Mineral processing (Chemistry)

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Applying an integrated fuzzy gray MCDM approach: A case study on mineral processing plant site selection

Applying an integrated fuzzy gray MCDM approach: A case study on mineral processing plant site selection

in Turkey [1]. Safari et al. employed AHP to select a mineral processing plant site in Phase I of Sangan iron ore mine [14]. Furthermore, they utilized fuzzy TOPSIS to select the appropriate site for a mineral processing plant in case of Sangan mine Phase II [15]. Choudhary and Shankar used fuzzy TOPSIS AHP to select a thermal power plant site in India [16]. Mousavi et al. utilized an integrated Delphi AHP PROMETHEE method to find a plant site [17]. Sriniketha et al. utilized AHP and PROMETHEE II to select an optimal location of the facilities [2]. Asakereh et al. used a fuzzy AHP in geographical information system (GIS) software environment to select the most suitable sites for solar energy farms in Iran [18]. Azizi et al. used a combination of ANP and DEMATEL in GIS software environment to select the location of a wind power plant in northwestern Iran [19]. Sozen et al. developed a DEA-based model combined with TOPSIS to find the optimal location of solar plants in various regions of Turkey [20]. Singh developed an extent fuzzy AHP based approach to select the best geographical locations of facilities under a real time process [21]. Sindhu et al. utilized fuzzy TOPSIS and AHP to select the suitable location of a solar farm in India [22]. Lee et al. developed an MCDM model by use of VIKOR, fuzzy ANP, and the interpretive structural modeling to select the optimal location of the photovoltaic solar plant and applied it to a case study in Taiwan [23]. Bakhtavar et al. represented a mathematical model by use of fuzzy-weights and integer goal programming to select the optimal location of a dimension stone processing plant for adjacent small-scale dimension stone quarries [24].
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Nuclear instruments in mineral processing

Nuclear instruments in mineral processing

9.2 Geiger Muller tubes 101 energy radiations a fragile thin window type is usually employed. Tubes designed for higher radiation energy levels such as gamma rays, commonly have no window and rely on the interaction of gamma rays with the cathode wall. Due to use at higher energy levels GM tubes installed in mineral processing applications have efficiencies in the low percentages. Bismuth with an atomic number of 83 has been a popular choice for the cathodic material, as the likelihood of gamma ray interaction with a tube’s walls is increased with an increase in the wall material’s atomic number. Notably as the energy level decreases the efficiency of the GM tube increases. Taking the aforementioned into account, GM survey meters are often used to indicate exposure and therefore calibration must match the source of radioactivity; this is due to the fact that even though unlike sources may have similar activities, differing emission energies occur from unlike isotopes.
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Fundamental Study on Recovery of WC from Hardmetal Sludge by Using Mineral Processing

Fundamental Study on Recovery of WC from Hardmetal Sludge by Using Mineral Processing

In this study, hardmetal sludge was used which produced from processing of hardmetal tools. The hardmetal sludge contains ultrafine tungsten carbide of less than 100 nm. As a fine particle processing technique, froth flotation is well known and widespread in mineral processing to improve the recovery of valuable fine mineral particles within the diameter range of about 10 to 100 mm. But ultrafines of less than 10 mm become difficult when colliding with air bubbles, attributed partly to the existence of an energy barrier in the vicinity of the air-water interface. 5,6) Therefore, a series of
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The mineralogical and textural characteristics of copper gold deposits related to mineral processing attributes

The mineralogical and textural characteristics of copper gold deposits related to mineral processing attributes

The influence of rock texture in mineral processing behaviours has been recognized as an important factor by many authors (Vink, 1997; Petruk, 2005; Bojcevski, 2004; Grupta and Yan, 2006; Wills and Napier-Munn, 2006; Becker et al., 2008; Bonnici et al., 2008; Hunt et al., 2008; Pirard et al., 2008; Triffett and Bradshaw, 2008; Walters, 2008). The mineral processing behaviours considered were; comminution (crushing and grinding), liberation, flotation, and smelting (see section 2.5.3). However, it has only been since the development of automated microscopy systems and the implementation of image analysis software that textural attributes have been able to be quantified at the various stages of mineral processing (Gu, 2003; Gottlieb, et al., 2000). In the past, a number of studies have investigated the influence of various aspects of texture on mineral processing behaviours. Veasey et al. (1989) and Ramadorai et al. (1991) have used the mineralogy of ore types to identify potential metallurgical problems such as abundances of deleterious elements and clay minerals. Various authors have recognized the relationship between grain size and mineral liberation (Craig and Vaughan, 1981; Jones, 1987; Ferrara et al., 1989; Gaspar and Pinto, 1991; Leigh, 1993). Triffett and Bradshaw (2008) used the quantified analysis of shape to distinguish between two different generations of molybdenite that exhibited different flotation characteristics.
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High molecular weight polymer flocculation treatment of waste water and sludge from mineral processing plants

