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By William F. Riggs

Inspiration Consolidated Copper Company, located in a semi-arid climate in Arizona, continually struggles with a water problem. This applies to quality as well as quantity. When the EPA considered installing a new centralized sewage plant to handle the combined waste from the municipalities of Globe and Miami, Arizona, they automatically assumed that He could use the sewage effluent for process water in flotation. The treatment plant was to be a tertiary system producing 1600 gpm of sewage effluent. Inspiration decided that this could possibly be a source of additional process water. It was decided to test sewage effluent from Miami Treatment Plant at the rate of 400 gpm since it was only a primary treatment plant. The 400 gpm was combined with the 5000 gpm of process water going to the Concentrator. After one week the results were disastrous. The recovery and final grade had each dropped approximately 5%. With the results from this brief run, it was concluded that sewage effluent from a primary treatment plant could not be used. Research was then brought into the problem to begin an evaluation of sewage effluent in flotation.

Jan 1, 1977

By J. A. Herbst

Until the past decade, the energy-size reduction relationship was the dominant form of mathematical model used in the description of tumbling mill grinding processes (1,2). Typically, in these models some single measure of product fineness (e.g. the 80% passing size, the size modules, the specific surface area) is chosen as the dependent variable and the energy input per unit mass of material being ground acts as the independent variable. In some instances these models have been useful for the correlation of experimental data, but, invariably, they have been found to be inadequate for meaningful process simulation. During the last decade considerable advances have been made in the development of phenomenological grinding models derived from population balance considerations (3-7). In these models a set of dependent variables is employed, corresponding to the set of mass fractions which constitute the product size distribution, and energy input is abandoned in favor of "time in the mill" as the independent variable. The phenomenological models have been shown to provide accurate simulations of the entire size distribution of ground products produced in batch (8-10), locked cycle(11)and steady and unsteady state, open and closed circuit continuous grinding(12,13).

Jan 1, 1973

By R. L. Roller

In recent years, there have been many articles and papers written on the use of specially designed belt conveyor systems in mining operations, either economic studies or actual experience. These papers generally conclude that the use of these systems can reduce overall costs from 10% to 40% over conventional methods using general purpose equipment (truck/shovel, scrapers, etc.). However, they also generally conclude that conveyor systems are inflexible and capital intensive. With the increasing cost of mobile equipment, the capital cost conclusion is losing steam, particularly when the costs of maintenance shops, road and ramp construction and other related start-up costs are thrown in. Attention here will be focused on answers to flexibility related questions, but first, a look at costs in general. Basic production economics tell us that when we have a small job to do, it is cost effective to use simple, low cost, general purpose tools which will have a minimum impact on total cost. It also tells us that when we have a large project, we can employ methods using special, relatively expensive production tools. Figure 1 illustrates what occurs on projects, of different sizes, with various quantities of production. With small quantities of work, the cost per unit of work starts out much lower using general purpose equipment, rather than using special purpose methods and equipment. However, at a relatively low quantity of work, the cost hits a lower limit and, regardless of how great the quantity of work, the unit cost can never go any lower.

Jan 1, 1985

By H. A. DeMirjian

Oil production rate and ultimate primary recovery from a heavy or viscous oil reservoir is usually limited to a very small fraction of the original oil in place. Typically, normal production rate is in the range of up to 10 barrels per day and expected ultimate cumulative production is up to 10% of in place values. Heavy oil reserves are not all alike. The physical properties of the rock, the liquid hydrocarbons, and depths of the deposits are so different that each reservoir poses a unique enhanced oil recovery problem. In some reservoirs thermal recovery by internal heat generation or external heat injection has been successfully exploited. In other reservoirs, mining the oil bearing formation for oil recovery by surface processing has been practiced. This paper will present an overview of the heavy oil recovery state of the art and discuss the critical factors leading to the decision for selection of a conventional hydrocarbon recovery or mining and extraction processes.

Jan 1, 1978

By A. Guzman

The design and construction of a new 140-ton-per-day R. O. M. phosphate rock scrubbing and washing plant was undertaken by Western Knapp Engineering Company, a Division of Arthur G. McKee and Company, for the J. R. Simplot Company, Minerals and Chemical Division, Pocatello, Idaho. The new plant replaces the owner's existing facilities at Conda, Idaho, seven miles northeast of Soda Springs in the southeast corner of Idaho. Replacement of the existing facilities became necessary because of loss in production and recovery. These losses were due in part to varying grades of raw ore from the mine and to the type of process equipment used in the old plant to upgrade the ore. Increase In production and grade was further necessary by demands created by expansion of facilities in Pocatello, Idaho, where all process ore from this plant is shipped. The new process scheme includes an ore-feeding system, scrubbing, screening, classification, wet cycloning, attritioning, filtering, drying, storage and shipping facilities. Space was also left for future increases of scrubbing and classification capacity and for heavy media separation. It is the purpose of this paper to take up some of the considerations necessary in the design of small mills in order to achieve the desired objectives of a successful plant, such as production, minimum operating cost and maintenance cost.

