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By David L. Anderson

"The objective of this paper is to describe the potential impact of inter-provincial competition f or new output capacity on the Canadian potash industry. It will be shown that the ramifications of such actions are potentially severe, especially since the potash industry is one of the few non-fuel minerals in which Canada purportedly possesses a significant degree of market power. More specifically, the paper addresses the impact of possible expansions in New Brunswick, Manitoba and, perhaps, Saskatchewan. The findings suggest that such initiatives could result in substantial excess capacity and the dissipation of monopoly rents. In summary, given the market structure of the industry, it is unlikely that the employment and economic effects associated with industry expansion will offset the loss in national welfare attributable to rent dissipation.IntroductionThe objective of this paper is to discuss the potential impact of inter-provincial competition for new output capacity on the Canadian potash industry. The ramifications of such competition are potentially severe: given that the potash industry is one of the few non-fuel minerals in which we purportedly possess a significant degree of market power(1), it is important that sound supply management practices are followed. However, possible initiatives by New Brunswick, Manitoba and, perhaps, Saskatchewan may initiate an inter-provincial competition which could result in substantial excess capacity and the dissipation of economic rents(2). Given the market structure of the industry, it is not intuitively obvious that the employment and economic effects associated with industry expansion will offset the loss in national welfare attributable to rent dissipation."

Jan 1, 1985

By G. Plascencia, A. Warczok, M. Zamalloa, T. Utigard, N. Behnood

The objective of this investigation was to investigate interactions between high-grade copper mattes and Rexal 60DB direct bonded basic bricks. The infiltration and attack of Rexal 60DB bricks by copper matte and continuous converter matte was investigated in laboratory tests at temperatures up to 1300 °C. The brick dissolution and infiltration tests did not show any significant difference between the 70% Cu and the 81% Cu mattes. More metallic copper was visible in the pores in the case of 81% Cu matte. An important mechanism for direct-bonded magnesia-chrome brick destruction is that oxysulphides start to infiltrate the brick, followed by slow oxidation of the matte producing metallic copper and cuprous oxide, which then react with MgO and Cr2O3, primarily attacking the direct bonds of the brick.

Jan 1, 2004

By M. W. Grabinsky, J. H. Curran

"Characterizing the spatial distribution of rock stresses is a challenge, especially in the geologically complex environments typically found at most metalliferous mines. Therefore, instead of focusing, specifically, on the task of making stress measurements, the engineer should instead attempt to develop a better understanding of the interaction between stress, mining geometry and rock mass behaviour. This paper demonstrates such an approach using a Canadian Shield hardrock mine case study, in which geomechanical models are used to relate stress, mining geometry, and rock mass properties to observed excavation response, and numerical modelling is used to better quantify this interaction.IntroductionUnderstanding how the mine geometry, field stresses and rock mass interact to produce the observed rock mass response to mining can be a significant challenge. Consider our present ability to quantify the basic geomechanical design input data. Mine geometry is normally quantified in more detail than is required for analysis purposes. Our understanding of rock mass strength and stiffness is far from complete, but established procedures do exist to obtain estimates of these parameters based on index and laboratory testing data and field mapping. Our ability to quantify field stresses is probably the most limited, in part because stress measurements are difficult and expensive to carry out, and in part because the stresses vary to an unknown degree from point to point within the rock mass. The engineer must, therefore, consider whether or not stress measurements are justified and, when they are, where the average stress state needs to be quantified and how many of which type of measurements will be required to determine the average stresses.Such was the case at Ansil mine, a massive sulphide deposit in hard rock located at a depth of more than one kilometre in the northern Québec portion of the Canadian Shield. The Ansil orebody was relatively rich, but small, with the potential for significant stress-related problems. As a result, geomechanical design had to be done carefully from the start – there would be little opportunity to modify the mining strategy once production had begun, and the economic consequences of stope dilution and rock mass instability would be severe. An extensive stress measurement campaign was carried out, but the determined stress magnitudes were unexpectedly low. The designers were, therefore, faced with a dilemma:"

