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By F. L. Marley

Small and medium-sized flotation plants with no assaying instrumentation still depend much upon the art of the operator to produce acceptable and consistent results. Improved performance can be accomplished by the use of the simple microscope set up as a control device. The visual recognition of products in the circuit does much to eliminate uncertain shift operating decisions and is an easy technique to acquire. Mineral staining methods further assist in the determination of components within the mill products. Simple mounting upon scotch tape and other adhesives is rapid and convenient. The microscope also has a practical role for the plant metallurgist or laboratory technician when evaluating middling products, and their routing within the circuit. Examples are reviewed where the microscope has been used for operational control in both sulfide and nonmetallic mineral flotation plants.

Jan 1, 1981

By Soumitro Nagpal

Bacterial oxidation of a pyrite-arsenopyrite-gold ore concentrate was carried out in .14-liter continuous-flow stirred-tank reactors (CSTR). Oxygen and carbondioxide consumption rates mineral dissolution rates, and bacterial concentrations were measured at various steady-state residence times and with 6, 11, and 16 wt.% solids in the feed slurry. A sharp optimum in biooxidation rate .was found at a residence time of approximately 40 hours for operation at each of the three pulp-densities. Biooxidation rates increased consistently. with increasing pulp density. Cell washout accompanied by negligible biooxidation rates was found to occur at a residence time of approximately 20 hours. Mineral' oxidation was found to be strongly dependent on bacterial activity. Arsenopyrite was found to be preferentially oxidized? at the higher Pulp densities.

Jan 1, 1991

By Patricio Barrios

In February 1996, ATLANTIC, COPPER completed the construction of a Project for Expansion and Environmental Improvements in its Smelter and Electrolytic Refinery located in Huelva. Following the expansion, the new operating concept is based on the simultaneous blowing of two converters, while increasing throughput in the Flash Furnace up to the level required to deliver matte to both converters. While the production level planned with the Project.(270,000 MTPY of copper from concentrates) was reached the following June, work since then has been carried out to optimize the new equipment .and to develop a new operating shedule. This paper describes operational experiences from the start up of the Expansion Project, difficulties encountered and operating improvements introduced, which have allow an increase of production levels up to 300,000 MTPY of copper.

Jan 1, 1998

By Markus A. Reuter

In this paper various hybrid modelling architectures are proposed for the modelling and metallurgical control of pyrometallurgical reactors. Discussed are architectures in which data reconciliation is combined by thermochemical, neural net and dynamic modelling to improve the models. At the same time the data reconciliation models can act as soft-sensors for estimating unmeasurable data. Cases that are discussed are (i) the modelling of a submerged arc furnace for the production of thermal phosphorous, (ii) the processing of Sn-Pb-Zn flue dust (originating from secondary copper) in a hearth furnace, (iii) modelling of a steel converter, and (iv) dynamic modelling of a flash smelter.

Jan 1, 2001

By Li Xi

This paper describes how a back-propagation neural network is built for predicting the properties of engineering materials from their other properties, compositions or processes. A predicted result of the impact toughness of a 12Cr-2Ni-1.5Mo stainless steel from its tempering temperature is presented. Furthermore, the combination of this neural network for prediction is able to supplement the unpredictability of the expert system outside its domain of expertise. An integrated system may perform more intelligently and solve more complex problems as well as human expert, in some case even better.

Jan 1, 1992

By D. P. Cook, M. I. Bloch, J. A. Dantzig

"In this article, we describe a combined experimental and computational program to study the filling of automotive wheels during low pressure die casting. Experiments are performed by placing thermocouples into the mold walls of a production caster for the Ford F 113 wheel to measure the temperature profiles in the die during processing, and to infer the filling pattern. Computational models are also developed using a 36° section of the wheel pattern, taken directly from CAD data files. We use these models to simulate the filling and heat transfer processes. Comparison between experimental and computational results are presented, demonstrating the viability of this procedure.IntroductionAutomotive companies are using increasing amounts of aluminum in production vehicles: While the main driving force is improved fuel economy through weight reduction, replacing steel wheels by aluminum also offers the potential for improved vehicle performance by reducing unsprung mass. For these reasons, many new vehicles are now supplied with cast aluminum alloy wheels, and the aftermarket for these wheels continues to grow.The most common production process for these wheels is low pressure die casting. The process is subject to numerous defects, including microporosity, cold shuts, cold folds, misruns and inclusions. Scrap rates at the caster of the order of 10% are not uncommon. Many wheels also have large production runs, into the hundreds of thousands of wheels per year. Thus, the cost savings from even small reductions in scrap rate have the potential to be quite significant.Most of the defects are associated with the filling and solidification processes in the mold. The molds are air cooled, and the placement and sizing of cooling passages is currently as much art as science. The ultimate goal of this project is to improve that situation, by implementing simulation procedures that enable engineering design methods to be used in die and process specification."