Jan 1, 1969

By H. Burton

"The selection of the ultimate pit shell has a major impact on the overall value of a mining project. The size and shape of this pit drives the selection of pushbacks, equipment, and project strategy, each of which are significant in their own right. Optimization of the ultimate pit shape is typically done using the Lerchs-Grossman algorithm with inputs of production costs, commodity prices, and pit slope constraints. This method ensures that every tonne mined is profitable but does not take into consideration the timing of material release. This timing is essential when calculating the Net Present Value (NPV) of the project, which is one of the most popular metrics for valuing deposits. Often, when the mining schedule and discounting are applied, material that was considered profitable before discounting becomes sterilized. The objective of this paper is to show the methodology for improving ultimate pit selection by considering the production schedule. Application of this technique will generally produce a smaller and higher-value pit than using the Lerchs-Grossman algorithm alone. INTRODUCTION The Lerchs-Grossman Algorithm was developed in the 1960s and exists to produce a mathematically optimum shape for open pit mines (1). This algorithm is now an industry leading technique for producing the theoretical optimum shape for open pits and is used in many popular pit optimization and strategic planning software packages, such as GEOVIA’s Whittle. The Lerchs-Grossman (LG) Algorithm is based on graph theory and optimizes on the assumption of non-discounted cash flows. This produces a mathematically optimum shape, but does not consider the timing with which the material will be removed from the ground. This is an important consideration, given that one of the most popular metrics for evaluating mining projects is Net Present Value (NPV) (2), which relies on the timing of cash flows as a major differentiator between options. This paper will discuss issues inherent in the use of ultimate pit selection based on undiscounted economic factors and illustrate a simple technique in Whittle, a leading software package, which can be used to improve the NPV of projects."

Jan 1, 2015

By T. R. Kostecki, A. J. S. Spearing, A. Hyett, M. Gadde

Ground control research for underground coal mining has progressed significantly over the past several decades. With this progression, and the ability to analyze and model underground conditions, underground working conditions have significantly improved. In order to progress further, the behavior of roof support must be known and be adequately modeled, such that models can be used for support design under different geological and mining conditions. This paper discusses the results from a research project funded by the U.S. National Institute for Occupational Safety and Health (NIOSH) and undertaken by Southern Illinois University Carbondale and Peabody Energy. The research involved installation of active and passive instrumented bolts in mines, recording relevant in situ data and then attempting to model the behavior of the bolts as mining progressed. Such calibrated models could aid in design of roof supports under different geological and mining layouts and thus, hopefully, further improve rock related safety.

Jan 1, 2012

By Samir Kumar Pal, Rajasekar Rathanasamy, Gobinath Velu Kaliyannan, Moganapriya Chinnasamy, Sathish Kumar Palaniappan

The research examines the performance of uncoated and coated tungsten carbide-cobalt rock cutting bits. It aims to optimize process variables (cutting speed, depth, coating material) considering multiple output responses (cutting forces, specific energy, wear rate, material removed, angle of reaction forces). The study uses a hybrid optimization technique combining Taguchi design, grey relational analysis, and fuzzy logic. The optimal parameter combination was found to be cutting speed: 200 mm/s, cutting depth: 6 mm, and titanium aluminum silicon nitride coating.