Jan 1, 1997

By Yujing Jiang, Xuezhen Wu, Bo Li, Tomomi Iura, Gang Wang

"Yielding bolt has been widely used for rock reinforcement in mining and civil engineering in high stress conditions. However, the interaction mechanism of yielding bolt and matrix mass is still not clear at present, and no analytical model is available to predict its reinforcement effect quantitatively. In this paper, the mainstream yielding rock bolts were reviewed firstly. After that, a coupling model is proposed to account for the interaction between yielding bolt and matrix mass. Based on the plane strain axial symmetry assumption and the incremental theory of plasticity, equilibrium equations and compatibility equations of matrix mass, and also the response of yielding rock bolt are deduced theoretically. The proposed method was programmed in Visual Basic development environment, and a semi-analytical solution for the coupling model is achieved. The reinforcement mechanism of yielding bolt in conventional tunnelling is clearly demonstrated through an illustrative case study. The reinforcement effect of yielding bolt is estimated quantitatively, and the distribution of axial force along the bolt is presented. In addition, the validity of proposed method is verified by numerical simulations. INTRODUCTIONHigh stress in surrounding rock mass can cause serious stability problems such as massive squeezing in soft rock and rock burst in hard rock. It is observed that many conventional rock bolts failed when experiencing large displacement, which implies that they are too stiff to sustain large deformation and dynamic conditions (Stillborg, 1994; Hoek et al., 1995). Yielding bolt, which can also be called energy-absorbing bolt, has been widely used for rock reinforcement in mining and civil engineering for these conditions (Neugebauer, E., 2008). This paper focuses on the static reinforcement effects of the yielding bolts with analytical method and numerical simulations."

Jan 1, 2015

By Jeffrey D. Smith, William G. Fahrenholtz, Jose M. Soto

Interactions between A356 aluminum (Al-Si alloy) and dense fused silica (FS) riser tubes used for low-pressure casting of aluminum alloys were evaluated using a sessile drop approach. The tubes have a short service life, but cost and thermal shock resistance make them an effective solution. The main problem encountered during use is the reaction of aluminum with silica to form alumina and silicon, which causes failure. Tests have been conducted on as-fired (uncoated) and modified (coated) tubes. Experiments were carried out in a horizontal furnace at 1225°C under argon to minimize the effect of the aluminum oxide on the interactions at the alloy-silica interface. Images of the drop were acquired and contact angle values were estimated for uncoated and coated samples, but no significant differences in the contact angles were observed. Scanning electron microscopy revealed the presence of cracks at the interface between the reaction zone and the unreacted silica. The presence of reaction products (silicon in the reacting alloy and aluminum in a reaction zone between the alloy and the unaffected silica) has been confirmed using energy dispersive spectroscopy. A two layer coating system was found to be effective in reducing penetration of the aluminum alloy.

Jan 1, 2004

By B. T. Lu, J. L. Luo, T. Yu, C. W. Chen

In this paper, the synergism in erosion-corrosion process occurring in oil sand wastewater transportation caused by the interaction of mechanical and electrochemical factors was experimentally investigated. The erosion-corrosion tests were conducted with A1045 steel in synthetic slurries comprising tap water and silica sand. The material loss due to corrosion-enhanced erosion was assessed with the chemo-mechanical model developed by the authors recently. The results indicate that the material loss produced by corrosion-enhanced erosion at the open circuit potential can be formulated as a linear function of logarithm of corrosion current density. The wastage caused by the erosion-enhanced corrosion was analyzed based on the concept of non-equilibrium thermodynamics. The material loss induced by the erosion-enhanced corrosion is approximately a linear function of overall erosion rate measured in synthetic slurries, indicating that erosion-enhanced corrosion could be reduced by adopting surface strengthening techniques to improve the resistance to the plastic deformation in surface layer.

Jan 1, 2004

By A. Innus, R. Pelletier, C. Allaire

Refractory used for molten aluminium confinement is typically assessed separately for thermo-physical properties and molten aluminium resistance. This present work provides a case study comparison of four commercial refractory products that were subjected to a test procedure that combines mechanical impact, thermal shock with molten aluminium contact. The main conclusion of this work is that physical and mechanical property values by themselves do not, and cannot, predict the response of refractory to potential interactions between molten aluminium contact and thermal shock and mechanical impact. Adequate physical simulation is imperative to quantify the effect of such interactions.

