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By John R. Thalimer

For the past four years the U.S. Bureau of Mines has investigated the early detection of insulation failure in squirrel cage induction motors. Data modeling techniques based on values calculated from a motor's voltage and current phasors were used to produce a pair of polynomial equations that calculate a motor's insulation leakage current and power. This paper describes a prototype system using these models that monitors six motors on a continuous miner for insulation leakage in order to anticipate insulation failure. The system consists of a motor-data system for each motor on the machine, a control computer located some ' distance from the miner, and a serial bus to interconnect these items. Each motor-data system consists of an analog interface to the motor's voltages and currents, a single-board computer that reads digitized data and calculates voltage and current phasors, and a bus node that interfaces the single-board computer with the serial bus. The control computer can request and receive phasor data from any motor-data system on the bus. Using models developed at the Bureau, the control computer calculates and displays two deterioration values for each motor, one for leakage current and the other for leakage power. These values are then stored into a database from which the user can display them over time.

Jan 1, 1992

By Howard L. Hartman

Introduction The federal government's declining role in funding research has created a critical dollar gap for university departments of mining engineering. Industry, too, is affected by the drought. Research is lagging. Hardpressed universities are going to the private sector for funding. Mining companies should not shower universities with philanthropy, but a research partnership should be contracted on a pay-as-you-go basis. A model exists at The University of Alabama (albeit not in mining) that could be adopted by the mining industry. An equal partnership arrangement between a university and an industry for conducting research is proposed. The concept is not that a corporation sponsors and a university performs the research. Nor does it call for educational contributions or giveaways from industry. Rather, the corporation and the educational institution enter into a cooperative research endeavor, a full and equal partnership. Both parties contribute and both share the benefits. A key to the relationship is that it has a single objective: it must generate profits or reduce costs for the company. Working Model Recent literature is replete with examples of proposals for joint research endeavors, involving both contracts and grants, between industry and universities (Bronwell, 1971; Bugliarello, 1978; Branscomb, 1981; Sanford and Holland, 1982). They are all good proposals and offer something to both parties. They are, however, not widely supported. Few have received a favorable nod from the US mining industry. Though it may be logical, for example, to remake the American Mining Congress (or some new consortium) in the mold of umbrella-type industry organizations to fund cooperative research with mining institutions, such proposals have never flown. What model, then, will work? First, look for a model that has worked in industry in general. Second, seek to apply it to mining specifically. There is a model project that satisfies the first of those criteria. It is a project complicated by a third party, in addition to a corporation and a university. In January 1983, the "Factory of the Future Project" was initiated between The University of Alabama (UA) and General Motors Corp. (GM). The United Auto Workers (UAW) is a third party to the agreement. The factory was GM's Rochester Products Division manufacturing plant in Tuscaloosa, AL, also home of UA's main campus (Fig. 1). Saving a Plant The agreement came about at the initiative of GM and the UAW. Faced with having to close the plant because of excessive production costs, company and union officials proposed to the university that an applied research facility be established at the plant. The university would operate the laboratory, dedicated to $470,000 a year cost reductions for the company. The school would lease the 5.1 km2 (55,000 sq ft) space for $470,000 a year for three years. Any savings effected by the university's research effort would be credited toward to the rent. GM said the small factory, which made replacement carburetors

Jan 9, 1984

By Graeme J. Jameson

A form of column flotation cell is described in which the contact between the feed and the air stream is made in a mixing device at the top of a vertical downcomer. The air-liquid mixture flows downward to discharge into a shallow pool of pulp in the bottom of a short cylindrical column. The bubbles disengage and rise to the top of the column to overflow into a concentrate launder, while the tails are discharged from the bottom of the vessel. The main advantages of the device described are that the overall height of the column is reduced to about one metre (3 ft), and the column can be self-inducing with respect to the air supply. Experimental results are given from tests on a feed stream to a conventional zinc cleaner circuit. Using wash-water to reduce gangue entrainment, the column gave high concentrate grades and high recoveries.

