Mining Science and Technology (Russia)

We present the articles of the first issue of scientific journal "Mining Science and Technology” (Russia) for 2025:

Scientists studied the effect of hydraulic excavator pump wear on fuel overconsumption. During operation, increased clearances, reduced volumetric efficiency, and higher energy losses lead to excessive fuel consumption. The research aimed to determine the optimal pump service life considering growing fuel costs. The team developed a mathematical model of pump ownership costs, created simulation algorithms in Simulink-Matlab, and evaluated fuel consumption increases. Using the Komatsu PC2000-8 excavator as an example, the study demonstrated how main hydraulic pumps' technical condition affects fuel overconsumption. The results established correlations between fuel overconsumption and pump wear, plus derived an equation for optimal replacement timing to minimize total costs. The proposed fuel overconsumption indicator (calculated as the ratio between actual and nominal fuel consumption per 1 m³ of excavated material) enables data-driven determination of pumps' critical wear threshold. Implementation of this model can reduce combined pump ownership and fuel costs by up to 17%, accounting for pump condition deterioration rate, fuel prices, replacement costs, and mining-engineering conditions. All simulations were performed using Simulink-Matlab and Excel with specially developed calculation methodologies.

For more information, see the article:

📌 Rakhutin M.G., Tran V.H., Krivenko A.E., Giang Q.Kh. Impact of the technical condition of main pumps on fuel consumption in a hydraulic excavator. Mining Science and Technology (Russia). 2025;10(1):67-74. https://doi.org/10.17073/2500-0632-2024-01-179


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#InEnglish #MST #MiningMachinery #HydraulicMiningExcavator #PumpTechnicalCondition #Hydraulics #Pump #Condition #Operation #Modeling #Leakage #Efficiency #Wear #Costs #Algorithm #Consumption #Overconsumption #OptimalServiceLife #Excavator #Pumps #ServiceLife #TechnicalCondition #Mining

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12.1K viewsedited  Jun 10 at 07:14

We present the articles of the first issue of scientific journal "Mining Science and Technology” (Russia) for 2025:

Scientists studied the effect of hydraulic excavator pump wear on fuel overconsumption. During operation, increased clearances, reduced volumetric efficiency, and higher energy losses lead to excessive fuel consumption. The research aimed to determine the optimal pump service life considering growing fuel costs. The team developed a mathematical model of pump ownership costs, created simulation algorithms in Simulink-Matlab, and evaluated fuel consumption increases. Using the Komatsu PC2000-8 excavator as an example, the study demonstrated how main hydraulic pumps' technical condition affects fuel overconsumption. The results established correlations between fuel overconsumption and pump wear, plus derived an equation for optimal replacement timing to minimize total costs. The proposed fuel overconsumption indicator (calculated as the ratio between actual and nominal fuel consumption per 1 m³ of excavated material) enables data-driven determination of pumps' critical wear threshold. Implementation of this model can reduce combined pump ownership and fuel costs by up to 17%, accounting for pump condition deterioration rate, fuel prices, replacement costs, and mining-engineering conditions. All simulations were performed using Simulink-Matlab and Excel with specially developed calculation methodologies.

For more information, see the article:

📌 Rakhutin M.G., Tran V.H., Krivenko A.E., Giang Q.Kh. Impact of the technical condition of main pumps on fuel consumption in a hydraulic excavator. Mining Science and Technology (Russia). 2025;10(1):67-74. https://doi.org/10.17073/2500-0632-2024-01-179


🔔 Subscribe to our Telegram channel: www.group-telegram.com/us/MinSciTech.com

#InEnglish #MST #MiningMachinery #HydraulicMiningExcavator #PumpTechnicalCondition #Hydraulics #Pump #Condition #Operation #Modeling #Leakage #Efficiency #Wear #Costs #Algorithm #Consumption #Overconsumption #OptimalServiceLife #Excavator #Pumps #ServiceLife #TechnicalCondition #Mining

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