We present the articles of the fourth issue of scientific journal "Mining Science and Technologyβ (Russia) for 2024:
The review article examines 25 copper ore provinces in Russia, encompassing 150 copper deposits of various formations. The primary production is concentrated in copper-nickel and copper-pyrite deposits, while mining is actively developing at copper-porphyry and copper-skarn deposits. The Udokan deposit was commissioned in 2023, significantly increasing the production potential. The largest copper reserves are concentrated in the Norilsk-Kharaelakh, Kodar-Udokan, and Ural provinces. The reserve life is estimated at 47 years, and future development prospects are linked to the exploration of new deposits and the implementation of modern technologies.
For more information, see the article:
π Boyarko G.Yu., Lapteva A.M., Bolsunovskaya L.M. Mineral resource base of Russiaβs copper: current state and development prospects. Mining Science and Technology (Russia). 2024;9(4):352-386. https://doi.org/10.17073/2500-0632-2024-05-248
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#Inenglish #MST #copper #ore #strategicrawmaterials #oreformations #deposit #province #region #reserves #resurce #mining #forecasting #nationalprojects #Russia
The review article examines 25 copper ore provinces in Russia, encompassing 150 copper deposits of various formations. The primary production is concentrated in copper-nickel and copper-pyrite deposits, while mining is actively developing at copper-porphyry and copper-skarn deposits. The Udokan deposit was commissioned in 2023, significantly increasing the production potential. The largest copper reserves are concentrated in the Norilsk-Kharaelakh, Kodar-Udokan, and Ural provinces. The reserve life is estimated at 47 years, and future development prospects are linked to the exploration of new deposits and the implementation of modern technologies.
For more information, see the article:
π Boyarko G.Yu., Lapteva A.M., Bolsunovskaya L.M. Mineral resource base of Russiaβs copper: current state and development prospects. Mining Science and Technology (Russia). 2024;9(4):352-386. https://doi.org/10.17073/2500-0632-2024-05-248
Subscribe to the journal's Telegram channel:
πt.iss.one/MinSciTechπ
#Inenglish #MST #copper #ore #strategicrawmaterials #oreformations #deposit #province #region #reserves #resurce #mining #forecasting #nationalprojects #Russia
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We present the articles of the fourth issue of scientific journal "Mining Science and Technologyβ (Russia) for 2024:
The purpose of this study is to assess dust concentration at the workplace of a crushing and screening plant operator as part of a special labor conditions evaluation. Dust concentration at the operator's workplace was measured using a standard gravimetric method. The testing was conducted in four stages and lasted 400 minutes, which is 83% of the total work shift duration. Data analysis revealed an exceedance of the permissible dust concentration by a factor of 1.28. The labor conditions class (subclass) was established as 3.1. It was found that the average dust concentrations varied by a factor of 3β4 across different testing stages due to the intensity and direction of air velocity at the production site. Based on the obtained data, dust concentrations at the workplace were predicted according to air velocity at the site, with an approximation accuracy of R2 = 0.95. The presented results can be used to predict dust concentrations at the workplaces of operators at other crushing and screening plants, taking into account individual empirical data collected at each site.
For more information, see the article:
π Korol E.A., Degaev E.N., Konyukhov D.S. Assessing dust concentration at the workplace of a crushing and screening plant operator for special labor conditions evaluation. Mining Science and Technology (Russia). 2024;9(4):395-405. https://doi.org/10.17073/2500-0632-2024-03-235
#Inenglish #MST #production #crushed_stone #crushing_plant #dust #concentration #emissions #dustcontrol #dust_generation #operator #workingconditions #occupationalhazards #forecasting #workerprotection #mining #safety
The purpose of this study is to assess dust concentration at the workplace of a crushing and screening plant operator as part of a special labor conditions evaluation. Dust concentration at the operator's workplace was measured using a standard gravimetric method. The testing was conducted in four stages and lasted 400 minutes, which is 83% of the total work shift duration. Data analysis revealed an exceedance of the permissible dust concentration by a factor of 1.28. The labor conditions class (subclass) was established as 3.1. It was found that the average dust concentrations varied by a factor of 3β4 across different testing stages due to the intensity and direction of air velocity at the production site. Based on the obtained data, dust concentrations at the workplace were predicted according to air velocity at the site, with an approximation accuracy of R2 = 0.95. The presented results can be used to predict dust concentrations at the workplaces of operators at other crushing and screening plants, taking into account individual empirical data collected at each site.
