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By Deepak Malhotra, Robert Dorfler

Modern engineering mill design has been refined over the years to the point where detailed ore and process specification criteria can be developed In the engineering design phase of the project. The plant Is then built to the detailed criteria and performance acceptance tested by the owner to see if the as-built mill meets the criteria, This performance testing is critical to the owner; the test must be systematic with sample collection coordinated throughout the plant. Despite the availability of systematic approaches to plant development, the new plants often fall short of design criteria. This paper discusses the key Issues a Project Manager/Process Engineer should Implement to ensure that plants meet design criteria.

Jan 1, 1991

By J. C. McLaughlin, Bill A. Hancock, David J. Meacham

Great Salt Lake Minerals (GSLM) uses flotation to utilize low grade harvest evaporites in the leaching/ crystallization process. A final potash product coloration problems was encountered that was attributed to AERO• 801s promoter - magnesium ion precipitation in flotation which carried into the dissolution/crystallization circuit. Bench studies resulted in changing 801s to 845 which provided acceptable product brightnesses and higher flotation potassium recoveries. This is a case history reviewing the unique GSLM processing scheme, the bench and plant work identifying the potash quality problem, the bench work and solution, and subsequent process study and circuit optimization efforts.

Jan 1, 1993

Machine breakdowns and maintenance delays are large contributors to lost production and increased operating costs in the mining industry. The US Bureau of Mines is investigating the applications of expert system technology to diagnostic and predictive maintenance for mining equipment. This will help increase mining productivity and decrease operating costs by reducing the frequency of equipment failures and repair times. The Bureau has begun this effort by applying expert system techniques to the diagnosis of hydraulic system problems on a continuous mining machine. This paper discusses the development of the hydraulic diagnostic expert system.

Jan 1, 1992

By P. L. Webster, S. D. Thompson

The Coal Mine Belt Capacity Simulator (CMBCS) was originally developed to provide an improved belt capacity simulation through more detailed, flexible and realistic modeling of belt loading. While this model offered improved capacity design for conveyor belts and surge bins, it lacked the capability to simulate some key protection and segregation applications for bunkers. Recently, CMBCS was extended so that these latter bunker applications could be considered. In addition, a fear minor extensions were made to improve the model's flexibility and of efficiency. These various extensions and the steps taken to verify and validate them are described. The associated modifications in the model's input and output as well as the model's current requirements and availability are also discussed.

Jan 1, 1992

By R. P. King

INTRODUCTION It is now 21 years since Wiegel and Li published their paper on a random version of Gaudin's model for the mineral liberation phenomenon (Wiegel and Li, 1967). This paper was to revitalise interest in North America in one of the most fascinating, difficult and important problems in the field of theoretical mineral processing. Gaudin had many years previously (Gaudin, 1939) already presented a penetrating analysis of the problem and Wiegel and Li based their analysis very closely on the Gaudin model but they realised that the indeterminate geometrical structure of mineralogical materials demanded that only probabilistic models could provide the necessary quantitative information when working with real materials. They proposed and solved a randomised version of the Gaudin model but retained the essential geometrical simplicity of cubic mineral grains and a cubic fracture pattern. Although their model met with some limited success it was to be superseded in due course. During the 1940's and 1950's the classical field of geometrical probability spawned the mathematical discipline of integral geometry and as early as 1965, Bodziony (1965, a,b) showed that the techniques of integral geometry could accommodate the problems associated with the indeterminate nature of the geometrical mineralogical structure, provided that these were couched in probabilistic terms. In particular he showed that the quantitative description of the comminution process and that of liberation could be decoupled with the resulting economy of effort. This idea has profoundly influenced the course of research in liberation theory and has greatly facilitated its application and the measurement of liberation in a practical way. Bodziony demonstrated also that any theory that required the specification of the mineral "grain

Jan 1, 1989

By B. Amadei, A. Squassabia

This paper introduces the Rock Mass Median (RMM) index, a statistical measure of the mechanical quality of a rock mass thus is obtained through a mechanistic interpretation of the Poisson stochastic process. This process is the theoretical foundation of the Exponential Model, a probability distribution successfully used in practice to describe the spacing of discontinuities in rocks. Building on the Exponential Model, a simple method to compute RMM based on a widely accepted mechanical quality index is also presented. Verification is per formed through the analysis of two sets of core samples. Hypothesis testing at the 5% level of significance supports the validity of RMM for these samples.

Jan 1, 1994

By Pascale St-Germain, Michael Li, Lionel J. J. Catalan

The oxygen flux into water-covered reactive sulphidic tailings is required for evaluating the long-term performance and predicting the quality of engineered shallow water covers. This information can also serve as an input to the design of water covers for reactive tailings decommissioning. This paper describes some dissolved oxygen (DO) profiles recently measured in the field across the tailings/water interface and oxygen fluxes derived from these profiles. These fluxes are compared with previously reported flux values from similar field measurements. Techniques and pitfalls for measuring DO profiles and calculating oxygen fluxes are also discussed.

