B and 6B to the RWBT, and the drainage tunnel to remove ground water infiltration from RWBT. This work will be completed during a scheduled shutdown of the RWBT and will include approximately 31 m (100 ft) of excavation of the two connection tunnels. Additionally, construction of the permanent plugs within the RWBT will be undertaken. Figure 2 shows the layout of the work.Access to the work through the deep shaft at site 5B was critical to the success of the project. The hoisting system needed to be multi-functional to handle the different types of construction from drill and shoot of the shaft, starter and tail tunnel, the assembly of the tunnel boring machine (TBM), the excavation of the TBM tunnel including the supply of the precast segmental liner, the grouting operations, the installation of the steel interliner pipe and the cast-in-place concrete as well as ingress and egress of personnel. The production of the TBM operations was critical to the schedule of the project. This required a quick cycle for muck haulage and supply of the precast segmental liner in order to keep pace with the excavation time of the TBM. For TBM assembly, components were limited to a maximum weight of 104 t (115 st) for a single lift. Various cranes were analyzed for hoisting, however, none would meet all of the citeria. Therefore, the project team selected a specialized hoisting system designed in house in conjunction with Timberland Equipment Ltd. that consisted of a total of 14 separate hoists and winches with a total of more than 2,833 kW (3,800 hp)."

Mar 1, 2019

By J. Pelders, G. Nelson

"Fatigue is a significant concern in the mining industry as it is a causal or contributing factor in many incidents and accidents. Fatigue can be caused by work- and non-work-related factors. There is a lack of information about associations between demographic and other non-work factors, and fatigue. This study aimed to assess associations between demographic, work, living, and socioeconomic conditions, and lifestyle characteristics, and fatigue at a platinum smelter in South Africa. Eight interviews with management and two focus groups with production workers were conducted, and 75 questionnaires were completed by production and other workers. Both work- and non-work-related factors were considered to be causes of fatigue. These factors included overtime, shift work, high workloads, activities performed outside of work, age, race, housing tenure, diet, sleep disorders, stress, and job satisfaction. In general, higher levels of fatigue were reported by younger participants, those who rented accommodation, ate less healthily, had a sleep disorder, and those with high levels of stress and low job satisfaction. As various demographic, lifestyle, and wellness-related factors were associated with fatigue, both work and non-work contributors should be addressed in fatigue management plans. BackgroundFatigue may be defined as ‘a state of impaired mental and/or physical performance and lowered alertness arising as a result of, or a combination of, hard physical and mental work, health and psychosocial factors or inadequate restorative sleep’ (BHP Billiton, 2005). Williamson et al. (2011) define fatigue as a biological drive for recuperative rest. Sleepiness and fatigue are related, and the terms are often used interchangeably. However, sleepiness, more specifically, can be defined as sleep propensity, or a person’s tendency to fall asleep (Hossain et al., 2003; Shen, Barbera, and Shapiro, 2006).Increasing levels of fatigue and sleepiness are associated with lapses in attention, errors, response slowing, fluctuations in alertness and effort, and impaired attention, working memory, long-term memory, decision-making, and creativity (Alhola and Polo-Kantola, 2007; van Dongen and Dinges, 2000). Fatigue is also associated with adverse effects on mood and impulsive behaviours (Alhola and Polo- Kantola, 2007; Minkel et al., 2011; Schwarz et al., 2013). It is a significant concern in the mining industry as it is commonly identified as a causal or contributing factor in many accidents and injuries (Schutte, 2009). Fatigue can also lead to long-term health problems, including digestive problems, heart disease, stress, and mental illness (Shaw, 2003)."

