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  • SAIMM
    Preparation, characterisation, and application of spent tyre-derived activated carbon chars for total organic carbon removal from wastewater

    By P. O. Osifo, K. Premlall, X. Goso, R. H. Matjie, M. R. Mulaudzi, J. R. Bunt, K. Mphahlele

    This study investigates the transformation of pyrolytic spent tyre-derived char and crumb rubber into high-performance activated carbon chars for industrial wastewater remediation. Utilising an in-hou

    Mar 30, 2026

  • SAIMM
    A review of current practices of survey control in sinking shafts in Southern African operations

    By E. Vascotto, S. M. Rupprecht, H. C. Grobler

    Shaft sinking survey practices in Southern African mining operations have been refined over many decades to meet the stringent accuracy, safety, and productivity demands of deep vertical excavation. H

    Mar 30, 2026

  • SAIMM
    Comparison of the Committee for Mineral Reserves International Reporting Standards Template-based mineral reporting codes with implications for mine planning in mineral development projects

    By C. Musingwini, G. Njowa, M. Burnett, C. C. Birch

    From 2022 to 2040, the global demand for mineral commodities is projected to increase by fourfold to six-fold, largely due to traditional drivers such as population growth and urbanisation compounded

    Mar 30, 2026

  • SAIMM
    Investigation of the effect of mechanical, drillability, abrasiveness, and excavatability properties of Zonguldak Basin coal surrounding rocks on grindability

    By C. Aldı, O. Yaral

    For the more economical excavation of tunnels in underground mining activities, the selection of mechanised excavation machines (such as roadheaders, electro-hydraulic drills, etc.) and the analysis o

    Mar 30, 2026

  • SAIMM
    Improving grade estimation using machine learning: A comparative study of ordinary kriging against machine learning algorithms

    By R. C. A. Minnitt, A. Akpabio

    This study presents a rigorous comparison between ordinary kriging and commonly used machine learning algorithms, those being, linear regression, support vector regression, decision trees, random fore

    Mar 30, 2026

  • SAIMM
    Determination of rhodium from fire assay using lead collection with the addition of co-collector, followed by acid dissolution to enhance recovery and analytical accuracy

    By R. Letsaole, H. Mabowa, J. Sehat, J. Tshilongo, T. Rampfumedzi, N. Ntsasa, A. Mkhohlakal1

    This study explores the use of co-collectors to enhance the recovery and determination of rhodium during fire assay with lead collection, followed by acid dissolution using conventional hot plate meth

    Mar 6, 2026

  • SAIMM
    Elevating safety and efficiency in mining with Vision AI: From object detection to large language model-driven decision intelligence

    By Y. Zhan1, T. Moodley, M. A. H. Zahid

    Mining operations are under growing pressure to improve safety and efficiency while dealing with aging infrastructure, complex processes, and workforce constraints. Although many sites are equipped wi

    Mar 6, 2026

  • SAIMM
    Cooling innovation in practice: A case study on composite copper-graphite cooler performance before and after a PGM furnace partial sidewall rebuild

    By E. Mokgwamme, T. Goff, M. Mvalelwa, P. Spratt, P. Bezuidenhout, P. Nkosi, H. Joubert, G. de Villiers

    Sibanye-Stillwater recently completed a partial sidewall rebuild on Furnace 1 at its Marikana smelter complex. The project involved matte taphole maintenance, which required the removal and subsequent

    Mar 6, 2026

  • SME
    How Western miners can win Africa’s critical minerals race - ME Feature Article

    By Richard Kojo Gabah

    Western mining companies are entering an African critical minerals market where access is harder to secure, risk is being priced more sharply, and execution advantages are increasingly decisive. The c

    Mar 1, 2026

  • SME
    Dynamic Failure Predictions Using Machine Learning and Geochemical Data - SME Annual Meeting 2026

    By D. Morgan Warren, David Hanson, Alice Alex, Tom Meuzelaar, Heather Lawson, Sam J. S. Wright

    Dynamic coal failure events remain a safety concern in underground coal mining due to their sudden nature and high fatality rate. Previous research utilized Principal Component Analysis on field sampl

