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By S Brochot

During the development of a mining project, samples are taken for metallurgical tests. The sample can be a composite sample made of material coming from a selection of various drilling products or a sample coming from a mining test. This sample can represent several tonnes of material which are analysed and split to be used in various tests.In the current case, a composite sample is dedicated to semi-autogenous grinding (SAG) pilot plant tests. The property of interest is then the size distribution of the material. The sample is mixed and a subsample is taken to measure the size distribution which is considered as the feed size distribution. Then the remaining material of the sample is divided in several subsamples for batch grinding tests at different operating conditions. The product of each grinding test is then analysed to measure its size distribution.The grinding performances are analysed at the light of the measured size distributions for feed and product. But what is the accuracy of the measurement of these size distributions? What is the variability of the feed knowing each feed is just a subsample of the initial sample?The Pierre Gy theory of sampling answers these questions.The current paper presents, through a real example, the calculation of the measurement error of the size distributions and the variability of the feed between the different tests. The uncertainties of the grinding performances are then calculated and their impact on the results interpretation is then analysed.CITATION:Brochot, S, 2012. Sampling for grinding pilot plant test - the effect of size distribution variability, in Proceedings Sampling 2012 , pp 127-134 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Aug 21, 2012

By B L. Dickson, E, M F. Lee, P A. Mikula

Computational techniques are needed to assist in the analysis and interpretation of the increasing amounts of geoscientific and mining related data and information that are routinely gathered at mine sites. New interpretation methods are needed to provide an integrated approach so as to establish relationships (cause and effect) or to be predictive about possible outcomes based on acquired data. Traditional multivariate statistical methods are often confused by variable relationships that are non-linear, data distributions that are non-normal, and by the data themselves that may contain missing values, text and both continuous and discontinuous numeric values. Modern data mining methods are available to understand the relationships within and between diverse data sets, and identify relationships or trends associated with processes, measurements and mine design parameters in mines. The self-organizing map (SOM) is a data mining approach with the advantage that all input data samples are represented as vectors in a data-space defined by the observations (variables). The SOM procedure is an exploratory analysis tool that highlights patterns and relationships. Results are internally derived, in an unsupervised fashion based on measures of vector similarity. Our SOM outputs are highly visual, which assists in understanding and illustrating the dataÆs structure and internal relationships. Two studies are presented. The first uses SOM to investigate the relationships between a range of measured and derived rock property parameters and their observed behaviours during mining. Our aim was to determine whether a SOM analysis would allow a better understanding of observed and predicted rock behaviours from their rock properties. The SOM analysis showed that there were indeed relationships between æbrittleÆ, æsugaryÆ, æslabbyÆ and æsqueezingÆ rock behaviours and a number of the input parameters. The computed SOM æstructureÆ was then used to assess the likely behaviour of unknown samples by assigning them into behavioural fields based on their measured and derived geotechnical responses. The second study was aimed at assessing whether a SOM analysis of microseismic data at the Kalgoorlie Consolidated Gold MineÆs (KCGM) Mt Charlotte mine can contribute towards understanding and potentially forecasting/minimising seismicity at the mine-design stage. The database comprised 40 sample æclustersÆ of microseismic parameters from the MS-RAP software package, which were derived from 2500 individual seismic events. The SOM analysis showed that some of the initial mining conditions are related to the seismic parameters. In each of the studies, the SOM procedures assisted in understanding the data and provided new insights. Because of its æordered vector quantisationÆ foundation, the SOM procedure is a substantial improvement over traditional statistical methods in three main areas:its ability to analyse data from disparate sources, including different data types; its ability to analyse sparse data sets with missing values; and its ability to analyse and visualise non-linear relationships within a data set.

