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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.
  • 1.5K
  • 19 May 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.
  • 1.6K
  • 02 Sep 2022
Topic Review
Quantum Chemistry in the Study of Flotation Reagents
Flotation reagents are significant for modifying the interfacial characteristics of mineral grains to achieve the effective separation of minerals. Since the 1960s, when quantum chemistry was first introduced into the study of flotation reagents, many achievements have been made, although some controversial topics remain.
  • 122
  • 06 Dec 2023
Topic Review
Production of Electrolytic Manganese Dioxide
The ferromanganese (FeMn) alloy is produced through the smelting-reduction of manganese ores in submerged arc furnaces. This process generates large amounts of furnace dust that is environmentally problematic for storage. Due to its fineness and high volatile content, this furnace dust cannot be recirculated through the process, either. Conventional MnO2 production requires the pre-reduction of low-grade ores at around 900 °C to convert the manganese oxides present in the ore into their respective acid-soluble forms; however, the furnace dust is a partly reduced by-product. A hydrometallurgical route is proposed to valorize the waste dust for the production of battery-grade MnO2. By using dextrin, a cheap organic reductant, the direct and complete dissolution of the manganese in the furnace dust is possible without any need for high-temperature pre-reduction. The leachate is then purified through pH adjustment followed by direct electrowinning for electrolytic manganese dioxide (EMD) production. An overall manganese recovery rate of >90% is achieved. 
  • 4.1K
  • 08 Jul 2021
Topic Review
Mullite-Based Ceramics from Mining Waste
Mullite (3Al2O3·2SiO2) is an aluminosilicate characterized by excellent physical properties, which makes it an important ceramic material. In this way, ceramics based on mullite find applications in different technological fields as refractory material (metallurgy, glass, ceramics, etc.), matrix in composite materials for high temperature applications, substrate in multilayer packaging, protective coatings, components of turbine engines, windows transparent to infrared radiation, etc. However, mullite is scarce in nature so it has to be manufactured through different synthesis methods, such as sintering, melting-crystallization or through a sol-gel route. 
  • 874
  • 29 Jul 2021
Topic Review
Mitigating Risks in Coal Mining
Insufficient stability of the top plate at the corner of an easily combustible coal seam comprehensive mining face may lead to a natural fire within the goaf. While corner sealing is crucial for minimizing air leakage, current sealing methods struggle to effectively prevent such leakage. Additionally, the distribution characteristics of the oxidation zone in the goaf after sealing are unclear, making it difficult to control the extent of the oxidation zone.
  • 130
  • 22 Dec 2023
Topic Review
Mining Geomatics
Mining geomatics is the knowledge and ability of using information systems to integrate and process spatial data about objects and phenomena occurring in the mining space in a way that enables the modelling and design of mining activities together with monitoring and visualising their state, analysing their changes and forecasting the effects of mining operations.
  • 249
  • 18 Aug 2023
Topic Review
Mining Equipment Management
Mining sector is an economic foundation and the main source of national wealth for many countries. Modern mining operations are ever more reliant on efficient usage of costly large-scale mining equipment (e.g., trucks, shovels/excavators/loaders, conveyors and crushers). Thus, mining equipment management is becoming crucial for the mining industry. To be viable and sustainable, mining enterprises need to operate different types of mining equipment units at various stages with the objective of minimizing the total cost or maximizing the whole productivity.
  • 478
  • 23 Dec 2022
Topic Review
Micro-Mineral Particle Slurry Rheometry
In mineral flotation operations, the mineral slurry is usually treated via grinding, agitation, flotation, and transportation, and the micro-particle slurry is often mixed with chemical reagent (mill and agitation tank) under such conditions, with air bubbles being separated under certain shearing fields in water-used equipment, such as a flotation cell or column. One characteristic of the micro-mineral slurry is polydispersity, including size and shape.
  • 153
  • 13 Jun 2023
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.
  • 2.3K
  • 09 Sep 2022
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