    Feb 22, 2026

  • SME
    Optimal Design and Digital Prototyping of E-Volute and E-Duc Feedwell - SME Annual Meeting 2026

    By Thien Sok, Yaojun Lu, Craig Gilbert, Jeremy Scott

    Feedwells play a pivotal role in gravity thickeners, governing flow distribution, feed dilution, and flocculation condition during solid–liquid separation. This study presents an optimized design and

    Feb 22, 2026

  • SME
    Impact of Xanthate Collector on Secondary Sulfide High Clay Ore in Chino Mine - SME Annual Meeting 2026

    By Sai Phaninder Reddy Chaganti, Corrina D. Beaven

    This study investigates the effect of reagent type, dosage, and pH on flotation kinetics and copper recovery for secondary sulfide ore with elevated clay content. The primary objective was to determin

    Feb 22, 2026

  • SME
    Critical Minerals Management on the Federal Seabed - SME Annual Meeting 2026

    By Paul O. Knorr

    The Bureau of Ocean Energy Management (BOEM), a bureau within the U.S. Department of the Interior, has responsibility over both energy and non-energy mineral development on the United States Outer Con

    Feb 22, 2026

  • SME
    Conveyor Monitoring Through Fiber Optic Cables—Reducing Downtime, Increasing Safety and Improving Preventative Maintenance - SME Annual Meeting 2026

    By Mathew Cook

    Technological developments in Distributed Fiber Optic Sensing and improvements in both hardware and software have allowed fiber optic sensing systems to be deployed in a variety of applications such a

    Feb 22, 2026

  • SME
    High-Frequency Screening of Iron Ore - SME Annual Meeting 2026

    By Henrique D. G. Turrer, Robert F. Winterfield, Jobe E. Wheeler, Marcello R. Cru, Baojie Zhang, Pedro P. Pinto

    Efficient particle classification is essential to enhance gravity and magnetic separation stages in one iron ore beneficiation plant. This study investigates the use of high-frequency screens to proce

    Feb 22, 2026

  • SME
    Overview of the Process on Risk Informed Decision Making in Mining Dams/Tailings Storage Facilities—Position Statement from USSD and CDA - SME Annual Meeting 2026

    By Alistair James, James Alcorn, Chaitan S. Sandhu, Andy Small

    The Risk-Informed Decision Making (RIDM) working group is a group of industry professionals formed under the joint initiative undertaken by United States Society of Dams (USSD), Tailings Dam Safety Co

    Feb 22, 2026

  • SME
    Impacts of Human Fatigue Impairments on Mine Equipment Operation Performance - SME Annual Meeting 2026

    By Vanessa Viterbo, Lia Walker, Hassan Khaniani, Vitor Viterbo

    Fatigue is a major contributor to haul-truck incidents in mining, with up to 65% of fatigue-related events associated with operator drowsiness or microsleep episodes, Williamson et al. (2011) and Cate

    Feb 22, 2026

  • SME
    Digital Drives for the Future: Flender One’s AI-Powered Industrial Revolution - SME Annual Meeting 2026

    By Jan Reimann

    Increasing individualization with smaller quantities, growing competition from low-wage countries, and the continuous drive towards digitalization are the challenges that industrial companies in high-

    Feb 22, 2026

  • SME
    Modeling Dust Migration and Dilution in Large-Opening Underground Mines Using a Coupled CFD Approach - SME Annual Meeting 2026

    By Xiaozhen Song, Ashish Ranjan Kumar, Shimin Liu

    Diesel particulate matter (DPM) presents considerable occupational health hazards in large-opening underground mines (LOUM). Previous studies have primarily focused on single-factor ventilation optimi

    Feb 22, 2026

  • SME
    Evaluation Of Mining Project Investments Using A System Dynamics Approach - SME Annual Meeting 2026

    By Onur Golbası, Berk Gokce

    Investment decisions in the mining industry are complicated by sector-specific uncertainties. This study presents a multi-submodule system dynamics model to capture the dynamic complexities of decisio

    Feb 22, 2026