Jan 1, 2006

By Alberto Terrones

"La demanda de metales y agotamiento de las reservas conocidas en el mundo, genera un incremento en las actividades de exploración minera orientadas a descubrir nuevas fuentes de producción mineral, ya sea en áreas vírgenes o en zonas o distritos mineros ya conocidos. En ese sentido, el descubrimiento de minas, ya sean grandes o medianas, se va restringiendo cada vez más al estudio cuidadoso de zonas mineralizadas,con expresiones superficiales poco impresionantes. Por ello, el presente artículo señala la aplicación de métodos de exploración minera en el Perú. El proceso comprende 6 fases: En la primera se debe encontrar las provincias metalogenéticas que suponen la existencia de yacimientos importantes a gran profundidad. La segunda fase determina la naturaleza, posición, orientación, longitud y costo de los trabajos de exploración primaria, tales como socavones, sondajes diamantinos, trincheras, etc., encaminados a probar la existencia de mineralización comercial en profundidad. La tercera fase concreta la posición, dimensiones y profundidad del objetivo, reduciendo a un mínimo el costo total de los trabajos de exploración primaria requeridos para probar la existencia o no existencia de un yacimiento comercial. La cuarta responde a la vigilancia y atención del geológo. La quinta fase comprende e inicio de una vida operativa."

Oct 1, 1955

By Etienne Roy Grégoire

Since the early 1990s, the Canadian mining industry has been increasingly defined by the signing of Impact and Benefit Agreements (IBAs) between mining companies and Aboriginal peoples. While these agreements are intended to complement the legal system, they also serve to establish the legitimacy of mining projects and to encourage the harmonious integration of these projects into their social and environmental contexts. Beyond their practical implications, what are the effects of such agreements on the ability of Aboriginal communities to access the institutional space where the authorization of mining projects and the conditions of their implementation are decided? Can we view IBAs as a preliminary step towards the operationalization of the principle of Free, Prior and Informed Consent? This paper aims to explore the potential of IBAs as a sustainable solution to the legitimacy issues that result from the implementation of the formal regulatory framework governing mining activities in this jurisdiction. We highlight what constraints and opportunities the James Bay and Northern Quebec Agreement (JBNQA) engenders for local communities and draw attention to the ways in which the negotiation of the Raglan IBA and the environmental evaluation processes act upon each other. We find that certain structural problems - and problems of legitimacy ? related to mining in Northern Quebec cannot be solved by the sole signature of an IBA, which suggests the need for caution when considering such agreements as a panacea. The Raglan case demonstrates that IBAs, like other modes of regulation relying on the direct interface between companies and communities, would benefit from a stricter framework and more explicit ties with official regulation channels.

Aug 1, 2013

A new analytical approach for characterizing and improving the performance of ball milling is presented. Individual ball mill circuit design and operating variables can be related to overall circuit performance through two distinct parameters for classification and breakage. The ball mill circuit functional performance equation is presented. Applications in the industrial plant and in the research field are discussed.