Apr 24, 2022

By P. Hornby, S. Henley

INTRODUCTION The project described in this paper is designed to provide a standard and flexible method by which data can be exchanged among different systems and packages in common use for geo- logical modelling and mine planning, with substantial savings in ad hoc programming which is expensive and produces interface software that is difficult to maintain. Such packages include specialised applications such as Vulcan, Surpac, Datamine, and Gemcom software, and the Whittle pit optimisation programs, and more general products such as AutoCad, Microstation, and Maplnfo, and database management systems through a generic SQL interface. The data translator is built around the CSIRO Data Model and GeoEditor, and will make widely available the benefits of the Data Model by adding functionality to its implementation in an industry- standard language and style, with interfaces to important geological and mining software products used by the industry, while including also the visualisation and editing capabilities of the GeoEditor which provides the functional framework within which the Data Translator is developed. The Data Translator is intelligent in the sense that it is not a black-box solution but allows visualisation and validation of data during transfer; furthermore it provides a means for changing abstraction levels during the transfer operation. There have been few similar efforts to address this problem. It is not a problem which is likely to be solved in any general or long- term way by any individual commercial software vendor. THE CSIRO DATA MODEL A wide variety of software tools have entered the exploration and mining industries via different pathways. Examination of these pathways and the origins of the software illuminates the types of data transfer problems and difficulties which might occur in the day to day life of exploration and mining operations. In exploration, the focus is normally on a large area (>5000km2) which is explored primarily in two dimensions. For 20 exploration purposes, geographical information systems (GIs) software, image processing software, and, in some cases, 20 computer aided design (CAD) software have been employed. Typically, GIs soft- ware is used the most by lands and tenements personnel and government geological survey organisations, image processing software is used the most by geophysicists, and 20 CAD software is used the most by drafting and geology personnel. In contrast, within the mining environment, almost all activities have 3D character. In this realm, 3D CAD software and specialised mine planning and design software are important. Specialised mine planning and design software is similar to 30 CAD software, but typically has additional capabilities such as specialised modules for surveying, drill hole data operations, open pit design and optimisation, underground mine design, mining block model creation, and/or ore reserve calculations. Unfortunately, the different origins of the software in exploration and mining lead directly to problems in data exchange and the design of seamless software systems. These problems result from the different data management strategies employed by the different classes of software. In order to address these problems, CSIRO Exploration and Mining and CSIRO Division of Information Technology have been investigating the structure, character, and syntax of data and soft- ware present in computer-aided exploration and mining activities since early 1993. The goal of this effort is to 1) systematically ex- amine the breadth and depth of the data in use within exploration and mining, and to 2) promote a data organisation strategy which is broad enough and comprehensive enough to enable wiser soft- ware design and easier data transfer. In the short term a data model can be used to improve data transfer; in the longer term it is hoped that a data model framework will help object-oriented concepts to enter the next generation of geoscientific software. The data model is described in more detail by Power et al., 1995. THE DATA TRANSLATOR PROJECT The CSIRO Data Model provides a basis for a very wide range of applications in geology and mining. It has been developed over the past two years by a joint team from the Division of Exploration and Mining and the Division of Information Technology, and its principal purpose is to provide a comprehensive and self consistent model of the geometric and topological properties of geological and mining data. The project is being carried out by CSIRO with the support of Australian mining companies through AMIRA (the Australian Mining Industries Research Association). Eight companies are sup- porting the project : • North Ltd Minenco • MIM Exploration • Fractal Graphics • BHP Australia Coal • Pacific Coal • Gencor CRA Exploration The systems to be interfaced have been decided by comparing the priorities of the various sponsors, to produce a final combined priority list as follows : • Vulcan • Minescape • Micromine • Mapinfo INTRODUCTION The project described in this paper is designed to provide a standard and flexible method by which data can be exchanged among different systems and packages in common use for geo- logical modelling and mine planning, with substantial savings in ad hoc programming which is expensive and produces interface software that is difficult to maintain. Such packages include specialised applications such as Vulcan, Surpac, Datamine, and Gemcom software, and the Whittle pit optimisation programs, and more general products such as AutoCad, Microstation, and Maplnfo, and database management systems through a generic SQL interface. The data translator is built around the CSIRO Data Model and GeoEditor, and will make widely available the benefits of the Data Model by adding functionality to its implementation in an industry- standard language and style, with interfaces to important geological and mining software products used by the industry, while including also the visualisation and editing capabilities of the GeoEditor which provides the functional framework within which the Data Translator is developed. The Data Translator is intelligent in the sense that it is not a black-box solution but allows visualisation and validation of data during transfer; furthermore it provides a means for changing abstraction levels during the transfer operation. There have been few similar efforts to address this problem. It is not a problem which is likely to be solved in any general or long- term way by any individual commercial software vendor. THE CSIRO DATA MODEL A wide variety of software tools have entered the exploration and mining industries via different pathways. Examination of these pathways and the origins of the software illuminates the types of data transfer problems and difficulties which might occur in the day to day life of exploration and mining operations. In exploration, the focus is normally on a large area (>5000km2) which is explored primarily in two dimensions. For 20 exploration purposes, geographical information systems (GIs) software, image processing software, and, in some cases, 20 computer aided design (CAD) software have been employed. Typically, GIs soft- ware is used the most by lands and tenements personnel and government geological survey organisations, image processing software is used the most by geophysicists, and 20 CAD software is used the most by drafting and geology personnel. In contrast, within the mining environment, almost all activities have 3D character. In this realm, 3D CAD software and specialised mine planning and design software are important. Specialised mine planning and design software is similar to 30 CAD software, but typically has additional capabilities such as specialised modules for surveying, drill hole data operations, open pit design and optimisation, underground mine design, mining block model creation, and/or ore reserve calculations. Unfortunately, the different origins of the software in exploration and mining lead directly to problems in data exchange and the design of seamless software systems. These problems result from the different data management strategies employed by the different classes of software. In order to address these problems, CSIRO Exploration and Mining and CSIRO Division of Information Technology have been investigating the structure, character, and syntax of data and soft- ware present in computer-aided exploration and mining activities since early 1993. The goal of this effort is to 1) systematically ex- amine the breadth and depth of the data in use within exploration and mining, and to 2) promote a data organisation strategy which is broad enough and comprehensive enough to enable wiser soft- ware design and easier data transfer. In the short term a data model can be used to improve data transfer; in the longer term it is hoped that a data model framework will help object-oriented concepts to enter the next generation of geoscientific software. The data model is described in more detail by Power et al., 1995. THE DATA TRANSLATOR PROJECT The CSIRO Data Model provides a basis for a very wide range of applications in geology and mining. It has been developed over the past two years by a joint team from the Division of Exploration and Mining and the Division of Information Technology, and its principal purpose is to provide a comprehensive and self consistent model of the geometric and topological properties of geological and mining data. The project is being carried out by CSIRO with the support of Australian mining companies through AMIRA (the Australian Mining Industries Research Association). Eight companies are sup- porting the project : • North Ltd Minenco • MIM Exploration • Fractal Graphics • BHP Australia Coal • Pacific Coal • Gencor CRA Exploration The systems to be interfaced have been decided by comparing the priorities of the various sponsors, to produce a final combined priority list as follows : • Vulcan • Minescape • Micromine • Mapinfo • Medsystem