Mar 1, 2019

By V. Maseko, C. Musingwini

"When considered collectively, Mineral Resources and Mineral Reserves are arguably a key asset for any mining company. Mineral Reserves are the economically mineable portions of Mineral Resources. They therefore provide a good indication of the economic prospects in the short to medium term and associated non-financial impairments for mining companies, hence a focus on Mineral Reserves. An assessment of modifying factors for converting Mineral Resources to Mineral Reserves revealed that Mineral Reserves were most sensitive to long-term commodity prices, hence the focus on long-term commodity prices. The justification for selecting gold and platinum mines is that they collectively make a significant contribution to South Africa’s earnings from mining.The introduction of the South African Code for the Reporting of Exploration Results, Mineral Resources and Mineral Reserves (SAMREC Code) in 2000 informed the basis for analysing long-term commodity price assumptions for major South African gold and platinum mining companies between 2000 and 2016. The analysis revealed that the least number of non-financial impairments occurred when long-term commodity prices were within ±5% of spot prices. This finding suggests that this range is the ideal range for long-term commodity price assumptions to improve confidence in Mineral Reserve declarations and minimize impairments. Introduction The South African Code for the Reporting of Exploration Results, Mineral Resources and Mineral Reserves (SAMREC Code) defines a Mineral Resource as ‘a concentration or occurrence of solid material of economic interest in or on the Earth’s crust in such form, grade or quality and quantity that there are reasonable prospects for eventual economic extraction’ (SAMREC, 2016, p. 18). Mineral Resources are categorized according to increasing levels of geoscientific confidence or knowledge, from Inferred to Indicated and lastly, Measured categories. The SAMREC Code defines a Mineral Reserve as ‘the economically mineable part of a Measured and/or Indicated Mineral Resource’ (SAMREC, 2016, p. 25). In some of the other reporting codes such as the Australasian Code for Reporting of Exploration Results, Mineral Resources and Ore Reserves (the JORC Code), a Mineral Reserve is synonymous with an Ore Reserve. The conversion of Mineral Resources to Mineral Reserves involves applying modifying factors, which are non-resource considerations. The modifying factors used in the Mineral Reserve estimation process include mining, metallurgical, processing, infrastructure, economic, marketing, legal, environmental, social, and governmental factors. Each of these modifying factors consists of several components which require due consideration in the estimation of Mineral Reserves. Table I shows some of the components typically considered for each of the modifying factors."

Mar 1, 2019

By Jürgen Kretschmann, Christina Suarez, Jürgen Brune, Stefan Möllerherm

"The Ruhr region in Germany’s North-Rhine Westphalia is going through significant change. By the end of 2018, the last two underground hard coal mines in the Ruhr, Ibbenbüren and Prosper-Haniel collieries, will close their portals and bring an end to more than 200 years of coal mining and an industry that was once the economic and cultural backbone of the area. Ruhr is undergoing an impressive economic and cultural transformation, as it gradually shifts from being a region once dependent on coal and steelmaking to a post-mining region focused on redesigning itself as a cultural center. This article focuses on the socioeconomic impacts of the transformation into post-mining and the roles of the government, labor unions and local community to aid the transformation from the perspective of an American student. It will look into the cultural values that are helping to drive the transformation and compare them to American standards and values in order to determine if a similar approach can be used in the United States and its coal industry. History and backgroundUnderground hard coal mining has had a long history and a significant impact on the culture and economy in Ruhr since the early 19th 20century. The Ruhr region is located in the heart of the German state of North- Rhine Westphalia. Ruhr is bounded by the Rhine River in the west, the Ruhr River in the south and the Lippe River in the north, with the Emscher River running through its center.The Ruhr is home to around 5.1 million people and spans an area of approximately 4,500 km2 (1,730 sq miles). Before the era of industrialization, the Ruhr was a rural, agricultural region. Small-scale coal mining began in the 13th century, with coal being used for heating, cooking and metallurgical processes, including steelmaking. With 19th-century industrialization, coal mining became a significant driver of the region’s economic structure. Steam engines, and soon, electric motors, allowed for the pumping of mine water and for powerful hoists hauling from deep shafts, enabling miners to reach deeper coal seams that were once thought impossible to mine. The Ruhr mining boom began in the 1850s, supported by Prussian economic policies that attracted many workers and their families to the region. The population grew from 400,000 in 1850 to 5.7 million in 1957. The coal and steel industries were key contributors to Germany’s “Wirtschaftswunder” — or “miraculous economic recovery”— in the 1950s. In 1956, the coal industry reached its peak production of around 112 Mt/a (124 million stpy) of coal and employed almost 600,000 miners."