Jan 1, 1990

By P. R. La Pointe, J. Clark

"Studies have shown that the roof in coal mines is nearly twice as likely to fail at intersections as at entries due to enlarged roof spans, stress redistribution and other factors. However, the relative stability of intersections in a mine varies, and an improved understanding of what factors impact roof instability can lead to efficient, proactive mining practices that both enhance stability and mining efficiency.A study was undertaken at an underground longwall coal mine to develop a model to predict the stability at the intersections of entries and cross-cuts. The statistical analyses relied upon observational and measured data regarding the development of tension cracks, seepage, intersection geometry, mining practices, geological attributes and geomechanical factors at 783 intersections. Each intersection was given a NIOSH roof. Common data mining techniques, such as multivariate linear regression, multinomial logistic regression, decision trees and probabilistic neural nets, were considered and evaluated to establish correlations and associations between stability and the other variables. Two of the more successful techniques were Decision Trees and Multinomial Logistic Regression. The analyses showed that a number of factors impacted stability:• Overburden thickness (impact on stress concentration magnitudes)• Initial opening area (impact on stress concentration magnitudes)• Sulfur content (depositional environment & impact of mechanical properties, leaching effects)• Intersection type (impact on stress concentrations)• Gob distance (impact on stress concentrations)• Presence or proximity of a particular sandstone (impact on mechanical properties)• Roof bolt type and diameter (impact on reinforcement)Some factors showed no statistically significant relation to stability. These included:• Total area• Supported areaSeepage was a more problematic variable in assess. Seepage is associated with instability, but it is not clear whether seepage occurs as a consequence of instability, for example, through the creation of tension cracks, or whether the intersection has been excavated where water already exists and has degraded the rock prior to excavation, leading to greater instability.Seepage appears related to the geology of the roof rock mudstones, not the sandstones. Tension cracks in the intersections occur preferentially where the Sulfur content is below 0.9%. The Sulfur may relate to mechanical differences in the roof rock, and where the Sulfur is low, the roof is less stable, there are more tension cracks, and seepage is greater. This suggests that the weaker mudstones may be more prone the development of tension cracks, not because these rocks are more brittle, but possibly weaker.2-way and 3-way intersections appear to have less seepage than 4-way, although very few intersections overall have any seepage. This is similar to the roof stability, in which the 2-way and 3-way are more stable. 2-way and 3-way intersections have fewer-than-expected tension cracks, while 4-way have more than expected. These results suggest that four-way intersections are weaker and more prone to tension crack development, also suggesting that increased seepage results from weaker roof conditions, rather than the converse. Thus seepage appears to be mostly a consequence of instability rather than a cause and is higher where there are 4-way intersections, mudstone geology and external loading factors like depth of cover and proximity to gob that promotes crack development. The study also indicated that a better understanding of the mudrock facies could reduce uncertainty."

Jan 1, 2015

By S Taylor, B Lumsden, G Long

Statistical metallurgical plant trials are becoming more widespread, as a valuable tool for increasing plant profitability. Generally, a single parameter like metal recovery varies under the trial condition while all other variables such as average metal feed grade or average metal concentrate grade are equal for the two test conditions during the period of the test. Metal recovery is usually the measured variable because concentrate grade is fixed by smelter terms, and plants operate to maximise recovery at the required concentrate grade. However, in all flotation plants there is a relationship between concentrate grade and metal recovery, and under the same conditions increasing one results in a decrease in the other. At MMGÆs Rosebery Mine the zinc concentrate produced is generally above smelter specifications, so zinc concentrate grade can vary during a test. During trialling of magnetic conditioning in the Rosebery zinc circuit, the difference in both zinc recovery and zinc concentrate grade were analysed. The analysis of changes in zinc grade and recovery during the trial raised some interesting questions about the relationship between concentrate grade and recovery. A paired statistical method was developed and tested to combine in each pair the change in concentrate grade and recovery in a single result that could be analysed by a paired t test. This method was found to be very sensitive to combined, varying changes in concentrate grade and/or metal recovery. It was also evaluated on plant test results from another flotation plant to verify its applicability in other plants. CITATION:Long, G, Taylor, S and Lumsden, B, 2012. Statistical plant trials - Efficiently combining concentrate grade and metal recovery results, in Proceedings 11th AusIMM Mill OperatorsÆ Conference, pp 355-362 (The Australasian Institute of Mining and Metallurgy: Melbourne).