Jan 1, 1996

By David Hartley

United States Steel Corporation Minntac Mine is located at Mt. Iron, Minnesota, on the Mesabi Iron Range. The taconite pit is two miles long by a mile wide, with a maximum depth of 170 feet. This paper will deal with the radio remote control of locomotives engaged in the railroad haulage of crude ore and waste rock at this property.

Jan 1, 1970

Using a series-model of an automotive short range radar sensor (SRR) and a recently completed experimental radar system, field tests have been performed in a surface mine. It was examined, to what extent low-cost electronically scanning radar sensors can provide useful data for assistance systems on large scale mining machines. Simple sensors are useful for anti-collision safety zones or hopper car automation. The more complex and sophisticated experimental radar system using digital beam-forming can clearly detect and map the contours of trenches and slopes. The overall promising results refer to many more potential applications for electronically scanning radar in surface and underground mining as a reliable alternative to mechanical laser scanners.

Jan 1, 2007

By Bill Tucker, Mike Black

"PROJECT OVERVIEW Crossrail, Europe’s largest construction project, will increase London’s transportation capacity by 10% when it opens in 2018. The Crossrail scheme is a combination of surface and underground railway that stretches 118km east-west through central London from Reading, Berkshire and Heathrow airport in the west to Shenfield, Essex and Abbey Wood in the London Boroughs of Greenwich and Bexley in the east. Crossrail will serve 40 stations, ten of which are new, and bring 1.5 million people within 45 minutes commuting distance of London’s key central business districts. 21km of the Crossrail route comprises twin-tunnels beneath the heart of central London. It is the central section of the route, and the challenges that had to be overcome to construct its tunnels under the historic capital that forms the subject of this paper. The route of the Crossrail tunnels can be seen in Figure 1. These tunnels weave their way through the city’s underground landscape, linking eight new underground stations which connect to the existing London Underground network, providing interchanges with nine existing lines as well as the National Rail and Docklands Light Railway networks.Crossrail began construction of enabling works in May 2009 and launched the first of eight tunnel boring machines (TBMs) in May 2012. 42km of major tunneling work was completed in May 2015, and included 11km of sprayed concrete lined tunnels at the five mined stations (Bond Street, Tottenham Court Road, Farringdon, Liverpool Street and Whitechapel) in addition to the bored tunnel sections. The remaining three sub-surface stations at Paddington, Canary Wharf and Woolwich were constructed as large open boxes prior to the TBMs passing through. Crossrail, Ltd. is a special purpose company formed by the project’s joint sponsors, Transport for London and the Department for Transport, to manage design, construction and commissioning of the project. In 2009, Crossrail engaged Bechtel Ltd. as its delivery partner and a joint venture, Transcend (comprised of CH2M, AECOM and the Nichols Group), as its programme partner. The project is being managed by an integrated programme management team which is staffed by Crossrail and its partners. The railway, when opened, will be operated by Rail for London. With tunneling completed in accordance with the project’s master control schedule, the new railway is scheduled to commence dynamic testing in late 2017, with a phased opening of the tunneled sections and stations through Central London in 2018."