Jan 1, 2000

By Nils Lippmann, Ulrich Weber, Siegfried Schmauder, Jr. Mishnaevsky

"A computational approach to the optimization of fracture resistance of multiphase materials (here - high speed steels) by varying their microstructure is presented. The main points of the optimization of steels are as follows: (1) development and verification of the model: numerical simulation of crack initiation and growth in real microstructures of steels, (2) computational experiment: simulation of crack growth in different idealized quasi-real microstructures and (3) the comparison of fracture resistances of different microstructures and the development of recommendations to the improvement of the fracture toughness of steels. Numerical simulations of crack growth in real microstructures of steels and different idealized carbide distributions are carried out. On the basis of the simulations, recommendations for the improvement of high speed steel microstructures are given. It is shown that the fracture resistance of the steels is much higher for the fine than for the coarse version of the same type of microstructures.IntroductionThe purpose of this work is to develop an approach to the optimal design of multiphase materials on the basis of numerical simulation of their behaviour under mechanical loading. We suggest here the following strategy:1. Collecting input data for the simulations: taking a micrograph of a microstructure, and determining mechanical properties and failure conditions of the material constituents [1, 2],2. Simulation techniques and assumptions are tested for a real microstructure of the material: crack growth in a real microstructure is simulated and then compared with the experimental data,3. Computational experiments: different microstructures of materials are tested in the numerical model under the same loading conditions. The calculated service properties of the different microstructures are compared, and recommendations are developed. As differentiated from the ""real"" experimental techniques, the computational experiment is much cheaper and not labor- and time-consuming."

Jan 1, 2001

By Tracey Brommer, Britt Elin Gihleengen, Elsa Olivetti, Randolph Kirchain

"Increased demand resulting from the economic and environmental advantages of recycling secondary materials has constrained secondary material supply. As a result of constrained supply, the conventional strategy to maximize recycled content in an individual aluminum alloy must be expanded to maximizing total recycled content in a given production period. This work compares the performance over a two week period of an actual remelter for two strategies; a sequential charge-by-charge optimization framework and an integrated approach that explicitly incorporates the production schedule. Optimizing across the entire two week production is found to increase recycled content and minimize primary and alloying material additions. It is expected that as the scrap material market continues to be constrained by high demand, longer term batch planning strategies that can optimize material allocation will deliver improved performance.IntroductionIntensifying economic and environmental pressure to incorporate secondary aluminum into products is pushing remelters to explore additional strategies and tools to increase recycled content. Aluminum remelters are exploring alternative sources of secondary materials because of constrained secondary material supply and relatively high primary and secondary material cost [1]. Computational models, such as blending models are a tool that could help industrial remelters mitigate supply and cost challenges and thereby increase recycled content. In particular, computational tools can help manage the incorporation of new raw materials of variable quality. Blending models find many industrial applications and have been explored for over sixty years originating with the classic nut-mix problem dating back to 1950’s [2]. Blending models optimize the raw material input to make a desired product subject to a series of constraints such as product specifications and material availability. Deterministic and linear blending model formulations are presently implemented in some industrial aluminum remelters [3]. The primary reluctance of aluminum remelters against computational model implementation is the incapability of their blending models to reflect the intricacy of industrial remelting conditions [4]. For example, to reduce calculation time, industrial aluminum blending models usually optimize a batch plan for a single alloy and are not formulated to optimize several products simultaneously. Since such a model does not include knowledge of subsequent charges in the optimized batch plan, the resulting batch plans tend to deplete the “cleanest” secondary materials leaving the more uncertain and compositionally challenging materials for later charges. As a result, a remelter may override the calculated batch plan or leave certain scrap materials out of the material input to conserve these materials for alternative products scheduled for later production. This work explores an alternative aluminum charge planning tool that can optimize across an extended production schedule and compares it to a heuristic sequential optimization strategy reflecting an industrial remelter."