Oct 29, 2012

By K G. van den Boogaart, U Mueller

"An accurate prediction of benefit for some types of ore may require not just the ore grade, but a whole compositional characterisation of the estimates; that is, its full mineral composition including waste composition and nuisance elements. An example is Nickel laterite ores, where Ni/Co content must be complemented by estimates of many other elements, as these might have a notable impact on ore processing.Estimates are often obtained with (co-)kriging or co-simulation; however, geostatistics applied to compositional data may yield spurious and inconsistent results because of the constant sum constraint. The log-ratio approach avoids such problems. It proposes a three-step procedure: data are mapped to a set of log ratios of components; for example, the additive log-ratio transformation (alr) transformed scores are modelled with an appropriate fully multivariate geostatistical toolbox; for example, direct/cross-semivariograms and co-kriging or co-simulation results are back-transformed to the original units.Some practical aspects may make the application of this technique difficult: the assumption of Gaussianity and the high dimensionality of the compositions combined with the need for using multivariate methods. This contribution compares several ways of treating compositional data (combining normal score transformation, log-ratio transformations, and minimum/maximum autocorrelation factor (MAF) decomposition) with respect to their ability to generate sensible simulations. The various approaches considered are illustrated with a Nickel laterite data set for which ten variables are available. Both theoretical considerations and illustration results suggest that the best combination is (log)ratio-normal score transform-MAF, in this order. The factors so obtained are closer to Gaussian, approximately spatially decorrelated and can be simulated independently. Simulations can later be recombined to alr-simulations, which in turn may be converted back to point compositions. The resulting simulated compositions are compared with a full Gaussian co-simulation of the raw data. The log-ratio methods show reasonable to good reproduction of mean values, and distribution of the data set and by construction satisfy the total sum constraint, in contrast to the simulations based on raw data for which the total sums fluctuate strongly.CITATION:Mueller, U, Tolosana-Delgado, R and van den Boogaart, K G, 2014. Approaches to the simulation of compositional data – a nickel-laterite comparative case study, in Proceedings Orebody Modelling and Strategic Mine Planning Symposium 2014, pp 61–72 (The Australasian Institute of Mining and Metallurgy: Melbourne)."

Nov 24, 2014

By S. P. Singh

In order to simulate the operation of coal extraction machines, a portable workability instrument has been designed. Initially, the tests were performed with the instrument on modeling material, which were followed by in situ tests on coal in underground mines. The peak and mean cutting resistance and work done to cut a unit length of coal were determined for coal as well as modeling material. In addition, rebound strength and dynamic penetration tests were also performed in situ. On the basis of the cutting characteristics of coal, a "Workability Index" has been developed and its role in the judicious selection of coal cutting machines has been discussed. With reference to prior works and the strength characteristics of coal, it was found that the coal plow may not be suitable for the seams under investigation and the shearer seems to be the only choice. It has been observed that peak cutting resistance and the "Workability Index" in the case of coal as well as modeling material depend upon compressive strength. The peak cutting resistance exhibited certain dependence upon the Schmidt rebound hardness and dynamic penetration strength of coal in situ.

Jan 1, 1984

By Ciro Manolo Alegre Huamán

El presente texto describe la metodología para el desarrollo del planeamiento de minado subterráneo a través del software minero y de técnicas matemáticas modernas. Así también es importante la base de datos geológica que servirá como soporte para generar los modelos geológicos y geotécnicos a partir de los cuales, se obtiene el modelo de recursos mineros y, consecuentemente, las reservas mineras, que es donde se soporta el planeamiento de minado para una operación minera subterránea.

Jun 1, 2012

By Alberto J. Terrones

"En la actualidad mundial, la exploración de zonas mineralizadas se hace cada vez más restringido, dada la demanda de metales y el progresivo agotamiento de las reservas. Por ello, se realizan estudios geológicos previos que permitan una exploración sistemática de las minas a mayor profundidad. Siguiendo esta ruta, el éxito del descubrimiento de algunas zonas mineras en el Perú, radicaría en las áreas donde la erosión es un factor determinante de la trascendencia o intrascendencia del tonelaje del mineral. Por tal motivo, el objetivo del presente trabajo, es señalar las características de los métodos modernos de exploración minera, aplicados al enfoque de las áreas principales para un futuro explotación de tonelajes de mena. Todo esto a partir de una naturaleza metódica y sistemática de las investigaciones geológicas preliminares, incluyendo las fases de su ejecución, posición, orientación, longitud, orientación, longitud y costo de los trabajosde exploración primaria, tales como socavones, sondajes, diamantinos, trincheras, etc., al tiempo que indique la potencialidad que puedeesperarse del yacimiento o yacimientos que se investigan."