Mar 1, 2019

By C. Birch, J. Perold

"Due to the challenging geological environment of the Postmasburg Manganese Field (PMF), a study was conducted to determine if any benefits would derive from the inclusion of resistivity data during threedimensional (3D) modelling of the manganese resource. This was achieved by estimating manganese resources from 2011/2012 drilling data and comparing them with manganese resources estimated from the same drilling data and resistivity data collected during 2013 and 2017.Both models were adjusted to limit their extent to the same 3D modelling space. Significant volume and tonnage differences were observed for all lithological units. The greatest differences were noted in the manganiferous zones of alteration – 7.200 Mt for the geological model versus 3.700 Mt for the geoelectric model.This study showed that the inclusion of resistivity data can reduce exploration costs significantly, as a direct consequence of the resistivity data allowing more accurate siting of boreholes. This decreases the number of boreholes, samples, and analyses required due to the 3D electrical delineation of mineralized areas prior to drilling.An additional benefit is the ability to more correctly forecast the net present value of an operation due to more accurate estimation of manganese resources and stripping ratios. This is clearly demonstrated by the estimated gross profit estimation of R409 million for the geological resource model versus R264 million for the geoelectric resource model.The addition of resistivity data can, therefore, reduce exploration costs and can increase confidence in geological and financial modelling. It would be reasonable to conclude that this approach could also be used for karsthosted massive sulphide deposits. IntroductionAccording to Corathers (2014) and Gajigo, Mutambatsere. and Adjei (2011), South Africa holds between 75–80% of global manganese reserves, followed by Ukraine (10%), Australia (3%), India (3%), and Gabon (2%). The known, land-based, manganese resources located elsewhere are estimated at 2%.The majority of economically important sedimentary manganese ore deposits in South Africa are situated in the Northern Cape Province (Gutzmer, 1996). Manganese ores of the Postmasburg Manganese Field (PMF) were discovered in 1922, and the Kalahari Manganese Field (KMF) in 1940. According to Astrup and Tsikos (1998) and Gutzmer (1996), mining of manganese ore from the PMF ceased during 1989 in favour of the superior quality of manganese ore from the KMF."

Mar 1, 2019

By Renan da Silva Ramos, Caio da Silva Pontes, Leonardo Paraíba Cidrão, Alexandre Bestwina, Vilson Wenis dos Santos Belle, Gabriel Flintz Fraga Marques

A resposta a impacto balístico dos compósitos de alumina com polietileno de ultra alto peso molecular (PEAUPM) com diferentes concentrações relativas de alumina foi investigada. Os testes de impacto foram realizados em velocidade subsônica usando sistema de ar comprimido. As amostras de melhor desempenho foram as A00 e A90, sendo fraca a adesão interfacial entre a matriz de PEUAPM e as partículas de alumina. A profundidade de penetração (PP) em madeira MDF, protegido por um disco feito do compósito, diminuiu com o aumento da concentração de alumina no compósito.

Mar 1, 2019

By Dagoberto Brandão Santos, Dalila Chaves Sicupira, Graziele Gianini Braga Maria, Jéssica Caetano Fortes Monteiro, Raphael França Assumpção

O objetivo desse trabalho foi avaliar o efeito do tempo de recozimento na resistência à corrosão do aço inoxidável duplex UNS S32205 laminado a frio. Quando o aço duplex é submetido a deformações intensas, a austenita transforma-se parcialmente em martensita, elevando a resistência mecânica do aço. Já quando é feito o recozimento essa transformação é revertida, ou seja, a martensita se transforma em austenita. Porém, esses aços apresentam forte tendência à formação de fases secundárias quando expostos a determinadas temperaturas por certo intervalo de tempo, que levam à deterioração das propriedades mecânicas e corrosivas dos mesmos. O aço estudado foi submetido à laminação a frio até 60% de redução da espessura, e posteriormente recozido a 850°C, temperatura na qual a cinética de precipitação de fases é máxima, nos tempos de 300, 600, 1800 e 86400 segundos. Para a análise microestrutural foram utilizadas as técnicas de microscopia óptica, microscopia eletrônica de varredura e a difração de raios-X. A resistência à corrosão foi estudada por meio da técnica de impedância eletroquímica (EIE), utilizando solução de NaCl 3,5% à temperatura ambiente. O aumento do tempo de recozimento aumentou a precipitação das fases secundárias, o que leva ao aumento de regiões empobrecidas em Cr e Mo. Com o aumento do tempo de recozimento, essas regiões são parcialmente recuperadas pela difusão desses elementos, melhorando a resistência à corrosão.