Jan 1, 2000

By Donald Lau, Adrian Crawford

In the field of grouting, practitioners fre¬quently advocate procedures that are often unique and contradictory. As a result there has been considerable debate as to what constitutes optimum grouting practice. A knowledge of both the rheological properties and the flow characteristics of grouts is essential to the development of a rational understanding of the grouting process. Flow models and viscosity experiments have been conducted using cement grouts comprising High Early Strength Portland and Microfine cements. The addition of superplasticizers was found to enhance the flowability of the grouts as well as to reduce the effective groutability ratio. Steady state flow equations and design charts for predicting the radial penetration of cement grouts have been developed.

Jan 1, 1986

By Qun Wang, Elena A. Alonso, Janusz S. Laskowski

Primary normal long-chain amines are insoluble in saturated brine. Their colloidal solubility (dispersion) in concentrated electrolyte solutions is strongly affected by the presence of surfactants (frothers). This paper shows that a better usage of alcohol type surfactants, which are commonly used in potash ore flotation as frothers, can significantly improve the flotation of both coarse and fine sylvite particles. A new process of potash ore flotation is developed, which includes premixing an effective frother with an aqueous solution of amine or emulsion of extender oil containing amine. With such a combination of flotation reagents, KC1 particles up to 5 mm in size float very well in the short flotation column, and particles up to 2 mm float in a mechanical cell; when used to treat fine fraction-containing sample, this method may as well provide an improved concentrate grade.

Jan 1, 1995

By J. A. Herbst, Y. C. Lo

An attempt has been made to parameterize the population balance model for a ball mill based on measurements of the elementary breakage process obtained using an ultrafast load cell device. Detailed insight obtained concerning the fragmentation of particle assemblies with the ultrafast load cell leads to a better understanding of ball mill grinding. The ball mill breakage function and specific selection function are derived from an average single event representing the multiple breakage events which occur in ball mill grinding. Since both the breakage function and the specific selection function depend on the loading mode in the mill, predictions of breakage mechanisms in ball mills are possible by using data obtained in various elementary loading modes. The application of this model to the description of batch ball milling behavior has resulted in reasonably accurate predictions of product size distributions for various energy inputs.

Jan 1, 1992

By Katsunori Okaya, Toshio Inoue

Application of the discrete element method incorporating the simple kinetic model of the ball-to-ball and ball-to-wall interactions enables us to visualize the details of the grinding actions prevailing in the ball mills. We have developed a computer program to represent a generic mill model with which we can simulate tumbling mills, vibration mills, centrifugal mills and planetary mills. While the program can be used for various purposes including design of new equipment, one obvious application of it is the analysis of the conventional tumbling ball mills for better understanding and improvement. The purpose of this paper is to present a model and to observe its behavior in particular attention to the spatial distribution of the energy dissipation as well as the energy spectrum and their dependence on the major parameters such as mill speed, ball filling, liner configuration, slurry viscosity and the hardness of the ore.

Jan 1, 1995

By G. Atesok, M. S. Celik, G. Onal, I. Yildirim

A new coarse cleaning device, the Stripa, has been developed for processing of coal in the size range of -100+10 mm. The Stripa is an auotogenous heavy medium separator originally developed for processing of iron ores. Although it has been employed in concentrating ores such as chromite, it has not been applied in coal cleaning. In this study, a pilot plant scale modified Stripa and its counterpart alternative, a diaphragm jig, are compared using subbituminous and lignitic coals. The separation performance of the Stripa and the diaphragm jig has been established in the light of washability properties of the coal samples. Comparison of the performance of the Stripa with that of the jig indicates that the Stripa can be used in coal preparation circuits as an alternative to jigs in the size range of -100+10 mm. Simplicity, low initial investment, and low operating and maintenance costs make the Stripa a plausible candidate for coarse coal cleaning. More importantly, Stripa due to its short residence time, has a superior capacity over jig.

Jan 1, 1995

By Stefan Zanon, Ty Faechner, Clayton V. Deutsch

Secondary data are important in geostatistical simulation of continuous variables. Geophysical data and geological trends are used for modeling porosity and permeability. Multiple mineral grades must often be modeled for mining applications. Sequential Gaussian simulation (SGS) is often used because of its relative simplicity and robustness. The two most common approaches to integrate secondary data in Gaussian simulation are with (1) locally varying mean, or (2) collocated cokriging. A significant problem with both of these techniques is variance inflation, that is, the variance of the resulting simulated values is too high because of an inappropriate decision of stationarity or an artifact of choosing a single secondary data in presence of many. We introduce a self-healing procedure for dynamic correction of this problem. The dynamic correction is different for the locally varying mean approach and for collocated cokriging since there are different reasons why each of these methods causes variance inflation. The reasons for variance inflation are discussed and the self-healing is applied to a number of data sets.