Jul 20, 1955

By Ihsan Berk Tulu, Ted Klemetti, Deniz Tuncay

"The Analysis of Retreat Mining Pillar Stability (ARMPS) program was developed by the National Institute for Occupational Safety and Health (NIOSH) to help the U.S. coal mining industry to design safe retreat room and pillar panels. ARMPS calculates the magnitude of the in-situ and mining-induced loads by using geometrical computations and empirical rules. In particular, the program uses the “abutment angle” concept in calculating the magnitude of the abutment load on pillars adjacent to a gob.In this paper, stress measurements from U.S. and Australian mines with different overburden geologies with varying hard rock percentages were back analyzed. The results of the analyses indicated that for depths less than 650 ft, the ARMPS empirical derivation of a 21° abutment angle was supported by the case histories; however, at depths greater than 650 ft, the abutment angle was found to be significantly less than 21°. In this paper, a new equation employing the panel width to overburden depth ratio is constructed for the calculation of accurate abutment angles for deeper mining cases.The new abutment angle equation was tested using both ARMPS2010 and LaModel for the entire case history database of ARMPS2010. The new abutment angle equation to estimate the magnitude of the mining-induced loads used together with the LaModel program was found to give good classification accuracies compared to ARMPS2010 for deep cover cases.INTRODUCTIONIn the early 1990s, the Analysis of Longwall Pillar Stability (ALPS) was introduced by Mark (1990) as a chain pillar design software and was generally accepted and used by the U.S. coal mining industry. Following the success of ALPS, the National Institute for Occupational Safety and Health (NIOSH) developed the Analysis of Retreat Mining Pillar Stability (ARMPS) program for designing retreat mining pillars using a similar approach as ALPS (Mark and Chase, 1997). The Australian mining industry also recognized the success of ALPS, and Colwell, Frith, and Mark (1999) calibrated the program to Australian conditions. The ALPS and ARMPS programs draw their strengths from the large databases that are used to calibrate them (Mark, 2009). However, following the Crandall Canyon Mine collapse in 2007, NIOSH had to reconsider the pillar design criteria used in deep-cover retreat mining (Mark, 2010). The ARMPS overburden load prediction algorithm was improved to more accurately predict the loading of narrow panels with high overburden depths by implementing the pressure arch concept, and this new version is called ARMPS2010."

Jan 1, 2019

By R. Trueman, D. B. Tyler

Numerical modelling was used to determine the magnitude and direction of stresses around drives both adjacent to and distant from open stopes in the South Crofty tin mine. Modelling predicted that drives near the stopes are situated in a stress-relaxed zone. The peripheries of drives that are sited in solid rock away from the influence of stoping are in compression. Key-block modelling was used to determine the typical geometries of critical blocks and distinct element modelling was used to determine block stability. The conclusions derived from modelling fitted the observational data. This indicated that key-block theory is a valid tool for analysing the stability of roadways in the South Crofty mine. The support requirements for drives located next to stoped-out areas were formulated using a risk analysis approach to key-block formation. The results were compared with support guidelines derived using empirical design methods. Good agreement was obtained for the roofs of the drives but not for the sidewalls. The concept of a critical excavation width was formulated: once an excavation is larger than the critical size the length of rockbolts need not be increased as the excavtion dimensions increase. This may be the case in all rock mases.

Jan 4, 1993

By Patrick J. Hannigan, Alex Ryberg, Rozbeh B. Moghaddam

Driven piles are widely used for foundation support. In the vast majority of cases, an increase in pile capacity occurs with time which is referred to as “set-up.” However, in a very limited number of cases, a decrease in capacity with time can occur. This phenomenon is referred to as “relaxation.” This paper will provide a brief review of the relaxation phenomenon, as well as pile driving information and dynamic test data on cases where relaxation has occurred. The pile types in the presented relaxation cases include H-piles, open-end and closed-end pipe piles, prestressed concrete piles, and prestressed concrete piles with H-pile stingers. The soil conditions where relaxation occurred includes dense to very dense fine sands, heavily over consolidated clays, and weak laminated rocks. Relaxation information from 36 piles at 26 sites is assessed. The collected data will assist foundation designers by identifying the subsurface conditions where relaxation has occurred, as well as by documenting the corresponding relaxation magnitude. One method of addressing relaxation when it is encountered is to drive the foundation piles to a greater end of initial driving capacity than required long-term. Hence, the identification and quantification of the relaxation magnitude will be beneficial to foundation designers installing similar pile types in similar subsurface conditions. The paper will also present pertinent observations and recommendations on mitigating relaxation when encountered. INTRODUCTION One of the earliest observations of a decrease in redriving resistance following initial driving was reported by Miller (1937). He reported that piles driven into a saturated, coarse grained soil could lose 40 to 50% of their resistance when redriven 24 hours after initial driving. Yang (1956) similarly reported that after a break in driving, a decrease in driving resistance could be encountered for piles driven in dense fine sand, inorganic silt, or stiff fissured clay. Parsons (1966) in his paper that described piling difficulties in the New York City metropolitan area termed this phenomenon “relaxation”. In this time period, pile capacity was most often evaluated from a pile driving formula frequently checked by a static load test. Hence, the true magnitude of the capacity decrease on a given pile was often poorly quantified. Furthermore, dynamic measurements that could determine what influence driving system performance variation had on the observed redriving resistance were not yet readily available.

