Hervé Losaladjome Mboyo

Hervé Losaladjome Mboyo

School of Mining, Liaoning Technical University, Fuxin, Liaoning, China
orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 February 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
HMHervé Losaladjome Mboyo
Hervé Losaladjome Mboyo
BHBingjie Huo
Bingjie Huo
FMFrançois Mulenga
François Mulenga
Pieride Mabe FogangPieride Mabe Fogang
Pieride Mabe Fogang
JKJimmy Kalenga Kaunde Kasongo
Jimmy Kalenga Kaunde Kasongo
This study analyzes the distribution of operating costs along the value chain of an open-pit copper mine with a focus on key operational units or operations such as drilling, blasting, loading, hauling, stockpiling, blending, crushing, milling, and flotation. Using process costing analysis, key cost drivers were identified, and their individual contributions to total expenses were quantified. Results revealed that comminution processes dominate the operational cost structure, with milling accounting for 6.18 USD/ton, representing 59.1% of total operating costs, and crushing costing 1.15 USD/ton, that is, 11% of total operating expenditure. The study also highlighted several opportunities for cost reduction and enhanced mining sustainability through strategies such as energy consumption optimization, the use of alternative energy sources, and optimized blast design. Finally, valuable insights aimed at promoting sustainable resource utilization, improved cost efficiency, and data-driven decision-making in mining operations are offered to mine planners and operators. This is eventually expected to lay the foundation for benchmarking work on the establishment of a baseline and standards for similar mining operations.

2 December 2024 in Minerals
Verified
Journal Article
Open access
PDF file
HMHervé Losaladjome Mboyo
Hervé Losaladjome Mboyo
BHBingjie Huo
Bingjie Huo
FMFrançois Mulenga
François Mulenga
Pieride Mabe FogangPieride Mabe Fogang
Pieride Mabe Fogang
JKJimmy Kalenga Kaunde Kasongo
Jimmy Kalenga Kaunde Kasongo
Open-pit mining remains the dominant method for copper extraction in current operations, with blasting playing a pivotal role in the efficiency of downstream processes such as loading, hauling, crushing, and milling. This study assesses the impact of surface blast design parameters on the performance of a comminution circuit processing a copper-bearing ore. The analysis focuses on important design parameters such as burden, spacing, stemming, and powder factor, evaluating their influence on the fragment size distribution and downstream comminution circuit performance. Using the Kuz-Ram model, four novel blast designs are compared against a baseline to predict the size distribution of rock fragments (X80). Key performance indicators throughput and specific energy consumption are calculated to evaluate the comminution circuit performance. Results demonstrated that reducing the X80 from 500 mm to 120 mm led up to a 20% increase in throughput and a 29% reduction in total specific energy consumption. Furthermore, achieving finer particle sizes through more intensive blasting contributed to a reduction in total operating costs by up to 12%. These findings provide valuable insights for optimizing blast design to improve comminution circuit performance, contributing to sustainable mining practices by reducing energy consumption, operating costs, and the environmental footprint of mining operations.