Jan 1, 2012

By K. E. Gonsalves, G. M. Chow

"Nanostructured powders (particle diameter of 1 - 100 nm) have uses in electronic, magnetic, structural, thermal applications as well as advanced processing of materials. Among many methods of making nanostructured powders, chemical routes offer many attractive features such as feasibility of cost-effective bulk quantity production, design of chemistry at the molecular scale, and chemical homogeneity of the powders. In this talk, two systems of chemically synthesized nanocomposite powders are presented, namely, granular magnetic materials of Fe-Cu and Co-Cu, and thermal-structural materials of AIN-BN. Synthesis and processing, characterization and properties of these materials are discussed.IntroductionNanostructured powders (particle diameter of 1 - 100 nm) are attractive materials because of many useful properties (e.g. catalytic, optical, magnetic etc.) and processing advantages (e.g. lower sintering temperature) [1]. There are many methods of making nanostructured powders, for example, physical and chemical vapor deposition, mechanical attrition, and solution chemistry [1, 2]. A common method of making composite powders involves the grinding, mixing and blending of constituents powders, but it has the limitation of inhomogeneous mixing. Chemical routes have many useful features. Using solution chemistry, precursors can be molecularly tailored and homogeneously mixed at the molecular level. The chemical approach may result in better properties of the final product. Compared to vapor-phase fabrication techniques, chemical routes are more cost-effective in producing large quantity of material. In addition, control of particle size, size distribution and stabilization of the nanoscale particles against agglomeration can be more effectively manipulated via solution chemistry.In this paper, we present an overview of some of our work in nanocomposite powders prepared by solution chemistry. Metallic systems of FeCu and Co-Cu, and ceramic system of AIN-BN are discussed. The powders were characterized using x-ray diffraction (XRD) , scanning electron microscopy (SEM), conventional and high resolution transmission electron microscopy (TEM, HRTEM), vibrating sample magnetometry (VSM), inductively coupled plasmaatomic emission spectroscopy (ICP-AES)."

Jan 1, 1994

By Jiao Li, WenhuiMa, KuixianWei, YongnianDai, Cong Zhang

The paper studied the diffusion process of nitrogen and characteristic distribution of iron impurities in the bottom of cast crystalline silicon ingot along the direction of crystal growth. According to the dynamics analysis of the decomposition of Si3N4 coating, the diffusion process of nitrogen into multicrystalline silicon ingot during casting process should be divided into three steps. The diffusion length of nitrogen in multicrystalline silicon ingot is 700 μm. The results of EDS analysis indicate that the distribution characteristic of iron in multicrystalline silicon ingot is concerned with the diffusion process of nitrogen in this length. Based on the above research results, the distribution model of iron in casting multicrystalline silicon ingot was established and verified by the experimental results.

Jan 1, 2015

Conventional ferronickel smelting has five main steps: Drying, calcination, prereduction, smelting and refining. In the scope of the current work, smelting experiments were conducted using Sivrihisar laterite ores (1.26% Ni) of Turkey. The ore samples previously subjected to drying, calcination and prereduction stages were smelted in alumina crucibles in a laboratoryscale horizontal tube furnace under argon atmosphere. Smelting experiments were performed at 1500, 1550 and 1600 oC. The amount of excess coal used in prereduction step was another variable. Sivrihisar laterite ore is a limonitic one with low MgO composition. Therefore, MgO was added to the smelting charge as a flux. The effects of experimental variables on metal Ni content and slag composition were investigated.

Jan 1, 2012

By M. A. Kader, M. A. Islam, P. J. Hazell, M. Saadatfar, J. P. Escobedo, A. D. Brown

The dynamic pore collapse mechanisms and energy absorption capacity of closed-cell aluminium foams subjected to low velocity impacts have been investigated. Impact experiments were carried out using an instrumented drop-tower with two impactor geometries: a 50 mm square flat steel impactor to investigate pore collapse mechanisms and a 20 mm diameter hemispherical steel impactortostudy indentation resistance.X-ray computedtomography was utilized to generate views of the deformation field within the impacted specimen. The results show that the strain rate and incident impact energy influence the energy absorption capacities of closed-cell aluminium foams. Furthermore, damage initiation, propagation and cell collapse mechanisms under drop weight impact have been elucidated.