Jan 1, 1988

By D. A. Newman

A longwall chain pillar is comprised of two distinct zones, a solid elastic core enclosed by an exterior of failed or yielded coal. For the purpose of pillar design, the ability to delineate the extent of pillar yielding and correlate the yielding with the applied pillar load is of fundamental importance. A study was initiated on a longwall section of a West Virginia mine to: (1) delineate the location of the elastic core-yield zone boundary, (2) examine the stress distribution within the pillar, and (3) quantify pillar stability as the longwall face retreated toward an instrumented pillar. A US Bureau of Mines sonic velocity probe was used in conjunction with vibrating wire stress meters to define the elastic core-yield zone boundary and the migration of vertical stress toward the pillar core. The extent of the yield zone as determined by field results is compared with the extent of the failed zone as predicted using a series of equations developed by Wilson.

Jan 1, 1988

By S. R. Abt, J. D. Nelson, G. M. Smith

An empirical investigation was conducted to formulate a design criteria for predicting the beach profile of hydraulically deposited tailings. Field data were obtained from mining operations producing gold sulfides, silver, molybdenum, copper, platinum, and uranium. Site-specific parameters were collected that included the beach slopes, tailings soil properties, slurry properties, and the slurry distribution system characteristics. Each of the beach profiles were dimensionlessly plotted, and regression expressions were computed. It was determined that either a power expression or exponential expression closely predicted each beach slope. A general power expression and a general exponential ex¬pression were developed resulting in a design criteria. A procedure was formulated to determine which expression, power or exponential, is applicable to any specific site. A slope designation chart was developed as a function of the discharge, the tailings critical tractive shear stress, and the inertial forces exerted by the slurry on the beach.

Jan 1, 1987

By Arthur B. Steiker

Digital simulation was used to model a proposed underground' train system. The trains are to haul ore from numerous loading points beneath the production area of the mine to a central underground dump location, and then return to the mine. The purpose of the simulation was to aid mine engineers in studying various alternatives and configurations regarding track layout, crusher (dump point) specifications, dispatch procedures, fleet size, and train length, among others. The simulation' model can also be used to study the same aspects of existing haulage systems. To accommodate a wide and initially unknown range of system designs, a modular model structure was developed with major components devoted to track routing, train movement, loading process, dumping process, and dispatch. Key statistics tabulated were number of trains dumped during a simulated week, queueing delays in the mine and at the crusher, crusher utilization, cycle time, and percent of time for each: activity (loading, moving, dumping, etc.). The simulation results were instrumental in identifying a train system design which would reduce queueing delays and meet production goals with a minimum of trains and track mileage.

Jan 1, 1982

By Bart Hogeweg

The development of deep sea mineral deposits creates a new horizon for the mining industry. In a field where mining technology meets deep-water offshore engineering, new challenges are faced to come to the successful exploitation of these deposits. With the absence of proven technology for the mining of these minerals, a ?technological green field? is entered. IHC Merwede (IHC), a global market leader in the dredging and wet mining industry, is on the frontline of these developments. MTI Holland, IHC Merwede?s research and development company, has undertaken a number research efforts focused on the successful development of technology for the mining of deep sea minerals. This paper highlights a number of these efforts and illustrates IHC?s continued dedication for the research and development of technology to enable the commercial mining of deep sea minerals.