Jan 1, 2004

By J. A. Muñoz

In this work, short and long-term tests were performed using different massive mineral sulfide specimens (chalcopyrite, pyrite, sphalerite, galena, covellite and chalcocite) of museum grade and quartz of analytical grade in an acid medium containing silver ions. After attack, the samples were observed by SEM and products characterized by EDS. Parallel, massive specimens of pyrite (FeS2) and chalcopyrite (CuFeS2) were embedded in an epoxy resin, either electrically isolated or in electrical contact, and treated with silver ions in the presence of bacteria. Finally, massive chalcopyrite and pyrite electrodes were subjected to electrochemical measurements in an acid medium under different experimental conditions (addition of silver ions and inoculation). The results showed that silver deposition takes place preferentially on specific mineral surfaces: chalcopyrite, galena, covellite and chalcocite. The chemical reaction of silver ions with pyrite and sphalerite was negligible at low silver concentration (8 ppm). But sphalerite reacted with silver ions at higher silver concentration (100 ppm). In a mixture of chalcopyrite and pyrite, silver was deposited on the former surface creating new cathodic sites which sped up the electrochemical reactions of chalcopyrite dissolution.

Jan 1, 2007

By Claude Bazin, Patricia Obiang

"The slurry density (pulp percentage of solids) and the size of the grinding media are often used for the optimization of an operating ball mill. In many cases a change of ball size is made at the slurry density used with the original ball size. But is the optimum slurry density changing with grinding media size? Laboratory grinding tests were conducted to answer that question and results indicate that more than likely there is no need to adjust mill slurry density when adjusting the size of a grinding media in a ball mill. Full scale behaviour could be different because slurry density affects the slurry transportation through the mill and the classifier operation.INTRODUCTIONOre preparation begins with a fragmentation step that liberates valuable minerals or exposes mineral surface to the environment. The size reduction step of a mineral processing operation is energy demanding and the optimisation of this process should always be an objective for the plant metallurgists. Various approaches could be considered for improving the operation of a grinding circuit. For a close grinding circuit an adequate tuning of the classifiers operation may lead to substantial savings (McIvor, 1988). Once a grinding mill is in operation, few variables remain to be considered for process optimization. The ball charge is usually maintained to achieve a target power drawn by the grinding mill motor. The rotation speed is seldom considered (McIvor, 1983; Bazin and Lavoie, 2000) as a change of mill speed usually implies a costly pinion change. If the liner and lifter configuration is critical for SAG and AG mills (Latchireddi et al., 2005), few discussions are available for ball mills (Fuerstenau and Abouzeid, 1985; McIvor, 1983). The mill feed size distribution can also be adjusted but this implies changing the upstream processes, which transposes the optimization process to another level. Modification to grinding media shape is a possible avenue (Cooper et al., 1994), but it remains that slurry density and grinding media size are probably the most frequently considered variables for the optimization of a ball mill."

Jan 1, 2007

By M. I. Kalashnikova, Y. M. Shneerson, M. V. Keskinova

Interaction between mattes having various compositions and solutions with a wide range of free acid and non-ferrous metals concentration have been studied in terms of chemistry, mechanism and kinetics. The solution acidity and oxidizers to reducers ratio in the matte-solution-gas phase system have been demonstrated to be the major factors determining the process behaviour. It was found that the types of copper and nickel secondary sulphides resulted from nonferrous metals precipitation from solution, depend on of the solution and initial matte composition. Based on these studies, technologies of matte leaching and nonferrous metal precipitation in the form of rich sulphide concentrates are developed.

Jan 1, 2004

By A. J. Rigby

Computer generated, actual-scale furnace models have been imported into a rendering software application to provide for impressively realistic surface features and lighting. When these models are imported into a 3D engine framework, it is possible to create content-rich virtual environments allowing for complete interactivity and could provide for a powerful tool to conceptualize refractory lining designs. This technology has been applied to illustrate the optimized design concept of an anode-refining vessel, which can be expected to be completely relined in six days and to last for 4-5 years with minimal partial relining. This technology could easily be applied to other smelter furnace, converter and refining vessel designs.