Jan 1, 2002

By Frank F. Aplan, Robert S. Thomson

A placer ore jig, typically used to recover fine gold, tin and diamonds from alluvial ores, has been modified to remove fine pyrite from minus 6.4 mm (-114 inch) coal. In parallel tests, it proved to be far superior to two conventional coal jigs, the Baum and the Baum-feldspar, in removing fine pyrite from coal. The Pan-Am placer jig was found to remove essentially all of the +28 mesh pyrite and from 99% to 90%, decreasingly, in the 28 to 200 mesh range. This jig also showed a superior performance to the Baum-Type jigs in removing fine coal from its associated refuse. The superiority of the Pan-Am placer jig is related to the strong emphasis given on the suction stroke and, hence, on consolidation trickling, whereas the Baum jigs principally emphasize the pulsion stroke during jigging.

Jan 1, 1995

By R. W. Hutson

One of the fundamental precepts of experimentation is the isolation of a single variable to quantify its individual effect. Unfortunately, the variability of natural rock joints has frustrated such isolation. This variability and the high cost of securing a large member of natural joints has lead to increasing experimental dependence on stage shearing, artificial tension fractures and/or model materials. The new apparatus described herein allows for the first time replication of real joints with field scale asperities. It employs a diamond band-saw blade with computer controlled feed table to cut joints with high precision. The feed system is capable of placement to tolerances similar to those of a high quality computer plotter. The accompanying software allows the table to cut any desired joint shape (repeating or non-repeating) within certain, over-all size limitations. Resulting joint surface dimensions and roughness as well as shear resistance indicates that the joint surfaces are reproduced with a precision similar to that possible for the control of other experimental variables such as normal and shear forces.

Jan 1, 1986

By J. M. Mutmansky, A. Wang

This paper defines the elements of a basic economic model for decision making when considering a methane drainage system for an underground coal mine. A drainage system entails significant capital and operating expense; hence the decision to utilize drainage must be made carefully. The model outlines the basic structure of decision making and considers the costs and benefits when the methane is marketed and when the methane is vented to the atmosphere. The effects on mine safety and the dust levels in the mine are also considered, both in a general format and as economic variables. Sources of information for executing this decision making are provided for an actual mine decision.

Jan 1, 1999

By K. V. K. Prasad

Stochastic simulation has been routinely used for performing risk and sensitivity analyses in a variety of fields. The commonly used means of generating the simulations has been the Monte Carlo approach, which usually employs a Simple Random Sampling (SRS) scheme of the variable distributions. This method is prone to sample clustering and requires a large number of samples to represent the distribution faithfully. This can become problematic for simulating complex processes where it is impossible to run an arbitrarily large number of replicate simulations. The Latin Hypercube Sampling (LHS) method uses a stratified sampling approach that assures representation of the input distributions for any given number of samples. In this paper the LHS and SRS approaches are compared, using a petroleum resource estimation example.

Jan 1, 1994

By Alissa Lockett, Chris D. Breeds

Central Water Integration Project (CWIP) Segment 5-1 is the most critical segment of a regional water supply project that transfers groundwater from Burleson County to northern San Antonio, replacing over 20% of that City’s water supply with a new source. CWIP Segment 5-1 included three tunnel reaches totaling 10,350-ft and 5 shafts that were constructed inside the City in an area known to contain large karst features. This paper describes site work used to investigate the alignment for karst features, manage potential environmental impacts, develop the contract package required for mitigation and the means and methods used to mitigate the large karst features that were encountered.

Dec 1, 2022

During development mining, ventilation capacity may decrease and the ventilation requirements may depart from initially planned values depending on the mining rate, increases in the methane emission rate, and changes in ventilation airway leakages. Insufficient ventilation air quantities and the occurrences of high methane liberation rates can overwhelm the existing quantity of ventilation air and result in elevated levels of methane gas during development mining. This condition can both limit the development of that section and increase the risk for an ignition that may lead to an explosion. Thus, the prediction of ventilation air requirements prior to mining can enhance worker safety by reducing the likelihood that explosive methane-air mixtures form. This study presents an approach for prediction of methane inflow rates using coalbed methane reservoir modeling. For this purpose, a two-phase coalbed reservoir model of a three-entry type roadway is developed. In the model, grids are dynamically controlled to simulate development of entries. Examples are given for methane inflow and ventilation air requirements as a function of mining rate, development section length, mining height, and the existence of degasification boreholes. This technology can be used to limit the methane concentrations occurring as a result of the influences of various coalbed and operational parameters.

Jan 1, 2008

By X. Shi, F. -Y. Wang

Automation and robotics are the keys to new intelligent autonomous mining systems that can remove operators from hazardous and stressful mining environments and provide the tools for greater productivity. This paper presents the components necessary for an Intelligent Task Control System (ITCS) for machine control in dynamic unstructured mining environments. In particular, the design details of a controller for an automated excavator are developed. The excavator controller uses fuzzy logic to interpret forces and torques gathered from a wrist mounted force/ torque sensor during the excavation process. This approach enables the transfer of human heuristics and expert knowledge to the controller. Several excavation tests using the fuzzy logic controller are described. These experimental results represent the first step toward an integrated approach that uses force/torque, vision and other sensor data to perform generic tasks in uncertain mining environments.

Jan 1, 1995