Mar 1, 2019

By Willy Ank de Morais, Márcio de Morais Tavares, Mateus Araújo e Silva, Érika Elis Kuo, Cícero Lopes de Souza

Estruturas de aço são utilizadas em diversas aplicações na construção civil, com vantagens relativas a outros tipos de construções, tais como leveza e rapidez na execução da obra. Porém um dos maiores problemas neste tipo de sistema construtivo é a corrosão atmosférica a que estará sujeita o aço estrutural utilizado. Com o objetivo de se avaliar a resistência à corrosão atmosférica, neste trabalho, foram construídos painéis expositores, conforme a NBR 6209, para manter corpos de prova de aço estrutural comum e patinável, por um período inicial de setenta dias em dois locais distintos, categorizados com de agressividade ambiental I e III, respectivamente interior e litoral do estado de São Paulo. Superficialmente o processo de degradação foi nitidamente diferenciado, com o mesmo resultado sendo apontado pela alteração da massa das amostras, que se elevou durante a exposição ao ambiente de agressividade III, já que os produtos de corrosão formados não se desprenderam no curto período de tempo do teste. Mesmo considerado que a norma estipula um tempo mínimo de dois anos de duração para o ensaio, que ainda está em andamento, o presente estudo aponta a necessidade de adotar mecanismos de proteção contra a corrosão muito mais severos nas regiões litorâneas.

Mar 1, 2019

By Francisco Belmino Romero, Walney Silva Araújo, Vitória Lima de Souza, Edilberto Rocha Silveira, Adriana de Oliveira Sousa Leite

O uso de inibidores verdes na corrosão do aço carbono SAE J403 1020 configura-se como uma alternativa econômica e ambientalmente acessível, pois, em relação aos inibidores comerciais geralmente utilizados, são de fácil obtenção, já que são adquiridos a partir de vegetais, portanto, não oferecem risco ao meio ambiente. Assim, o presente trabalho tem como objetivo avaliar o uso das folhas de aroeira como inibidor de corrosão para o aço carbono SAE J403 1020, o qual é bastante utilizado na indústria e possui baixa resistência à corrosão. A escolha da aroeira se deu devido ao fato de a planta ter origem no Brasil e abundância no Nordeste do País, principalmente no Ceará. Para análise, foram utilizados como meio corrosivo: H2SO4 0,1 M, NaCl 3,5% e NaCl (ph = 4,0); as concentrações do inibidor foram: 50, 200, 500 e 1000 ppm. Em relação aos ensaios eletroquímicos, utilizou-se: Potencial de Circuito Aberto (OCP), Espectroscopia de Impedância Eletroquímica (EIE) e Curvas de Polarização Linear (CP). Dessa forma, por meio da análise das técnicas mencionadas, conseguiu-se obter o comportamento do inibidor em relação ao material e ao meio, bem como avaliar qual o melhor meio para a utilização da aroeira como inibidor verde de corrosão.

Mar 1, 2019

By Giovanna Lorena Carneiro Costa, Ana Paula Silva, Amarildo Ferreira, Vinícius Freitas Paixão

Uma maneira de detectar macro inclusões é através de testes ultrassônicos, embora a análise e a interpretação dos resultados dos testes sejam difíceis de entender. Com os resultados da inspeção, temos informações sobre a localização das macro inclusões e, portanto, sua distribuição ao longo do material. No entanto, estabelecer critérios para classificar o material quanto à sua pureza tem sido uma tarefa difícil. O presente trabalho visa estabelecer uma ferramenta de análise de dados a ser utilizada para controle de qualidade de materiais. Os resultados mostram uma viabilidade estatística e metalúrgica de aplicar este modelo analítico para avaliar o nível de pureza dos aços laminados a quente.

Mar 1, 2019

By Gilson Neves da Silva, Luciana Sgarbi Rossino, Adriel de Brito Maciel Trindade

O objetivo deste trabalho foi de analisar a influência da variação de manganês e cromo na resistência ao desgaste abrasivode aços austeníticos ao manganês aplicados em britadores de minério e verificar mecanismos de encruamento. Este material possui grande importânciatanto para o setor de mineração quantopara a economia do país. Para tanto, produziram-se ligascom teor de manganês (Mn) variando entre 12 e 21%, contendo cromo (Cr) entre 0,31 a 2,06 %. A resistência ao desgaste foi determinada através da realização de ensaios de micro-abrasão por esfera fixa. Para a análise dos mecanismos de encruamento, realizaram-se ensaios de impacto por martelamento seguido de metalografia ótica e perfil de dureza. Os resultados evidenciaram que o aço com percentual mais elevado de manganês com adição de cromo possui maior resistência ao desgaste abrasivo. Observou-se que o mecanismo atuante no encruamento dessas ligas é maclação de deformação, podendo elevar a dureza destes aços em valores quatro vezes maiores que sua dureza inicial. Conclui-se que o teor de Mn e Cr presente nesses aços influenciam na resistência ao desgaste abrasivo, sendo o Mn de maior influência.