High molecular weight polymer flocculation treatment of waste water and sludge from mineral processing plants

Even though the choice method of waste water and sludge impoundment in settling ponds by mineral processing and metallurgical plants, chemical manufacturing, pharmaceutical and textile mills in Nigeria has not fully helped in the recovery of valuable minerals and metals, nor the water associated with it. Yet is very unfortunate that only few plant in Nigeria use the impounding and settling ponds; and where these are constructed, they occupy very large area of land which are afterward difficult to be reclaimed and pose environmental hazard such as breeding of ecologies like bacteria, mosquitoes (carrier of malaria parasites) and host of others. In the industrial cities like Lagos and Port Harcourt, industrial effluents are often seen, running into the street waterways, while very small quantities are channelled for treatment by the companies concerned. The result of a work done on the treatment of stream water and sludge (effluents) collected from a sand mining deposit and some mineral processing plants using high molecular polymers (HMP) as flocculants is being reported in this paper. The water samples were treated with common conventional dewatering methods such as the use of lime and bentonite. High molecular polymers such as Nalco 7191 ® and PEO ® were also used to dewater these waste effluents. With the use of 0.02g/l PEO, 0.07g/l Nalco 7191 ® and 0.05g/l Percol 351 ® , the water clarity and % dewatering were brought to 88, 16, 280 NTU and 55%,
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Water Quality Protection Guidelines No. 5. Mining and Mineral Processing. Minesite water quality monitoring

Water Quality Protection Guidelines No. 5. Mining and Mineral Processing. Minesite water quality monitoring

Monitoring of minesite water quality is an essential part of the environmental management of a mining and mineral processing operation. It enables water quality and chemical containment performance to be assessed. Undesirable impacts can thus be detected at an early stage and remedied.

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Development of a Dynamic Population Balance Plant Simulator for Mineral Processing Circuits

Development of a Dynamic Population Balance Plant Simulator for Mineral Processing Circuits

Operational variables of a mineral processing circuit are subjected to different variations. Steady-state simulation of processes provides an estimate of their ideal stable performance whereas their dynamic simulation predicts the effects of the variations on the processes or their subsequent processes. In this paper, a dynamic simulator containing some of the major equipment of mineral processing circuits (i.e. ball mill, cone crusher, screen, hydrocyclone, mechanical flotation cell, tank leaching and conveyor belt) was developed. The dynamic simulator of each mentioned unit was also developed according to population balance models with the help of MATLAB/Simulink environment and was verified against the data from the literature. Comminution and separation sections were linked using empirical models which correlate the separation and extraction kinetics to particle size. Applying the developed simulator, the dynamic behavior of a grinding-leaching circuit was analyzed and the results showed that such simulations are required for both designing and controlling the circuits.
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Application of data analytics and knowledge-based systems in mineral processing

Application of data analytics and knowledge-based systems in mineral processing

In summary, the common theme of my research revolves around the exploitation of data and knowledge in various forms towards an improved understanding and automation of mineral and metallurgical processes. These advances have been driven partly by developments in other fields and technology transfer from other disciplines played a pivotal role in my research efforts. This included disciplines such as pattern recognition, data mining, artificial intelligence, modelling of evolutionary systems and artificial life, machine learning, etc. For example, while the use of artificial neural networks in engineering started to become widespread in the late 1980s, they were not established in the mining and metallurgical industries in the early 1990s yet, when I had considered their application in mineral processing. The same goes for other data analytical methods, which the mineral process industries have been slow to adopt, despite their apparent promise as data analytical and process systems tools.
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Processing of solid wastes from mines, mineral processing and metallurgical plants-a conceptual case study of small size iron-steel industry, Ballari area , Karnataka, India