Jan 1, 2008

By Larry Snyder, Levent Ozdemir, Charles Fishman, Fun-Den Wang

Tunnel Boring Machine Instrumentation A 9.17 m. diameter tunnel boring machine presently in operation in Chicago, Illinois, has been instrumented to continuously monitor and record machine thrust, torque and penetration rate during boring. A micro-processor-based data logger capable of monitoring up to 60 channels of data digitizes and converts into appropriate engineering units the signals from various transducers mounted on the machine. The output from the data logger is sent to a teleprinter, providing a permanent record of measured data. The program control enables the data logger to scan all data channels at desired time intervals. Data obtained to date have been analyzed to determine the interrelationships of the parameters measured. Penetration rate was found to increase linearly with machine thrust with a unit increase in thrust causing more than a unit increase in penetration rate. For low thrust levels corresponding to the initial stages of a boring cycle, the penetration rate was observed to behave erratically until the thrust pressure was sufficiently high for the cutters to establish full contact with the tunnel face. Torque showed a curvilinear increase with machine thrust, reaching the design rating at about 70% of maximum available thrust. No-load torque was approximately 20% of the machine's rated torque capacity. Overall, the trends observed in measured machine parameters correlated closely with those predicted from experimental and theoretical boreability studies. In summary, the instrumentation system has mett two basic goals. First, it provided extensive and accurate boring data and secondly, it has proven that an automatic data acquisition system can be installed on a TBM and can function under adverse environment.

Jan 1, 1979

By D. G. Krige

Discussion by D.G. Krige I read the paper "The jackknife approach" with interest. There appears to be a widespread misunderstanding of the kriging variance as a measure of the error variance of the kriged grade estimate of an ore block. Virtually all mineral deposits display skew frequency distributions and are subject to the well-known proportional effect. Thus, it is usual to find in an ore body, when subdivided a really into subpopulations, that the variances of the grades (or the total sills of the variograms) for the subpopulations will be correlated with the corresponding mean grades (usually linearly with the squares of the mean grades). Thus, the variogram will be station. When this feature is evident, the relative variograms for the subpopulations (i.e., with variogram values divided by the relevant mean squared) will be similar, or they could even be accepted at an averaged model for the whole ore body with stationarity. Using this approach, the kriging variance will reflect the relative error variance that is to be multiplied by the kriged block grade estimate squared to yield the usual kriging variance for purposes of confidential limits. The objection that the kriging variance does not take into account the local grades used for a block valuation then falls away. In the example given by the authors, the global mean grade is not recorded. But the global variance, taken at the value of the total sill, is 0.005, whereas the variance of the 11 values used in the example is 0.000152. The two variances differ by a factor of nearly six. If the relative variogram approach is applicable in this case, the need for a jackknife technique will fall away. Also note that, for skew distributions, the confidence limits for ore-block estimates will be skew as well, and symmetrical normal limits will not apply. RepIy by G.S. Adisoma and M.G. Hester There are a few interesting ways to utilize the block-by-block kriging variance that the authors have encountered. One of them is to classify a particular block into a proven-probable reserve or a possible-resource category, using a somewhat subjectively determined kriging variance value. Here, the kriging variance still represents the drilling density, i.e., data configuration more than the data values. Professor Krige mentions another ingenious approach through the use of relative variograms. This will yield a block kriging variance that takes into account local (block) grade, as he correctly points out, for purposes of confidence limits. However, we are more interested in quantifying the uncertainties associated with grade estimation in a much larger scale than a block. e.g., for a mining phase or the minable reserve. The jackknife, through the block kriging shortcut, provides a simple solution to obtain a single estimation variance for a general shape. The authors' main reference discusses different ways to handle skewed distributions typical in mineral resource estimation, e.g., the weighted jackknife approach or data transformation. Also, as with any technique, we can always improve our estimate by subdividing into smaller populations that are geologically and statistically separate domains. As we have mentioned; the jackknife is but a tool in our collection of tools to solve estimation problems. The jackknife's appeals are its simplicity and versatility. It is handy when no other solution is available, or when the available solution is not practical. It is used with other methods, not to replace them altogether. ?

Jan 1, 1997

By O. K. Kuznetzov, L. A. Otrozhdenova, N. D. Malinovskaya, I. I. Maksimov, N. D. Khodov

While processing zinc cakes with application of Weltz-technology silver remains unrecovered and goes into clinker. In order to prevent it the elaboration of effective silver recovery methods from zinc cakes before their weltzing becomes necessary. A combined method of zinc cakes treatment with leaching and flotation in a closed water circuit has been worked out. The technological scheme envisages the use of sulphgydril collectors in combination and comprises a series of consecutive operations: leaching, filtration, precipitation(cementing) and flotation. Total silver recovery is approximately 94%. The technology elaborated has been realized in a project by which the construction of a new shop is under way now.