Jan 1, 2007

By A. W. Chan

"An interactive computer simulation model of conveyor systems used in oil sands mining has been developed to aid in the selection of mining equipment and the evaluation of operating policies. The materials handling links between supply points, such as bucket-wheel excavators and draglines, and demand points such as bins and extraction plants are modelled in such a way that the conveyor model can be interfaced with any combination of these equipment submodels. Detailed calculations of the power demand of each conveyor section based on operating characteristics and conveyor design parameters are included to permit the close monitoring of energy requirements. Various interactive features are incorporated so that an operator can not only monitor, but also control, the mining operations in the model and experiment with different operating strategies.IntroductionThe interactive simulation model of conveyor systems described in this paper is one of a number of detailed computer models being jointly developed by the National Research Council and Canstar Oil Sands Ltd. on the mining equipment and operations used in oil sands mining. Reference I presents an overview of this whole series of models, their interrelationships and the underlying motivation for their development.A network of conveyors constitutes one of the practical ways for transporting mined material in an oil sands plant. The materials handling links between supply points, such as bucket-wheel excavators, bucket-wheel reclaimers and bins, and demand points such as dumps, bins and extraction plants can be represented by a series of interconnected conveyor sections. For example, the fluctuations of the feed rate at the bucket-wheel excavator, the flow of ore material through the conveyor network and the arrival of this material at the extraction plant can be simulated."

Jan 1, 1982

By P. W. Udo Graefe

"An interactive computer model of a dragline, windrow and spoil pile has been developed for modelling oil sands mining operations. The model is to be used in conj unction with models of other oil sands mining equipment, such as bucket-wheel excavators and reclaimers, conveyors, hoppers, bins, trucks and shovels, to study mining operations on a minute-by-minute basis. From the orebody description and mining selectivity, layers of ore and reject are determined and mined by the dragline. Reject is dumped on the pit floor; ore is either dumped on a windrow for later removal by a bucket-wheel reclaimer or directly dumped into a hopper feeding a conveyor. The model allows for the presence of pads as a dragline base, key cuts and a number of interruptions to the mining operation such as shift changes, boom checks, engineering services, repairs, delays, preventative maintenance, etc. A CRT display keeps the model operator informed about equipment status and performance. The model operator can direct the course of the simulation by issuing commands to the model at any time during the simulation.IntroductionThis paper describes an interactive computer model of a dragline, windrow and spoil pile. The model was designed by the author based on information and specifications provided by Canstar Oil Sands Ltd. The model design was implemented and tested on Petro-Canda's IBM computer system by DMR and Associates Ltd. of Calgary, Alberta.The model was designed to form three components of an oil sands mining operations model, described in reference I. Figure 1 shows the interaction of those components with the remainder of the oil sands mining model.An ""Ore/Waste Body"" data base provides information to the dragline model about the location and composition of or e and waste in the mine. The dragline model is used to simulate mining this ore/waste body, to build up spoil piles for center reject (waste) and to dump ore onto windrows or hoppers (situated over conveyors) to deliver the ore to the extraction plant. The windrow model component provides a data base which will be used by a model of a bucket-wheel reclaimer which simulates the loading of ore from the windrow on to a conveyor via a bridge."

Jan 1, 1982

By L. K. Nenonen

"Given the properties, locations and quantities of material to be hauled and the dump locations and capacities, the designer wishes to select the type and number of trucks and loading equipment required. Accordingly, software is being developed to assist in creation of the equipment, material and road network data bases, in selection of equipment, materials and road networks from these data bases, and in evaluation of the expected productivities both in a rapid, non-interactive, approximate fashion and a more detailed interactive fashion which permits the user to act as superintendent, if he so chooses. The basic technology has been developed and applied to an open-pit copper mine and is being refined and generalized for oil sands and coal mining applications.BackgroundA set of mathematical and interactive computer models are under development to aid in the selection of equipment and operating policies for an open-pit oil sands mine being planned by Canstar Oil Sands Ltd. This paper describes the computer models being developed of truck haulage systems. Although the interactive truck haulage model is based primarily on a model developed by the National Research Council in collaboration with Glenayre Electronics Ltd. of North Vancouver and Lornex Mines Limited(2).(3l, substantial changes and improvements are being incorporated to greatly increase its generality re equipment types, road network characteristics, dispatching and supervisory policies, etc. Although this paper is principally devoted to the truck haulage model, discussion is included concerning its interactions with other models."