Jan 1, 2019

By K. M. Swanson

El presente texto describe la eficiencia del laboratorio protegido con el blindaje de Duunreay, Escocia, perteneciente al Centro Experimental de Reactores de la Comisión de Energía Nuclear del Reino Unido. El laboratorio ofrece una combinación única de medios sencillos de manipulación del combustible nuclear altamente radiactiva y de un conjunto de aparatos verificadores y experimentadores para múltiples usos, cuya función es estudiar el combustible de reactor.

Sep 1, 1965

By M. Tanaka, H. Narita, K. Morisaku

"The selective separation of palladium (Pd), platinum (Pt), and rhodium (Rh) from a hydrochloric acid solution by solvent extraction was investigated using amide-type extractants, i.e., N,N,N’,N’-tetra-n-octyl-thiodiglycolamide (TDGA) and N-n-hexyl-bis(N-methyl-N-n-octyl-ethylamide) amine (BisAA). The separation experiments employed two separation schemes: (1) extraction of Pd with TDGA and that of Rh and Pt with BisAA; and (2) extraction of Rh, Pd, and Pt with BisAA. Separation scheme 1 achieved the highly selective separation of each metal. For separation scheme 2, Rh can be recovered prior to Pd and Pt, despite having a lower selectivity for Pd/Pt than separation scheme 1. INTRODUCTIONThe recent increase in the use of platinum group metals (PGMs) in industry (especially auto catalysts containing palladium (Pd), platinum (Pt), and rhodium (Rh)) has lead to their increasing waste; therefore, improvements in the recovery techniques for PGM have received significant attention. In metal refineries, PGMs are mainly separated and purified by solvent extraction (Cox, 2004). The extraction process used in INCO’s Acton precious metal refinery is one of the most famous commercial processes and is utilized worldwide. In this process, silver is first removed as a residue (AgCl), and then gold, Pd and Pt are extracted from hydrochloric acid (HCl) solutions using dibutylcarbitol (DBC), dialkylsulfide (DAS), and tri-n-butylphosphate (TBP), respectively. Finally, Rh remains in the raffinate (Barns & Edwards, 1982).The development of a successful solvent extraction process depends on the choice of the appropriate extractants. We have studied the extraction of PGM using N,N-disubstituted amide compounds (Narita, Tanaka, Morisaku, & Abe, 2004; Narita, Tanaka, Morisaku, & Tamura, 2006; Narita, Tanaka, & Morisaku, 2008a, 2008b). They are relatively stable against acids, and their metal extractability can be improved by changing the side chain length and/or introducing additional donor atoms like sulfur and nitrogen. We have recently found that thiodiglycolamide and an amide-containing tertiary amine have good extractabilities for Pd and Rh, respectively."

