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Topic Review
Machine Learning Applications in Failure Predictions
Machine Learning (ML) is a subclass of artificial intelligence (AI) that can be defined as a semi-automated system in which computers create an algorithm by learning from observed data. Machine learning algorithms create a model based on training data and use it to make predictions or judgments without having to be explicitly programmed to do so. In recent years, decision makers and the scientific community have paid close attention to the use of machine learning in risk and reliability assessment. Currently, quite a good amount of work is being carried out in mine equipment failure and reliability assessments and predictive maintenance analysis. A machine learning approach can be used for predicting failures and also to identify important parameters that predict failures.
  • 2.5K
  • 09 Sep 2022
Topic Review
Recycling and Reuse of Mine Tailings
Mining is an important industry, accounting for 6.9% of global GDP. However, global development promotes accelerated demand, resulting in the accumulation of hazardous waste in land, sea, and air environments. It reached 7 billion tonnes of mine tailings generated yearly worldwide, and 19 billion solid tailings will be accumulated by 2025.
  • 1.7K
  • 02 Sep 2022
Topic Review
Large-Scale Li-Ion Battery in Mining Industry
The lithium-ion battery (LIB) has the advantages of high energy density, low self-discharge rate, long cycle life, fast charging rate and low maintenance costs. It is one of the most widely used chemical energy storage devices at present. The safety of LIB is the main factor that restricts its commercial scalable application, specifically in hazardous environments such as underground coal mines.
  • 1.1K
  • 07 Jun 2022
Topic Review
Thionocarbamates in Copper Slag Flotation
Thionocarbamates are the group of collectors that are mostly used for flotation of sulphide copper minerals, alone or in combination with xanthates depending on a mineralogical composition of the ore. Collectors are a group of reagents used in flotation for enhancing hydrophobicity of wanted minerals. They are organic compounds which are being adsorbed on surfaces of desired minerals, thus making them hydrophobic, reducing the stability of the hydrated layer separating the mineral from the air bubble to such extent that attachment of the particle to the bubble can be made, i.e., collectors reduce the induction time. Another purpose of collectors is to provide selectivity of minerals with similar floatability properties.
  • 653
  • 31 May 2022
Topic Review
Relationship Between Rock Textural Characteristics and Mechanical Properties
The textural characteristics of rocks influence their petrophysical and mechanical properties. Such parameters largely control rock mass stability. The ability to evaluate both immediate and long-term rock behaviors based on the interaction between various parameters of rock texture, petrophysical and mechanical properties is therefore crucial to many geoengineering facilities. The mechanical properties of a rock largely depend on its petrographic or textural characteristics. Some quantitative associations between rock petrographic characteristics and mechanical properties have been found. Therefore, the effects of these relationships on the mechanical characteristics of rock, and their extents, must be well understood as a proper frame of reference if good rock cores are unavailable for reliable tests intended to characterize rock mass.
  • 1.6K
  • 19 May 2022
Topic Review
Environmental Management Strategies in Mining Industry in Chile
Sustainable development in the mining industry is a critical concern for companies because it covers multiple environmental, social, and economic approaches. The principal aim of sustainable development is to find the equilibrium between environmental, social, and economic aspects to maintain the system’s stability. In this sense, defining mining sustainability is a complex task because of the multidimensional definition of sustainability. However, the primary concern of the environmental sustainability of the mining industry is to avoid and reduce environmental impact at different stages of the mining life cycle, where the mining industry needs to anticipate possible negative effects that its operations may generate. The mining industry faces diverse challenges to maintain sustainable production, particularly regarding critical water and energy supplies. As a significant player in the copper mining industry, Chile has become a global reference. The most prevailing strategies involved implementing Environmental Management Systems, which allow organisations to define, implement, and track their specific goals and standards.
  • 959
  • 28 Apr 2022
Topic Review
Factors envolved in Coal Slurry Flocculation Process
Coal slurry is a mixture of finely grained coal and other minerals suspended and/or sediment in the water, generated during the coal preparation processes, accounting for more than half of mining operating cost. Dewatering technology is simultaneously confronted with obstacles and possibilities, and it may yet be improved as the crucial step for reducing the ultimate processing cost. Coagulation/flocculation is a process in which solid and liquid parts of a solution are separated using different types of coagulants and flocculants.
  • 757
  • 08 Apr 2022
Topic Review
Chemical Composition of Sulfide Copper in Chile
Copper is a metal that presents several industrial applications due to its attractive properties, such as electrical conductivity, thermal conductibility, and ductility. It is mainly used in electrical wiring, industrial machinery, plastic electroplating, printed wiring boards, zinc die casting, automotive bumpers, and rotogravure rolls. Copper is especially important in the semiconductor industry because, in general, the connections on chips are made of this metal due to its low electrical resistance, good mechanical properties, and high corrosion resistance. In addition to this, copper can form alloys with various elements.
  • 1.4K
  • 24 Mar 2022
Topic Review
Intelligent Unmanned Mining
Intelligent unmanned mining is the application of new generation of communication technology, Internet of Things (IoT), cloud computing, big data, artificial intelligence and other advanced technologies, intelligent mining and transportation equipment are taked such as coal mining machine, hydraulic support, scraper conveyor, loader, crusher, belt conveyor with autonomous perception, autonomous decision-making and autonomous control execution ability, the comprehensive intelligent control system as the core, and uses visual remote monitoring or adaptive intelligent planning mining as a means, the safe and efficient comprehensive intelligent coal mining method can realize the intelligent operation process of working face mining, support, coal transportation (working condition adaptive and process collaborative control) or one-click start-stop operation mode (including unmanned follow-up operation and safe patrol).
  • 1.3K
  • 19 Feb 2022
Topic Review
Sodium Metabisulfite on Selective Flotation of Chalcopyrite/Molybdenite
Sodium metabisulfite (MBS) was used in this study for selective flotation of chalcopyrite and molybdenite. Microflotation tests of single and mixed minerals were performed to assess the floatability of chalcopyrite and molybdenite. The results of microflotation of single minerals showed that MBS treatment significantly depressed the floatability of chalcopyrite and slightly reduced the floatability of molybdenite. The results of microflotation of mixed minerals demonstrated that the MBS treatment could be used as a selective chalcopyrite depressant in the selective flotation of chalcopyrite and molybdenite. Furthermore, the addition of diesel oil or kerosene could significantly improve the separation efficiency of selective flotation of chalcopyrite and molybdenite using MBS treatment.
  • 988
  • 20 Dec 2021
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