Jan 1, 2016

By J. LaForest, R. Riggle

In today’s challenging mining environment, everyone is focused on minimizing cost per ton. With haulage costs approaching up to 45% of the overall mining costs, and loader performance driving production, optimizing payload on the truck is a big opportunity. This paper will focus on technology’s role in loaders achieving the truck target payload. There are constantly new innovations in technology, but not everyone uses them correctly. Technology is intended to help achieve the next level of performance, but still requires the right people and processes to effectively utilize the benefits. In today’s mining business, miners, engineers, trainers, supervisors, and managers have ever increasing roles and responsibilities as never seen before in past decades. Technology can make these roles more efficient, but fully relying on the technology can detract from optimization. Sometimes the old-fashioned method of loading to a consistent pass match will provide a lower cost per ton. Before blindly trusting your technology feedback, know these three areas discussed in this paper: (1) Prerequisites to utilize technology in payload management; (2) Types of payload management technology; (3) How to use the data to manage operator behavior. The objective of this paper is to provide low-cost recommendations to efficiently increase production. INTRODUCTION Whether miners claim to have been around and experienced it all, or they are the data-driven new generation on the mine site, miners are expected to execute the mine plan at the lowest cost possible. So why is it so difficult to execute this task? Shouldn’t supervisors just have to staff the equipment, tell operators to have a safe day and tally up the numbers at the end of the shift? Let the technology system do the rest; what could go wrong? Lots. Having examined numerous mining operations that use the latest loading technologies over the past several years, one common denominator is the opportunity to improve loader operator performance. Mining companies seek help from consultants, training departments, performance reporting systems and an arsenal of resources. Armed with all this information, but the improvements don’t happen, what could have gone wrong? It comes down to people, not managing the resources to drive the right behavior and as a result, the mine’s performance is not where it should be. Understanding how to make “Great Miners” out of these people is critical to this constant struggle to move more with less and get the costs down. Extraction CPT (Cost-Per-Ton) is most sensitive to optimizing loader production which can be generalized into 3 categories of influence: machine specifications, cycle timing, and continuous management using technology. After establishing a basic production machine configuration, utilizing technology to manage cycle times, operator efficiency and payload can be advantageous. Prerequisites to Utilize Payload Management Technology It is important to begin with the primary considerations that enable the use of technology to continuously manage loading productivity. All systems are interdependent in mining, but these are divided into the simplest terms to remember. First, fix your timing and geometry.

Jan 1, 2019

By HASAN SERKAN GOKCEN, SERKAN CAYIRLI

The purpose of this study was to investigate the dry grindability of calcite powders in a vertically and horizontally orientable laboratory batch type stirred mill. The experimental results were evaluated using stress intensity analysis. The performance was also compared in terms of mill orientation. The results showed that the d50 values decreased with increasing stress energy down to a certain point and then increased for both milling orientations. Even though the optimum stress energies for both vertical and horizontal orientations were in the range of 1*10−3 to 5*10−3 Nm at 750 and 1500 kJ/kg energy consumption, the product size was finer for the horizontal orientation at the same stress energy value. Additionally, to the best of the authors’ knowledge, this is the first study to compare mill orientation (vertical vs. horizontal) for the same mill and under the same test conditions.

Apr 21, 2021

By F. Varley, J. Whyatt

A variety of dynamic failure cases with regional impact were described at a bump symposium held in 1958. These types of events, while rare, are of particular interest because their ability to impact a large area has disaster potential. These cases can be grouped into two broad classes of events by mechanism. These are (1) a slip along steeply dipping faults and (2) the fracturing of strong strata above or below the coal seam. Both failure modes produce dynamic or “shock” loads on the perimeter (roof, rib and floor) of mine openings. Special consideration should be given to these failure modes in the planning of deep coal mines, since their occurrence is not within the professional experience of many contemporary workers. In addition, their potential is not evaluated by many of the analysis tools commonly used to evaluate hazards in coal mine plans.