Jan 1, 1995

By J. D. Miller, C. L. Lin

A PC, image-based, on-line instrument for measuring coarse particle size on a conveyor belt is under development. The hardware and software required to implement such a system are discussed, including the interface for the special image-acquisition hardware. The system concept is given with examples to illustrate the step-by-step procedure for the implementation of image-processing algorithms.

Jan 1, 1994

By Lynn B. Hales, Randy A. Ynchausti

Introduction There continues to be a large economic opportunity associated with improving process performance through advanced process control systems within the minerals industry. The basis for this opportunity lies in the inherently low efficiencies of many of the unit operations found in mineral processing plants as well as the continual variation that is present in the ores being processed. The ageless target of such control systems is improved recoveries and concentrate grades, higher processing rates and lower unit costs. Many plants are enjoying the benefits of modem, well functioning process control systems but few if any have achieved plant-wide optimization in an economical sense. As new process modeling and control technologies, such as neural networks, continue to evolve and develop, the potential for plant- wide optimization is becoming a closer reality. Neural network technology appears to have a significant potential in the general field of process control and control of mineral processing operations. Neural networks are an emerging technology that have been evolving out of the study of biological systems since the early 1940's. The first software simulation of neural computing networks was reported in 1956 by Nathanial Rochester of IBM Research during the first conference on artificial intelligence which was sponsored by the Rockefeller Foundation. Neural Networks Neural networks can be considered to be a class of computer program that perform their problem solving functions based on a rudimentary model of the human brain and how it solves problems. Traditional computer programs and even computers themselves solve problems or process data sequentially and in a deterministic manner. The human brain, on the other hand, processes data and solves problems in a massively parallel fashion. We think of computers normally in terms of having a single processing unit, sometimes a co-processor to assist in certain activities such as mathematical functions or communications, bytes of memory, processing speed and program/data storage size.

Jan 1, 1992

By Patricio A. Espinoza, Aldo Casali, Cristian Ardiles, Guillermo González

Cluster analysis is used to design grade soft-sensors in a rougher flotation plant and a ball mill overload soft-sensor. Soft-sensors are virtual sensors which either replace unavailable actual sensors or infer measurements for non existing sensors. In the case of the grade soft-sensors clustering serves to determine clusters of related operating points. To each cluster there corresponds an ARMAX model structure whose parameters are estimated using only the points in the corresponding cluster. Thus a much better correlation is found than if all the data points were used for a global model. The problem of identifying clusters when the measurement of the real sensor is not available is addressed. In the case of the overload soft-sensor, variables were selected which are related to overload, either from a phenomenological point of view or according to operator experience. Different clusters are formed, some of which are identified as determining an overload condition or a possibility of such condition. Each of these clusters has a set of operating conditions which suggests the corrective action to be taken when necessary. Both kinds of soft-sensors are tested with industrial plant data and promising preliminary results are obtained.