Jan 1, 2012

By Jan Pan, Deqing Zhu, Xianlin Zhou, Yanhong Luo, Zixing Xue

"Magnetic roasting process, aiming at obtaining magnetite concentrate, is the principle method of exploiting siderite as a raw material in iron and steel industry. Study on preparing DRI from siderite through coal based reduction technology is sporadic. To make the process of how siderite is reduced to iron clear, roasted ore reduced from siderite by lignite under different time periods were analyzed. The results indicated that: at the temperature of 1050°C, siderite was rapidly decomposed into magnetite, and further reduced as Fe30r?FeO?Fe, the later step was slower than the previous one. A fracture of particles was found during the process of thermal decomposition and the reduction of newly formed magnetite. As the reduction proceeded, metallization rate of products increased, and the iron grain grew along with time.IntroductionWith the rapid development of economy, China demands more and more iron ores for the iron and steel industry. China has rich iron ore resources, but 97% of them are below 30% in iron grade, many are refractory and unutilized [1], therefore large quantities of imported iron ores are in a desperate need. China imported 686 million tons of iron ore in 2011 (data from the China Customs), accounting for nearly 60% of the total consumption. To guarantee the healthy development of iron and steel industry, domestic refractory iron ores have to be utilized both economically and environmentally."

Jan 1, 2013

By Thiago Félix dos Santos

A maioria dos materiais poliméricos sintéticos apresentam superfícies quimicamente inertes, isentas de porosidade e baixa energia de superfície. Este trabalho tem como objetivo realizar a modificação superficial do substrato têxtil de forma a aumentar a sua molhabilidade. Os tecidos de poliéster são hidrofóbicos e, por isso são desconfortáveis aos usuários, pois a fibra não absorve o suor do corpo, outro fator que é prejudicado pela hidrofobicidade da fibra de poliéster é o tingimento das mesmas. Portanto, tratamentos superficiais vêm sendo utilizados para minimizar esse problema e o plasma é uma técnica que se mostra bastante eficaz. O plasma ao interagir com a superfície do substrato provoca alterações químicas e físicas melhorando suas propriedades. Portanto, através do plasma é possível alterar as propriedades físico-químicas das superfícies de tecidos de poliéster, tendo como resultado o aumento da hidrofilidade dos mesmos com o incremento de grupos funcionais polares e o aumento da rugosidade em sua superfície. As amostras foram tratadas em um reator de plasma de barreira dielétrica a pressão atmosférica, em diferentes tempos de tratamento e voltagem. Após as funcionalizações as amostras foram submetidas ao teste de capilaridade, a fim de observar a melhora na hidrofilidade. Todas as amostras tratadas tiveram aumento na molhabilidade, com exceção, as amostras tratadas com 10 kV, onde não houve alteração.

Aug 7, 2018

A method for the detection and analysis of tin in cassiterite ores is discussed. An empirical relationship was established between the tin content of an ore sample and the percentage absorption that this sample produced in a Mossbauer experiment. The time taken to complete an assay with this method is much less than with any of the methods currently in use. The equipment can be adapted readily for use in the field.

Jan 1, 1969

By James W. Cassie

The Snap Lake Diamond Project is located approximately 220 km northeast of Yellowknife, NT, Canada at an approximate latitude of 63?35?. The project location is within the zone of continuous permafrost; measured ground temperatures are about ?2?C at 10 to 20 m depth below surface. The site is located on a peninsula jutting into Snap Lake. The site is generally barren of vegetation, except for some isolated areas with low trees located in topographic lows and near the shoreline of Snap Lake. As part of phased evaluation process with regards to the mining project, an Advanced Exploration Program was undertaken in 2000 and 2001. This program included the underground extraction of a bulk sample of kimberlite, which was processed on site. A Processed Kimberlite Containment (PKC) area was required as part of this program. The area chosen as the PKC facility was a small inland lake, called Inland Lake #1, on the peninsula. Construction of the PKC area required the construction of two dams, one on either end of the lake. At the south end of the lake, Dam 1 was constructed partially on a talik and partially on continuous permafrost. Dam 2 was constructed entirely on permafrost. The effects of the remote location, selection of suitable construction materials and permafrost conditions on the designs of the dams are discussed. A description of the design elements and construction schedule are provided. A review of the performance of these two dams, in terms of settlement, deformations, pore pressures and thermal regime, over the last several years is provided.

May 1, 2003