Processing of solid wastes from mines, mineral processing and metallurgical plants-a conceptual case study of small size iron-steel industry, Ballari area , Karnataka, India

The case studies of processing of low grade iron ore fines from iron ore mines, processing of iron ore beneficiation plant tails have been discussed where in the pellet grade concentrate was produced at 87.5 wt% of ROM. This indicated that the low grade mine dumps and plant tailing quantum can be reduced to 25 and 50% area respectively reducing waste management cost, besides generating value earning concentrates and hence is being industrially implemented. Proper characterization of wastes in secondary steel unit and processing has led to increasing the reuse by 50% from base level. Tunnel kiln brick making using clayey wastes from iron ore mines - silts from tank beds, reprocessed plant tails and solid wastes from DR plants has led to nil waste sustainable process where all the wastes from mine, mineral processing plant tails and solid wastes from DR Iron plants from Ballari area, Karnataka, India, are used.
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The Innovative Study of the Function of Bilingual Teaching in Cultivating Professional Talents of Mineral Processing Engineering

The Innovative Study of the Function of Bilingual Teaching in Cultivating Professional Talents of Mineral Processing Engineering

The teaching materials play an important role in teaching. Students can grasp the professional knowledge of the discipline by reading the textbook under the guidance of the teacher. For Chinese students, it is very easy to find the Chinese version of the teaching materials for the native language teaching, while it is very difficult to have a foreign language teaching materials for the bilingual teaching. In fact, even in the developed countries, not everyone has the teaching materials. Due to the high price, the purchase of teaching materials is entirely voluntary behavior of students, and foreign original teaching materials for Chinese students, although the scientific, systematic and coherent are guaranteed, the language is relatively difficult for undergraduate students and the teaching materials content is too professional[9]. In particular, there are very few teaching materials can really be used as the undergraduate mineral processing talents cultivating. They want to teach bilingual courses well for teachers, but there is no one in line with China's mineral processing cultivating talents syllabus and excellent English teaching materials. Therefore, the teachers in our school compile lecture sheets in themselves based on the reference of the excellent original textbooks, the latest research works and the high quality Chinese textbooks, and organize the high level of English teachers to check the language. In this way, it can not only control the difficulty of the teaching materials according to the actual situation of the students, but also select the teaching contents according to the characteristics of the mineral processing. At the same time, teachers should pay attention to broaden students' horizons, take into account the practicality and advance of teaching materials and give students space to study after class to make up for the loss of some of the poor English in class, and try to make different levels of students adapt to bilingual teaching. At present, the implementation of bilingual teaching is only in the new progress in mineral processing on account of bilingual teaching starting late in professional course in our school. Teachers grasp fuzzy on the bilingual proportion and teaching objectives are not clear. This situation has a negative impact on the smooth development of bilingual teaching. Therefore, we will further improve the system of students' professional knowledge structure by improving the syllabus of bilingual teaching, clarifying the teaching objectives, establishing the proportion of bilingual teaching and making bilingual teaching carried out in a reasonable and orderly way.
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DATABASE INFORMATION SYSTEM FOR THE RESULTS IN MINERAL PROCESSING

DATABASE INFORMATION SYSTEM FOR THE RESULTS IN MINERAL PROCESSING

In mineral processing we use information technology and computer mostly like text processor, spreadsheet calculator or for graphical presentation for datas of analysis. We store this datas in various formats on disk (doc, xls, etc.) in format not applicable for searching this datas like: author of analysis, name of sample, type of sample, type of analysis, date of analysis, keywords, etc.