Mar 1, 2019

By Cleiton Rodrigues de Vasconcelos, Elizeth Oliveira Alves, Kleber Gonçalves Bezerra Alves

Em virtude da periculosidade do Pó de aciaria (PAE), práticas alternativas, como a reinserção do resíduo no processo produtivo, ou sua incorporação em outros materiais fizeram com que a reciclagem tenha se tornado uma via para este subproduto. O presente trabalho tem como objetivo identificar as áreas de desenvolvimento tecnológico de utilização do PAE, avaliar a potencialidade de reaproveitamento e reciclagem do resíduo oriundo do processo de produção do aço carbono, comparando as características obtidas do PAE analisado com os requisitos indicados através da análise de patentes. O PAE produzido no estado de Pernambuco foi caracterizado pelas técnicas de Fluorescência de raios X (FRX), separação granulométrica via peneiramento, distribuição do tamanho de partículas, Difração de raios X (DRX), Microscopia eletrônica de varredura (MEV) e Espectroscopia por energia dispersiva (EDS). A prospecção tecnológica foi realizada nas bases de patentes europeia EPO e na base nacional de patentes nacional do INPI. As análises realizadas mostraram que o material apresentou aproximadamente 28,5% de suas partículas com granulometria inferior a 53μm, composto em sua maioria por ferro e zinco presentes na forma de óxidos, organizados nas fases franklinita, zincita e magnetita. A baixa granulometria e composição química possibilitam a sua aplicação no campo dos materiais cerâmicos, bem como sua reinserção no processo de fabricação. O resíduo estudado apresentou características similares com os demais resíduos observados nas patentes.

Mar 1, 2019

By José Samuel Silva Freitas, Bruno Luiz Sperandeo, Gerson da Silva Almeida, Marcel Teixeira Vicente, Lucas Vilaronga Ramos, Bruno Gonçalez Ribeiro, Ricardo de Oliveira Almeida, Stephanie Pedroza Rodrigues, Matheus Antônio de Oliveira Ferreira

O presente trabalho abrange o estudo de um sistema de transporte de matéria prima para a produção de superfosfato granulado, composto por uma sequência de três transportadores de correia convencional e um elevador de canecas. Os componentes destes equipamentos são retratados separadamente, em seguida explica-se o funcionamento do conjunto. São expostos os problemas no desempenho do equipamento e as causas identificadas. Por este motivo, analisa-se a viabilidade econômica da substituição do equipamento atual por um transportador de correia tubular, sistema mais avançado que também é detalhado através da descrição de seus componentes e funcionamento. A análise inicia-se com o dimensionamento dos dois tipos de equipamento de acordo com a planta disponível. Então se compara o cenário atual com o proposto, considerando o desperdício de produto, tempo e custo de paradas para manutenção e custo de implantação do novo equipamento.

Mar 1, 2019

By Armando Rivera, Ángel Cueva

El proyecto Mirador, ubicado en la provincia de Zamora Chinchipe en Ecuador, es un sistema mineralizado del estilo pórfido – cuprífero, tipo cobre – oro. Constituido por una zona superior de óxidos, adyacente a un área transicional de óxido –sulfuro dentro de una zona mineralizada con sulfuro hipógeno (calcopirita– pirita), tiene potencial para generar drenaje ácido de roca (DAR), lo que crea preocupación ambiental respecto de los recursos de agua superficial y subterránea. En este artículo se describen diferentes etapas de muestreos de los núcleos de perforación con variación en profundidades y litologías, el análisis de los factores que influyen en la transformación de residuos sulfurosos, y la realización de pruebas estáticas estándares y cinéticas.