For more information, see the article:
π Korol E.A., Degaev E.N., Konyukhov D.S. Assessing dust concentration at the workplace of a crushing and screening plant operator for special labor conditions evaluation. Mining Science and Technology (Russia). 2024;9(4):395-405. https://doi.org/10.17073/2500-0632-2024-03-235
#Inenglish #MST #production #crushed_stone #crushing_plant #dust #concentration #emissions #dustcontrol #dust_generation #operator #workingconditions #occupationalhazards #forecasting #workerprotection #mining #safety
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We present the articles of the fourth issue of scientific journal "Mining Science and Technologyβ (Russia) for 2024:
This study presents the first analysis of the key interrelated technical characteristics of industrial ball mills, including drum volume, diameter, rotational speed, ball load, total weight, and drive power, enabling a more substantiated approach to selecting technical parameters and operational modes. The installation of a permanent vibration control system on ball mills used for grinding mineral raw materials required the individual determination of technical condition category thresholds for the motor, gear-shaft, and drum. The category thresholds were determined individually for each shaft using statistical classification, under the assumption that coupled components are in a state influenced by the energy potential of damage during staged progression. Standard 'reference' ratios of vibration values across three mutually perpendicular directions were established. Characteristic patterns and sequences of damage progression were identified based on the direct spectra of vibration velocity and acceleration. During the analysis of vibration signal time series, a beat frequency mode was detected, indicating potential damage development within gear elements. Effective informational support for the operational condition of ball mills is achieved through the analysis of overall vibration levels, direct trends in vibration velocity and acceleration, time series of the vibration signal, and both long-term and short-term trend analyses. Vibration velocity trends provide insights into technical condition by assessing operational stability, startup frequency, and maintenance intervals.
For more information, see the article:
π Borisenko V.F., Sidorov V.A., Sushko A.E., Rybakov V.N. Vibration metrics for informational support in assessing the technical condition of ball mills. Mining Science and Technology (Russia). 2024;9(4):420-432. https://doi.org/10.17073/2500-0632-2023-10-175
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#InEnglish #MST #BallMill #ElectricDrive #ElectricEngine #GearUnit #Design #Shaft #Bearing #Operation #OperationalCapacity #Damage #Failures #Control #Diagnostics #Vibration #Signal #VibrationAnalyzer #VibrationVelocity #VibrationAcceleration #Frequency #Amplitude #Harmonic #Spectrum #Analysis #Correlation #Forecasting #TrendAnalysis
This study presents the first analysis of the key interrelated technical characteristics of industrial ball mills, including drum volume, diameter, rotational speed, ball load, total weight, and drive power, enabling a more substantiated approach to selecting technical parameters and operational modes. The installation of a permanent vibration control system on ball mills used for grinding mineral raw materials required the individual determination of technical condition category thresholds for the motor, gear-shaft, and drum. The category thresholds were determined individually for each shaft using statistical classification, under the assumption that coupled components are in a state influenced by the energy potential of damage during staged progression. Standard 'reference' ratios of vibration values across three mutually perpendicular directions were established. Characteristic patterns and sequences of damage progression were identified based on the direct spectra of vibration velocity and acceleration. During the analysis of vibration signal time series, a beat frequency mode was detected, indicating potential damage development within gear elements. Effective informational support for the operational condition of ball mills is achieved through the analysis of overall vibration levels, direct trends in vibration velocity and acceleration, time series of the vibration signal, and both long-term and short-term trend analyses. Vibration velocity trends provide insights into technical condition by assessing operational stability, startup frequency, and maintenance intervals.
For more information, see the article:
π Borisenko V.F., Sidorov V.A., Sushko A.E., Rybakov V.N. Vibration metrics for informational support in assessing the technical condition of ball mills. Mining Science and Technology (Russia). 2024;9(4):420-432. https://doi.org/10.17073/2500-0632-2023-10-175
Subscribe to the journal's Telegram channel:
πt.iss.one/MinSciTechπ
#InEnglish #MST #BallMill #ElectricDrive #ElectricEngine #GearUnit #Design #Shaft #Bearing #Operation #OperationalCapacity #Damage #Failures #Control #Diagnostics #Vibration #Signal #VibrationAnalyzer #VibrationVelocity #VibrationAcceleration #Frequency #Amplitude #Harmonic #Spectrum #Analysis #Correlation #Forecasting #TrendAnalysis
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