Mar 1, 2017

By E. S. Geskin

"This paper is concerned with the construction of a formal technique for the selection of a metallurgical technology. Exergy consumption is used as the criterion of process efficiency. Different items of the exergy balance are considered and techniques for the reduction of exergy consumption are determined. The selected techniques of exergy saving enable us to identify processes which should be used at different stages of steelmaking. The combination of the selected processes enables us to suggest a technology for conversion of iron ore into steel products. The selection of this technology narrows the range of further search of metallurgical processes. The paper shows that qualitative thermodynamic analysis can be used as the first step in the design of metallurgical processes. IntroductionThe existing processes for making, shaping and treating of steel enable us to convert the available iron bearing ores into marketable steel products. However, the energy cost of metal production is much higher than thermodynamically required, while the metal properties are much lower than thermodynamically available. Increasing cost and declining availability of energy and raw meterials make the creation of new steelmaking technologies imperative. In recent years, the number of novel processes for the making, refining, and shaping of steel have been suggested and tested. Some found a practical application. However, the tested technologies make up a small portion of the physically available routes for the conversion of iron ore into a marketable product. It is also not evident that the optimal routes have been tested and that the selected technologies are the best among those tested.Although the development of new metallurgical technologies must be based on the experimental and practical information, the number of the alternative routes for the making, shaping and treating of steel, as well as the cost of examining each single route, make necessary the use of analytical techniques for the evaluation of the possible ways of process development."

Jan 1, 1988

By R. Nilsson

In the present work the sulphide capacities of Ca0-Mn0-Si0, ternary slags have been measured in the temperature range 1798 - 1873 K by equilibrating the slag with a gas-mixture containing CO, CO,, SO, and Ar. The results are compared with the data reported in literature. A theoretical model has been developed in the present work where the sulphide capacity is expressed as a function of the slag composition and temperature. The model enables the estimation of sulphide capacities of complex slags with a knowledge of the capacities of simpler systems.

Jan 1, 1994

By Richard D. Hagni

Process mineralogy has not been given adequate attention in years past, because geologists have not been sufficiently interested in applying mineralogical techniques to industrial processes, and most process engineers are not adequately trained to use them. Although some individuals and institutions have made efforts to improve the situation, it is only in the last few years that the significance of applying the methods of mineralogy to a wide variety of industrial processes has been fully appreciated. Presently, the formation and organization of several groups devoted to applied mineralogy have created a more amenable climate for the development of process mineralogy. As a result, the presentation, discussion, and publication of the results and case histories of process mineralogy have become fairly common. Short courses affording hands-on experience with applied techniques are now available to the many geologists and process engineers engaged in industrial mineralogical processes. The future role of the process mineralogist is viewed as an expanded one, which will increase in value.

Jan 1, 1982

By Run-boWang, Fan-yi Meng, Jian-Liang Zhang, ZheWang

To elucidate the influence of high Al2O3 content on sinter softening and melting behavior, heating-up reduction test under load was carried out. In addition, microstructure study of sinter bed structure change at a different temperature was also made and the mechanism that the effect of Al2O3 content on sinter softening and melting property was discovered. SEM results showed that the increase of Al2O3 content favored the formation of Al2O3-rich slag phase, such as the eutectic (2CaO·SiO2-2CaO·Al2O3·SiO2-FeO) and gehlenite (2CaO·Al2O3·SiO2), resulting in the decrease of sinter Ts temperature. Further, high Al2O3 content improved the concentration of metallic iron and lowered the dripping temperature due to the decrease of slag liquidus temperature and viscosity. At a fixed basicity, it was indicated that there was a relationship between Al2O3 content and sinter softening-melting property. Based on the results, counter strategies to cope with the adverse effect of high Al2O3 content on the cohesive zone property were also proposed. It could provide guidance for the blast furnace operation of sinter with high Al2O3 content.

Jan 1, 2015

By Bin Xu, Qian Li, Xiaoliang Liu, Yongbin Yang, Tao Jiang, Yan Zhang

The cohering behavior of iron ore pellet powder in kiln cannot be reflected entirely through the conventional briquetting method, so a novel natural stacking method was proposed in this paper. The results showed that in the two methods the cohering strength of powders from different iron ore pellets (numbered A, B and C) rose with the increase of roasting time and temperature andpresented the same result, i.e., C > B > A. Comparatively, the natural stacking powders obtained much lower cohering strengths under the same roasting condition. The structure analyses of ring from the kiln tail and cohering briquette by the natural stacking method indicated that the occurrence of crystallized particles of them were extremely similar. Therefore, the initial information of pellet powder’s cohering behavior could be provided by the natural stacking method, improving the methods to study the actual ringing process and mechanism of pellet powders in kiln.