Jan 1, 1995

By Stewart R. Wallace

In the spring of 1959 while visiting the offices of the US Geological Survey (USGS) in the Denver Federal Center, I had a chance encounter with Paul Theobold, a former but, at that time, casual associate. Paul mentioned to me the results of his work on stream sediment geochemistry (Theobold and Thompson, 1959). Using panned concentrates, Theobold and Thompson had discovered a tungsten anomaly in Clear Creek and followed it upstream to its source on Woods Creek, a small tributary to the West Fork of Clear Creek. The specific source was a debris cone about 0.8 km (0.5 mile) upstream from the mine yard at the Urad molybdenite deposit. Because of the genetic and zonal association of tungsten and molybdenum at Climax, I found this very interesting. Accordingly, I related this information to Robert Henderson, general manager of western operations for Climax, and asked his permission to do some follow-up work. He, in turn, telephoned Frank Coolbaugh, the president of Amax, telling him of my interest and saying that, "Climax would take care of it." On my first visit to Urad, my companions (Dave Jonson, Bruce MacKenzie, and Dick Baker) and I were confronted by a "Cousin Jack" caretaker who made up for his diminutive stature by a "pistolover" that hung down almost to his knee and by a watchdog that was one-half wolf and one-half mean sled dog. We retreated discretely to Clear Creek and then climbed up the "back" side of Red Mountain by separate routes, across the ridge crest, and part of the way down the "front" side, sampling as we went. Although much of the ground was covered with snow, we found lots of puzzling but friendly looking rocks and the geochemical results were interesting. A geologic map of central Colorado showing the location of the Urad-Henderson and Climax deposits is shown in Fig. I.

Jan 1, 1991

By Joseph M. Keane

Introduction The English word "sedimentation" is derived from the Latin verb "sedere" meaning to sink down. As a mineral processing unit operation, sedimenta¬tion has been defined as the separation of a suspension into a supernatant clear fluid and rather dense slurry containing a higher concentration of solid (Brown, G.G. 1960). Sedimen¬tation has been historically subdivided into thickening, which has the primary purpose of increasing the solids content of one of the thickener prod¬ucts relative to the feed stream, and clarification, which has the primary purpose of removing solids from the feed stream to produce a product essentially free from particu¬late matter. There is no absolutely precise distinction between these subdivisions and in certain applica¬tions, both objectives can be accom¬plished. Major Design Factors The capacity of conventional metal¬lurgical sedimentation devices is a function of slurry throughput and its attendant settling rate. Important factors, recognized by early investigators (Taggart, 1972), which influence the settling rate of a given metallur¬gical slurry include: Feed dilution or solids-liquid weight ratio Size and shape of the particulate solids Specific gravity differential between the solids and liquid phases Presence of electrolytes and/or flocculants Pulp viscosity Slurry temperature In addition to the foregoing histor¬ical factors, recent investigators have noted (Pearse, M.J., 1977) that other parameters which may have an influence upon settling rate and, thereby, thickener performance include: Method of flocculant application Particle size distribution Particulate wetting characteristics Feeding arrangements Rake speed and type Existence of convection currents Wind disturbance Evaporation All of the above factors should be examined and the effect upon thick¬ener performance brought about by manipulating the factor over the expected operating range should be determined if performance optimization is desired.

Jan 1, 1986

By J. Partyka

Respirable dust produced during blasting operations in underground mines exhibits both diffusion and convection properties of the airflow. However, the application of the mathematical model presently used to calculate the change in time in the concentration of blasting pollutants is mostly limited to a single drift and cannot be easily utilized for blasts taking place in stopes. This paper discusses an analytical solution based on considerations that enable us to reliably identify the initial condition. Such an approach may be used for any blasting area regardless of its position, its size, or the ventilation system in use during blasting. In addition, a test procedure using field data is established to determined those parameters not measured directly. As well, equations are derived to find the diffusion coefficient, and the position and size of a dust source from the field data. Mathematical considerations The convection-diffusion problem, for a one-dimensional case, is described by the following partial differential equation (PDE): ct. = Dcxx - Vcx + source - sink(1) where C = the concentration of a pollutant T = time V = the mean air velocity in x-direction D = the diffusion coefficient X = distance away from the pollutant source source = any additional pollutant source specified by an initial value problem sink = decay of a pollutant inside the region specified by the boundary conditions. Respirable dust produced during blasting is best considered as an initial value problem (IVP). To derive a mathematical model, the following assumptions are made: •At time zero (t = 0), the dust source is at point x = 0 of an infinite drift. •The problem is considered a one-dimensional case. •The mean velocity of air and the diffusion coefficient are constant. •There is no source or sink of dust other than specified at point x = 0 and time t = 0. We have to solve the following problem [PDE ct=Dcxx-Vcx-m<x...m;0<t<m(2)] ICc(x,0)=f(x)t=0, the initial condition Where c = dust concentration in mg/m3 V= the average mean velocity in a drift in m/s t= time in s D= the diffusion coefficient in m2 /S x = distance coordinate in m. We observe that in problem (2), we have moved the boundaries to[ -m and +m] in order to have an initial-value problem. We introduce new coordinates, s = t and z =x - Vt. To rewrite the PDE in terms of (z, s), we use the chain rule ct = czzt + csst = -Vcz + cs cx = czzx = cz cxx = (cz)x = czz. We now substitute our computed ct, cx. and cxx into the PDE to get new IVP in terms of z and s :