Jan 1, 2009

By Peter Bush

The deposition of metastable carbonate minerals in ar. aid, sheltered, coastal environment, leads to the formation of a flat, coastel, sabkha plain. The ground waters of the sabkha plain are modified by evaporation, precipitation of salts and reaction between ions in solution and the host carbonates. The resulting brine is similar to those found in fluid inclusions associated with Mississippi Valley type deposits. The aragonite and high magnesium calcite found in the sediments can concentrate lead and zinc from sea water. On diagenesis the lead and zinc are released into the sabkha brines.

Jan 1, 1979

By Leena Suopajärvi, Karin Käär, Marcin Szumny, Jari Joutsenvaara, Md Ariful Islam, Helmut Mischo, Georg Meissner, Ossi Kotavaara, Catalina Vrabie

This study outlines implemented tactics and results for community empowerment through participation in questionnaire surveys, educational programs, and discussion on sustainable sourcing from new critical raw materials (CRMs) projects. Utilising questionnaire surveys, including the Public Participation Geographic Information System (PPGIS), the research gathered public opinions from Estonia, Germany, Poland, and Zambia, receiving 1,068 responses. These responses addressed various social, economic, and environmental issues related to CRM projects. Feedback from educational courses with participants from over 25 nations and public events provided additional insights. The collected data and feedback offer crucial input for advancing sustainable and responsible CRM sourcing strategies in these regions.

Feb 1, 2025

By W.A. van der Westhuizen

Mineral resource management has become a well used phrase in the mining and minerals industry. Mineral resource managers are being appointed in many mining and mining-related organisations. Every mineral resource manager has his/her own ideas regarding what MRM means. There seems to be a tendency to define MRM close to home; geology would apply MRM principles to their environment and so will metallurgy, planning, mining, survey and every discipline and participant in the mining value chain. What do we do in the MRM environment and what do we aim to achieve? Surely we must have goals: what are they? Is value tracking MRM? What about best practices? Let us start at the beginning: what do we want to achieve in any mining operation? The minerals industry would like to make money, now and in the future. This calls for serious management inputs. The most important aspect is a holistic management approach regarding the total mining value chain. Process optimisation follows with application of Mineral Resource Throughput Management (MRTM) and Process Flow Management principles. Once flow processes have been established the necessary condition driven standards and measurements will be installed to ensure continuity in applicable processes.

Jan 1, 2012

By M. Mikhaylenko

Rhenium, molybdenum and tungsten are the elements demanded by high-end technologies. These metals are found in process solutions in forms of their oxyanions: ReO4-, MoO42- and WO42-. The later two can exist in forms of iso- and/or heteropolyanions. Basically all three metals demonstrate very similar chemical behavior in aqueous solutions. Unfortunately, in their mineral sources these elements commonly accompany each other, like pairs of rhenium-molybdenum or molybdenum-tungsten. Their economical separation is a challenging task.

Jan 1, 2012

By O. W. Kamper

To most of you present here the word "refractories" is not new and you are familiar with the materials and use. To many people though the question is asked, "What are refractoriness and what are they used for?" Refractories are non-metallic products which are so resistant too melting at very high temperatures that they can be used for building or lining furnaces of all kinds. A large variation occurs in the size, form, and composition depending on the service for which they are intended. They are made from a wide variety of raw materials, of which fire clay and quartzite are used in largest quantities. Other refractory raw materials include magnesite, chrome, diaspore, bauxite, kyanite, sillimanite, olivine, zircon, and many others. Most of these are assembled from-widely-'separated points in the United States while others come from the far corners of the earth. Chrome is imported from the Philippines and South Africa, and, to a lesser extent, Turkey and Greece Kyanite and sillimanite come: from India and bauxite from the Guianas. And there's "magnesite from brines," produced in chemical plant's by treatment of sea water or inland deep-well brines with hydrated lime. The proportion of magnesia available in sea water is so small, less than one pound from 500 pounds of water,, that millions of gallons must be pumped and processed each day in a sea water magnesite plant. The realm of refractory raw materials, therefore, is very extensive and continues to grow because of the endeavor to find-better raw materials from which to produce better products for refractory service.

Jan 1, 1960