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Improving the performance of causality analysis techniques for automated fault diagnosis in mineral processing plants

Improving the performance of causality analysis techniques for automated fault diagnosis in mineral processing plants

The online consequential alarm identification results could be used to identify typical alarm patterns. These patterns could be saved offline. When a new alarm sequence matches one of the saved patterns, a single alarm for the known root cause can be triggered, instead of triggering all the alarms in the pattern. In this way alarm flooding can be reduced[Yang et al., 2014]. By taking into account time lags between alarm variables, Yang et al. [2012] generated a cor- relation colour map of the alarm data to show clusters of alarms strongly correlated with each other. They found that this was useful to identify redundancy in the alarm network and alarm settings could be improved. The application was demonstrated on an industrial case study of a hydro-treater process in a refinery. Zhang et al. [2018] demonstrate the use of causality analysis for consequential alarm identification. This application was to analyse alarms of high central processing unit (CPU) utilisation in a computing network, as opposed to alarms from an indus- trial process. However, the application can be extended to different types of alarms. Hu et al. [2017] investigated the use of causality analysis techniques to determine cause-effect in alarm data. the application was demonstrated on data from an industrial oil plant.
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Professional Geology, XRF, Mining & Mineral Processing Engineering Services

Professional Geology, XRF, Mining & Mineral Processing Engineering Services

Norman has more than 30 years’ experience in Exploration, Mine Design, Operation and Project Management of Open pit and underground hard rock Mining.. Some of his experience include b[r]

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A Method to Justify Process Control Systems in Mineral Processing Applications

A Method to Justify Process Control Systems in Mineral Processing Applications

A method was proposed to evaluate the impact of installing a control system either by a reduction of difference between concentrate target quality and operating quali[r]

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Optimization Control of Mineral Processing and Crushing System Based on Neural Network PID

Optimization Control of Mineral Processing and Crushing System Based on Neural Network PID

The crushing production process is the primary part of the entire beneficiation process. It undertakes to separate the raw ore collected from the primary crushing process so that the ore can meet the particle size requirements required for other processes in the subsequent beneficiation process[1].In the process of crushing production, in order to maximize the crushing efficiency of the crusher, controlling the mineral material level of the mineral material in the crusher is the most important control point in the whole crushing process control system, and it is also an important guarantee for the normal production process of the crushing process. If the material level is too high, it will easily cause the accumulation of mineral materials, and it will also easily block the crusher, and it is difficult to reach the particle size requirement of the broken ore. If the level is too low, the crushing output will decrease and the production output will be affected.
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Applications of solid state chemistry to minerals and mineral processing

Applications of solid state chemistry to minerals and mineral processing

The third category of publications concerns fundamental studies using crystallography, phase equilibria and electron microscopy/microprobe techniques to directly support applied research[r]

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Mineral Industry in Egypt Part I: Metallic Mineral Commodities

Mineral Industry in Egypt Part I: Metallic Mineral Commodities

along with 980 t/y of tin metal during the first 20 years of production. The technical information about this joint venture is tabulated in Table 4, which presents the re- serves in the close by locations in Abu Dabbab Valley. These reserves are large enough compared with similar worldwide Tin-tantalum-niobium ores in the world. It is now in the stage of development and site preparation [80]. It is planned that the ore will be mined by a surface min- ing technique. The capacity of the mineral processing units will be of about 2 million tons/year. The processing plant will consist of a size reduction section (crushing and grinding using jaw crushers, and a SAG mill), flota- tion, and magnetic separation followed by a dewatering system to produce concentrations of tin and tantalum- niobium oxides products. The Ta-Nb Product will be used to produce Ta-Nb ferroalloys, Ta oxide, Nb oxide, and ferroniobium alloys [80]. The 40 Mt Abu Dabbab project is owned by the Egyptian registered company Tantalum Egypt,in which Gibbsland has a 50% interest by way of an incorporated joint venture with the Egyptian Government.
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Mineral Resources

Mineral Resources

Mineral Resources SMU Law Review Volume 36 Issue 1 Annual Survey of Texas Law Article 7 1982 Mineral Resources Eric T Lalty Follow this and additional works at https //scholar smu edu/smulr This Artic[.]

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Mineral Resources

Mineral Resources

Mineral Resources SMU Law Review Volume 35 Issue 1 Annual Survey of Texas Law Article 6 1981 Mineral Resources Fred N Diem Eric T Laity Follow this and additional works at https //scholar smu edu/smul[.]

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Mineral Resources

Mineral Resources

Mineral Resources SMU Law Review Volume 34 Issue 1 Annual Survey of Texas Law Article 6 1980 Mineral Resources Fred N Diem Eric T Laity Follow this and additional works at https //scholar smu edu/smul[.]

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