Jan 1, 1991

By J. R. Sturgul

Computer simulation models of working mines can be a great benefit to mining engineers. Such models have been used in mine planning (how many trucks-shovels to have, when to add new equipment, etc.) and mine design (should a dispatch system be purchased, where is the optimum location, for mine equipment, etc.). A simulation model can be thought of as a dynamic representation of the mine. It can be easily changed to reflect a variety of situations. A major problem for the engineer is how to present the results of the simulation study. This has now been overcome by means of animation to present the results of the simulation. The main simulation languages in use for discrete system simulation are SLAM, SIMAN and GPSS/H. Each has animation with SLAMSYSTEM for SLAM, CINEMA for SIMAN and PROOF for GPSS/H. Animation with SLAM and CINEMA have been on the market for several years whereas PROOF is a relative newcomer and has features not found in other animation software. This discussion will be confined to PROOF. Some of the comments will apply to all simulation and animation software.

Jan 1, 1995

By Luís Tavares Ribeiro

Nowadays there is a greater need for detailed reservoir modelling in the oil industry. It is generally recognized that nearly all reservoirs are heterogeneous and idealization of rock characteristics in flow calculations is unrealistic regarding actual physical and textural conditions encountered in geologic formations. The heterogeneity of oil reservoirs considerably influences the distribution of fluids, as well as their displacement. It would be advantageous if a reservoir petroleum engineer was able to construct a precise mathematical model of the detailed reservoir rock variability characterizing the degree of reservoir heterogeneity in an unambiguous way. This paper presents a geomathematical model describing the spatial behaviour and distribution of the principal reservoir properties. The model is based on the Theory of Regionalised Variables and the Kriging technique. The model is performed by a set of computing programs and is tested on an Abu Dhabi oil reservoir in United Arab Emirates.

Jan 1, 1986

By S. Painter

The effects of forced ventilation and thermal radiation in open drifts are included in three-dimensional thermal hydrology simulations of a potential waste repository at Yucca Mountain, Nevada. A semi-analytical model is used to calculate the amount of waste heat removed by ventilation air during each time step of the multiphase thermal-hydrology simulator. The model accounts for thermal radiation and changes in air temperature and humidity along the emplacement drifts. The fraction of heat removed by ventilation is time and position dependent.

Jan 1, 2004

By R. Merwin, S. Hoff, A. Ellsworth, M. Zhao, X. Jiang

The choice of mill linings in comminution circuits is critical as it affects grinding efficiency, overall cost, and product quality. As a consequence, a variety of liners have been developed over the years in an effort to increase wear resistance, improve grinding efficiency, and reduce energy consumption. One particular type of metal magnetic lining (MML) was developed in China seventeen years ago and has since been installed in over 400 applications throughout the Chinese mining industry. Most recently, one set of magnetic mill liners was brought to the US for installation into a secondary ball mill used for the grinding of iron ore. Protection of the mill is provided through the magnetic attraction and retainment of worn media, ball chips, and other various magnetic particles to the mill wall. This greatly improves the wear resistance and overall life of the liner. The installation and performance data for the magnetic mill liners in a US iron ore concentrator are presented in this paper.

Jan 1, 2007