Feb 28, 2019

By William Gleason

"While the American Exploration & Mining Association (AEMA) was preparing to close one chapter and begin another during its annual conference in Spokane, WA Dec. 3-7, word of a significant victory on an issue that has been important to the association for many years came from the halls of Washington, D.C.During a keynote address on Dec. 6, Joe Balash, assistant secretary of Land and Minerals Management for the U.S. Department of the Interior (DOI), told a sold-out lunch crowd that the DOI had released final drafts of proposed revisions to the Obama-era greater sage grouse conservation plans. The revisions suggest removing hundreds of thousands of acres of federally protected habitat in Utah, and easing restrictions on energy development and other activities, including mining, in Colorado, Idaho and Wyoming.The protections of the sage grouse were put in place by the Obama administration in 2015. The sage grouse, a prairie fowl, is considered by conservationists to be a key indicator species for the health of America’s sagebrush ecosystem. The previous plan to protect the ground-dwelling bird imposed restrictions to development in sage grouse habitat, but did not place the birds on the endangered species list — a move that many believed would have imposed far more rigid rules.AEMA, and its executive director Laura Skaer, led the way in the fight against the Obama-era greater sage grouse plan, arguing that the plan unnecessarily hurt economic development.“We were the first organization to point out that the greater sage grouse was being used to stop mining, oil and gas production and grazing on public lands in the interior mountain west,” said Skaer who is retiring from AEMA with a significant legal win on this front. “Early on, we cautioned that the proposed Land Use Plan Amendments would be worse than a listing (of the sage grouse) under the Endangered Species Act. Very few believed us until they saw the plans with all of the restrictions and the recommendation for a 4-million-ha (10-million-acre) withdrawal from mineral entry. We were the only organization that filed comments on all 88 Land Use Plan Amendments in 11 states covering more than 24.2 million ha (60 million acres).”"

Feb 1, 2019

"Investment in diamond exploration has been declining over the past decade, in spite of positive long-term industry fundamentals and a growing interest in diamonds as an investment category. The lack of new significant discoveries in recent years has eroded investor confidence, yet no new discoveries are possible without investment in exploration. Junior ‘mine finders’ have been the hardest hit. Their agility, tenacity, and appetite for risk are not sufficient to attract the funding required, even at the greenfield stage. Developing new discoveries into mineral resources can be crippling without solid financial support. Junior incubators could play a crucial role, especially at the project evaluation stage – but where are they? Alternatives to traditional funding mechanisms have become available, many still untested in the junior diamond exploration space. Valuable lessons can be drawn from the past and used to inform emerging new strategies. IntroductionDiamonds are the ultimate expression of love. Their ancient and timeless allure continues to influence consumer emotions and behaviours across continents, cultures and age groups. Analysts are predicting a sustained supplydemand shortfall in the years ahead which will trend diamond prices generally upwards. With positive long-term industry fundamentals, one cannot help but wonder why funding for diamond exploration and development projects is so scarce.Investment in exploration across commodities – including diamonds – has been declining for a number of years, reaching a historic eleven-year low early in 2017. The lack of major diamond discoveries in recent years has done little to strengthen the case for investing in diamond projects, yet no new discoveries can be made without investment in exploration.Global estimates of known carats in the ground stand currently at 2.5 billion carats, which equates to around 18 years of production at current levels of 140 million carats (mct) per annum. Sustainable replenishment of depleting diamond resources is possible only through the development of new discoveries. This is what junior explorers are best at – but they need investors to fund their evaluation activities from early in the project development continuum."