Jan 1, 1982

By A. Vervoort, A. Govaerts

Geostatistical concepts are often difficult for students to understand, even those with a strong mathematical background. One of the main problems is the link between the variation of the parameter value in space or time and the calculated experimental semivariogram. Another challenge is differentiating between directional and omnidirectional semivariograms and their interpretation. For these reasons, interactive tools were developed based on the free public domain software R. The use of these interactive tools is limited to educational situations only (i.e., to visualize basic concepts). The interactive modules can be accessed at www.bwk.kuleuven.be/geostatistics.

Jan 1, 2014

By A. Vervoort

The concepts of geostatistics are commonly difficult to understand for students, even for those with a strong mathematical background. A main problem is certainly the link between the variation of the parameter value in space or time, and the calculated experimental semivariogram as a function of the interdistance, but over the entire area. Another problem is to differentiate between directional and omnidirectional semivariograms and the way they have to be interpreted. Furthermore first time users of geostatistics often do not want to struggle through different books with the whole geostatistical background before using it. Too often this leads to using geostatistics as a black box with all the risks linked to it. That is the main reason that we developed some interactive tools based on the free public domain software R. We aim by developing three different modules to assist individual first time users, but also regular students and teachers to get a feeling of the importance of the various aspects in conducting a good geostatistical study. The modules show directly e.g. the impact of deleting, moving or adding data points, of changing parameters of the semivariogram model and of the geometrical parameters during kriging. The first module allows making the link between the variation of the parameter values in one direction and the calculated experimental semivariogram, and this for different given datasets. The second module covers two dimensional datasets and apart from calculating the semivariogram values, models can be fitted to the calculated data. A distinction can be made between omni-directional and directional semivariograms, including the effect of the tolerance on the angle and lag-distance. The third module focuses on ordinary kriging of point values in two dimensions. The aim of the interactive tools developed is limited to educational purposes only, i.e. to visualize some basic concepts for different pre-selected types of spatial variation. They do not intend to do a geostatistical study on a certain dataset (for this purpose there exists already a broad spectrum of good software packages). The original intention of developing the three modules was aimed at users with no or a limited amount of geostatistical experience. However, these modules seem also very useful to remain critical for experienced users. One should never forget that in a real application one does not have a complete view of the phenomenon studied. The geostatistical interactive modules can be accessed through: www.bwk.kuleuven.be/geostatistics . We compiled a manual to facilitate the use of the modules and to guide the user we formulated several questions to be solved for each module.

Aug 1, 2013

By Seher Ata

"Virtual reality, a three-dimensional computer generated environment, has become recognized delivery system for many forms of education. This article describes the application of virtual reality to mineral processing education. An interactive mineral processing visualisation module has been developed at University of New South Wales (UNSW), Australia. The module provides students with an overview of a base metal concentrator, details about each stage of the process, as well as revealing how the mined ore progresses from stage to stage. The module also involves developing a number of instructional based plant layouts and flowsheets in the virtual environment that are intended to assist the user in understanding the essential components of the base metal concentrator.INTRODUCTIONVirtual Reality (VR) is the creation of an artificial environment that is experienced through sights and sounds provided by a computer (Squelch, 2001). The simulated environment is achieved through a host of technologies such as three-dimensional graphics, audio feedback and special peripheral devices to produce interactive environments.VR has been used in diverse fields including medicine (Riener & Harders, 2012), entertainment (Hsu, 2011), military (Manojlovich, Prasithsangaree, Hughes, Chen, & Lewis, 2003), manufacturing (Zimmermann, 2008; Jiang, 2011), and chemical processing (Schofield, Lester, & Wilson 2005; Squires, Andersen, Reklaitis, Jayakumar, & Carmichael, 2014). VR is also becoming recognized delivery system for many forms of education, including engineering education (Bell & Fogler, 1996; Bell & Scott, 1998; Shin, 2002). For example, virtual laboratories have been designed and developed to teach students fundemental features of the heterogeneous catalytic mechanisms and absorption columns (Bell & Fogler, 1995), the multi-phase and multi-component blast furnace iron making process (Babich & Senk, 2009) and to guide students to identify various safety measures while working in real laboratory (Bell & Fogler, 1996)."