Mar 1, 2017

By A. G. Jackson, Mark D. Benedict, Steven R. LeClair, Yang Cao, David M. Conrad

"Electronic Prototyping (EP) represents a new and powerful medium that many in science and technology view as the research paradigm of the future. Actually, EP has many handles, sometimes referred to as simulation-based design involving more long term objectives such as virtual reality, but regardless of the 'spin', the direction of EP is an enhanced visual paradigm to enable a new set of tools for engineers and scientists alike. Tools to not only automate, visualize and compute otherwise intractable problems but to enable augmentations of our ability to perceive that which is interesting and new -""a virtual version of a process"" [1] prodding us on the pathways of materials and process discovery.IntroductionActually there are many reasons to apply sensors to materials, such as smart or adaptive materials/structures, and new materials synthesis/processing [1], only some of which are motivated by improved product quality and/or productivity. Although U.S. Air Force applications of sensors to materials processing represent but one of many perspectives, hopefully it is a perspective which will engender new ideas and insights in addressing future challenges in materials research. To provide context and establish need for future sensor applications in materials processing, we will utilize on one of several Air Force vistas or '21st-Century' objectives."

Jan 1, 1997

By Animesh Jha

Univariant diagrams are constructed for the reduction of nickel and cobalt oxide and sulphide minerals. The results from the carbothermic and hydrogen reduction of sulphide minerals are compared. The importance role of lime and calcium sulphate in controlling the emission of sulphurous- gases during reduction reaction is also explained. The mechanism of carbothermic reduction of nickel sulphide is explained by examining the sulphur exchange and reduction reactions. The phase equilibrium relationships that determine the formation of multicomponent liquid are characterised. Also the governing equilibria for inert atmosphere calcination- roasting of nickel and cobalt sulphide minerals are also described for the metallization of nickel and cobalt.

Jan 1, 1993

By Jesse White, Arlin Olson

"An Engineering Scale Technology Demonstration (ESTD) unit utilizing the THOR fluidized bed steam reforming technology was built and operated by Hazen Research, Inc. for the purpose of denitrating and solidifying various Department of Energy (DOE) radioactive tank waste surrogates into granular products. The ESTD offered the opportunity to investigate the operational characteristics of two fluidized beds in series to test process system designs such as those for fluidization, feeding, and product collection. Operational characteristics that were evaluated included bed attrition rate, particle growth, and elutriation; and the effects that variations in process parameters (e.g., fluidizing gas flow rate, feed composition, feed injection method, and gas distributor design) had upon these characteristics were observed. Testing of the process systems on this scale allowed for design changes to be made where the cost in time and money were significantly less by comparison to those same modifications being made on the commercial scale.IntroductionFluidized bed steam reforming (FBSR) offers a moderate temperature (620-750°C) continuous method by which various liquid wastes can be processed irrespective of whether they contain organics, nitrates, sulfates/sulfides, chlorides, fluorides, volatile radionuclides or other aqueous components. The FBSR technology has exhibited the potential to process these wastes into either a carbonate or crystalline ceramic (mineral) granular product.Pilot scale testing was performed using the THOR Treatment Technologies, LLC (ITT) FBSR process, as it offered the opportunity to evaluate multiple aspects in an environment more conducive to experimentation. Process changes and system modifications could be made faster and with less cost impact as compared with changes to an assembled commercial plant. These aspects include verification of process chemistry and kinetics, evaluation of materials of construction, equipment sizing and design, and the interactions of the systems. Evaluation of process chemistry allowed for the verification of thermodynamic and kinetic models, and was used in conjunction with these models to improve the database and modeling assumptions. It also allowed for the reevaluation of data from earlier bench scale testing with the opportunity for long-term operations. These long-term effects may include the buildup of one or more elements that results in the formation of eutectics leading to the destabilization of a fluidized bed, or the shift in particle size as a result of attrition or agglomeration. The pilot plant also provided an environment to evaluate materials of construction."

Jan 1, 2014