Feb 1, 2019

By S. Sinha, S. Ganguly

"In an opencast mine explosives are used for fragmentation of rock. Inefficient use of explosive energy in an opencast operation produces excessive ground vibration, which is measured by peak particle velocity (PPV). To mitigate ground vibration, it is essential to develop a model to predict PPV. At present empirical models are used. These models are based on only a few input variables, hence they fail to take into account the effects of the myriad factors that cause ground vibration. Due to lack of explicit knowledge about the complex mine blasting system the scope of application of mathematical and statistical modeling techniques is limited. The artificial neural network (ANN) technique is a learning algorithm that can remove some of these limitations and can be applied to predict PPV. In this paper an ANN model is developed for prediction of blast vibration using 248 data records collected from three coal mines with diverse geomining conditions. The correlation coefficient between measured PPV and model output was found to be 0.96 and the average error percentage 11.85. The ANN model output was compared with the output of three empirical models that are widely used for prediction of PPV. The correlation coefficient between the PPV predicted by an empirical model and measured PPV data was 0.63 and the relative error percentage 38.47. This result demonstrates the superiority of the ANN model compared to empirical blast models. By using site-specific structural discontinuities as input the model performance can be further improved. Sensitivity analysis and 3D plotting were used to gain further knowledge about blast-induced ground vibration. IntroductionIn an opencast coal mine explosives are used for fragmentation of coal and overburden. If the explosive energy is not fully utilized it causes blast-induced ground vibration, which may damage nearby structures. Ground vibration is expressed as peak particle velocity (PPV). During different stages of mine planning and operation, it is necessary to use a ground vibration prediction model for blasthole design. Selection of the modelling technique is crucial. Mathematical and statistical modelling techniques have limited application because of the lack of explicit knowledge about the complex mine blasting system. Vogiatzi (2002) highlighted the problem of multicollinearity in case of statistical modeling techniques. Mutalib et al. (2013) stated that mathematical models are unable to capture the nonlinear relationship between several blasting-related parameters due to the complexity of the model input data. However, the difficulty involved in modelling complex blast vibration problems can be removed by adopting an alternative soft computing modelling approach. One of the soft computing techniques is the artificial neural network (ANN). Ragam and Nimaje (2018) developed an ANN model for predicting PPV using six input variables. Kosti et al. (2013) stated that the conventional predictors fail to provide acceptable prediction accuracy. They showed that a neural network model with four mine blast parameters as input could make significantly more accurate on-site predictions. Sayadi et al., (2013), using a database from Teheran Cement Company limestone mines, found that a neural network resulted in maximum accuracy and minimum error. Khandelwal and Singh (2009) developed an ANN model using 150 data records from an Indian coal mine with site-specific rock characteristics and geomining setting. Khandewal and Singh (2007) built a ground vibration prediction model for a magnesite mine using four prediction variables with 20 data records. Kamali and Ataei (2010) predicted PPV in the structure of the Karoun III power plant and dam using an ANN. El Hafiz et al. (2010) evaluated ground vibration predictors using data from a single-station seismograph at a limestone quarry in Egypt."

Feb 1, 2019

By D. Paktunc, S. P. du Preez, J. P. Beukes, P. G. van Zyl, A. Jordaan

"The chromium (Cr) content of stainless steel originates from recycled scrap and/or ferrochrome (FeCr), which is produced mainly by the carbothermic reduction of chromite ore. The oxidative sintered pellet production process is one of the most widely applied FeCr processes. The supplier of this technology specifies that recycling of chromite-containing dust collected from the pellet sintering off-gas and fines screened out from the sintered pellets (collectively referred to as pre-oxidized chromite fines) should be limited to a maximum of 4 wt% of the total pellet composition. However, the results presented in this paper suggest that recycling of such fines up to a limit of 32 wt% of the total pellet composition may improve the compressive and abrasion strengths of the cured pellet. In addition, electron microprobe and quantitative X-ray diffraction (XRD) analyses demonstrate that chromite grains present in the pre-oxidized chromite fines consist, at least partially, of crystalline phases/compounds that will improve the metallurgical efficiency and specific electricity consumption (i.e. MWh/ton FeCr produced) of the smelting process. Introduction Stainless steel is a vital modern-day alloy that is well-known for its corrosion resistance, which is mainly due to the inclusion of chromium (Cr) (ICDA, 2013). Stainless steel is mostly produced from recycled scrap and ferrochrome (FeCr), a relatively crude alloy of Cr and iron (Fe). FeCr is predominantly produced by the carbothermic reduction of chromite, a mineral belonging to the spinel group characterized by the unit formula [(Mg,Fe2+)(Al,Cr,Fe3+)2O4] (Haggerty, 1991; Paktunc and Cabri, 1995; Tathavakar, Antony, and Jha, 2005). Although Cr can occur in 82 different minerals, chromite is the only source of new Cr units that can be exploited in commercial volumes (Motzer and Engineers, 2004). Approximately 95% of mined chromite is used in the production of various FeCr grades, of which high-carbon and charge grade FeCr are the most common (ICDA, 2013)."

Feb 1, 2019