Jan 1, 2016

"Virtual reality, a 3D computer-generated environment, has become a recognized delivery system for many forms of education. This paper describes the application of virtual reality to mineral processing education. An interactive mineral processing visualization module developed at the University of New South Wales, Australia, provides users with an overview of a base-metal concentrator and details about how the mined ore progresses through stages in processing. The module also involves developing instructional based plant layouts and flowsheets in the virtual environment. These assist the user in understanding the essential components of the base-metal concentrator.RÉSUMÉ La réalité virtuelle (RV), un environnement en 3D généré par ordinateur, est devenue un système de prestation reconnu pour diverses formes d’éducation. Cet article décrit l’application de la réalité virtuelle à l’éducation dans le domaine de la minéralurgie. Un module interactif de visualisation du traitement des minerais développé par l’université de Nouvelle-Galles du Sud, en Australie, offre aux utilisateurs une vision d’ensemble d’un concentrateur de métaux communs ainsi que des détails concernant la progression du minerai extrait à travers les différentes étapes de traitement. Ce module implique également le développement de schémas de réalisation et de traitement didactiques dans l’environnement virtuel, lesquels schémas aident les utilisateurs à appréhender les composantes essentielles d’un concentrateur de métaux communsINTRODUCTIONVirtual reality (VR) is the creation of an artificial environment that is experienced through sights and sounds provided by a computer (Squelch, 2001). The simulated environment is achieved through technologies such as 3D graphics, audio feedback, and special peripheral devices to produce interactive environments.Virtual reality has been used in diverse fields including medicine (Riener & Harder, 2012), entertainment (Hsu, 2011), military (Manojlovich, Prasithsangaree, Hughes, Chen, & Lewis, 2003), manufacturing (Zimmermann, 2008; Jiang, 2011), and chemical processing (Squires, Andersen, Reklaitis, Jayakumar, & Carmichael, 1992; Schofield, Lester, & Wilson, 2005). Virtual reality is also becoming the recognized delivery system for education in many fields, including engineering (Bell & Fogler, 1996, 1998; Shin, 2002). For example, VR laboratories have been designed and developed to teach users fundamental features of heterogeneous catalytic mechanisms and absorption columns (Bell & Fogler, 1995), the multi-phase and multi-component blast furnace iron-making process (Babich & Senk, 2009), and to guide users to identify various safety measures while working in a real laboratory (Bell & Fogler, 1996)."

Jan 1, 2017

By M. F. Vancas

Control of the interface elevation between the aqueous and the organic phases in typical settlers is a fairly straight forward principle. However, when looking at the details involved in actually designing the aqueous and organic discharge launders and weirs, one comes to realize just how sensitive the system is to small variations in operating conditions and/or parameters. This discussion focuses on the details that must be considered during design, looks at the various types of control systems typically used (from the basic manual systems through to full automation), and equally importantly, looks at what happens in an operating plant when the conditions and/or operating parameters change.

Jan 1, 2007

By R. Simonson

Agenda ? Need and Introduction ? Interface Management Programs ? Outcomes of Successful Interface Management ? Key Success Factors ? Lessons Learned ? Concluding Remarks Need for Interface Management ? Complex projects ? Larger in scale ? Physically dispersed and delivered remotely ? Involved with several stakeholders ? Risks thus imposed due to: ? Iterative and dynamic nature ? Large information flow ? Document revisions and information updates ? Related sources of Risk: ? Ineffective communication ? Poor work relationships ? Person to job mismatches ? Failure to clarify expectations

Aug 1, 2013