Forthcoming Articles

International Journal of Mining and Mineral Engineering

International Journal of Mining and Mineral Engineering (IJMME)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Mining and Mineral Engineering (3 papers in press)

Regular Issues

  • Utilisation of Coal Mine Overburden Waste: A review   Order a copy of this article
    by Sumit Jana, Amar Nath Mishra, Sunanda Jana Bera, Dan Bahadur Pal, Dev Mani Pandey 
    Abstract: This paper reviews the utilization of coal mine overburden (OB). India has the alternate-loftiest population in the world, which results in a high need for power and electricity. The need for coal and the demand for electricity and energy are adding in India. Loftiest population in the world, which results in a high need for power and electricity. The need for coal and the demand for electricity and energy are adding in India. Mine overload is the waste of gemstone material produced during mining. Massive volumes of mining waste are produced during mining operations, and these wastes have a severe dump insecurity, acid drainage brought on by oxidation processes, water pollution, air pollution, and other problems. This review focuses on the utilisations of coal overburden, like backfilling underground mine voids, Ceramic, and bricks, from the by-products of coal mining and processing to pottery.
    Keywords: Coal; Coal overburden; Backfilling; Ceramics; Secondary aggregate.
    DOI: 10.1504/IJMME.2026.10074398
     
  • Forecasting of Slope Failures in Open Cast Coal Mines using AI and ML Algorithms   Order a copy of this article
    by Anasuya Ravikanti, Srinivasulu Tadisetty 
    Abstract: Coal is a crucial resource, widely used in industries and power generation. India ranks 3rd in coal production but must import coal to meet growing demand. Coal mining in India is done through underground and open-cast methods. Open-cast mining success depends heavily on the stability of pit slopes, which must remain intact throughout the mine's life. Slope failures in open-cast coal mines pose serious risks to safety, efficiency, and environmental sustainability. This paper presents techniques to predict and forecast such failures using Machine Learning (ML) and Artificial Intelligence (AI) algorithms. These innovative models leverage comprehensive datasets, including geological, hydrological, and operational parameters, to improve prediction accuracy. The paper also explores the role of AI in enhancing slope stability in open-cast coal mining, demonstrating how AI and ML algorithms can enhance the reliability of slope failure forecasts.
    Keywords: Slope failures; Coal mining; Artificial intelligence; Machine learning; Prediction; Open cast coal mines.
    DOI: 10.1504/IJMME.2026.10075226
     
  • Electricity and Sustainable Innovation in Copper Mining and Processing: a Bibliometric Analysis and Systematic Literature Review   Order a copy of this article
    by Marco Antonio Cotrina Teatino, Jairo Jhonatan Marquina Araujo, Bruno Sebastian Rodriguez-Gonzalez, Jorge Adrian Vargas-Dominguez 
    Abstract: This study analyses electricity consumption in copper mining and processing (20002024), focusing on trends, innovations, and future directions. Using a mixed-method approach bibliometric analysis, text mining, and content analysis 95 peer-reviewed articles from Scopus, JSTOR, and Taylor & Francis were reviewed following PRISMA guidelines. The objectives were to identify trends, review energy efficiency and innovations in mineral processing, and propose future research directions. Three research clusters emerged: 1) energy efficiency and electricity consumption in copper mining; 2) electricity and sustainability in copper mineral processing; 3) technological advances in copper processing with a focus on electricity. Five research priorities were proposed: optimising energy use in comminution and flotation, integrating renewable energy, advancing desalination and energy, efficient water management, recovering and reusing residual energy, and developing sustainable processing technologies.
    Keywords: Copper mining; electricity consumption; energy efficiency; mineral processing; sustainability; renewable energy; sustainable technologies.
    DOI: 10.1504/IJMME.2026.10075299
     

 

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