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Article

Performance Evaluation of Heading-and-Winning Machines in the Conditions of Potash Mines

by
Sergey A. Lavrenko
1,* and
Dmitriy I. Shishlyannikov
2
1
Department of Mechanical Engineering, Saint-Petersburg Mining University, 2, 21st Line, 199106 St. Petersburg, Russia
2
Department of Mining Electromechanics, Perm National Research Polytechnic University, 29, Komsomolsky prospekt, 614990 Perm, Russia
*
Author to whom correspondence should be addressed.
Submission received: 18 March 2021 / Revised: 2 April 2021 / Accepted: 6 April 2021 / Published: 12 April 2021
(This article belongs to the Section Mechanical Engineering)

Abstract

:
The authors focus on the process of potash ore production by a mechanized method. They show that currently there are no approved procedures for assessing the performance of heading-and-winning machines operating in the conditions of potash mines. This causes difficulties in determining the field of application of heading-and-winning machines, complicates the search for implicit technical solutions for the modernisation of existing models of mining units, prohibits real-time monitoring of the stability of stope-based technological processes and makes it difficult to assess the performance of the services concerning mining enterprises. The work represents an aggregate assessment of the performance of heading-and-winning machines for potash mines by determining complex indicators describing the technological and technical levels of organising the work in stopes. Such indicators are the coefficients of productivity and energy efficiency, respectively. Experimental studies have been carried out in the conditions of the potash mine of the Verkhnekamskoye potassium-magnesium salt deposit to assess the performance of the latest and most productive Ural-20R heading-and-winning machines manufactured in Russia. Using the above methodological approaches, this paper shows that the unsatisfactory technological performance of the studied machine is due to the low productivity of the mine district transport. The average productivity coefficient was 0.29. At the same time, high values of the energy efficiency coefficient show that the productivity of the machine is on par with design conditions.

1. Introduction

Companies from Russia and the Commonwealth of Independent States (hereinafter CIS) engaged in the extraction of potash and magnesium ores widely use room-and-pillar mining with strip pillars to mine productive formations, which involves sets of mining and transporting machines referred to as mechanized combine complexes. Each mechanized complex includes the mining unit, which is a heading-and-winning machine; a storage capacity, which is a feeder-breaker; and the delivery vehicle, which is a self-propelled car [1,2,3,4].
At Russia’s potash mines, the most widely used mining units are the Ural heading-and-winning machines (Figure 1) manufactured by Kopeysk Machine-Building Plant JSC (Chelyabinsk Region). Continuous work on improving the design of Ural combines, carried out by the manufacturer, has ensured high reliability indicators (MTBF (mean time between failures), maintainability) and adaptability of the combines to the conditions of potash enterprises in Russia and CIS countries. Comparative tests with similar heading-and-winning machines manufactured in Western Europe and North America have shown higher average annual productivity of Ural combines in fracturing of sticky or strong potash ores of the Verkhnekamskoye deposit [5]. Ural-20R units are used in rooms with height H = 3.1 m and a cross-sectional area of 15.75 m2. The rated power of each of the actuator engines is 160 kW in relative motion; the rotary actuator has a power of 75 kW.
A comparative assessment of the performance of each heading-and-winning machine in the course of operating in the conditions of potash mines is necessary in order to determine their field of application, develop technical solutions for the modernisation of existing models, control the stability of technological processes in the stope and evaluate the performance of the services on mining enterprises.

2. Performance Evaluation Procedures for Heading-and-Winning Machines in Potash Mines

The task of assessing the efficiency of the use of heading machines for potash mines is possible through the development and implementation of automated on-board systems that monitor the operating parameters of mining machines. Such systems should be based on scientifically grounded methods of collecting and analyzing recorded data, aimed at ensuring trouble-free operation and increasing the productivity of mining equipment [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22].
The technical literature indicates that the most informative and simple method of monitoring the performance of mining combines is continuous monitoring of the load on the drive motors, carried out by measuring currents, voltages and active and full capacity. It is also necessary to monitor the movement, feed rate and productivity of the combine and relate these indicators to absolute time.
It is known that the performance of extracting machines in real operating conditions can be reliably evaluated by correlating the basic (nominal) and actual values of energy indicators describing their operation. For combines operating in potash mines, one such indicator is the specific energy consumption for the potash ore mining process Hw [23,24,25,26].
The basic value of the specific energy consumption for the destruction of the potash formation by the combines’ cutters and for ore loading is calculated by the formula:
H w b = Σ P r 60 Q     ,
where Hwb is the base value of specific energy consumption for the destruction of the potash formation by the combine’s cutters and for ore loading, kWh/t; ΣPr is the rated power of actuating units of the combine’s final elements, kW; Q is the combine’s technical performance, t/min.
For example, according to the results of calculations carried out for latest and most productive domestic combines Ural-20R with a productivity Q = 8 t/min and ore cutting resistance Ac = 450 kN/m, the base value of specific energy consumption for the extraction of potash ore is Hwb = 1.16 kWh/t.
The index of potash ore cutting resistance Ap is related to the ultimate compression/shear strength of the ore by empirical dependences
f c = 0.09 A c ;
τ = 0.33 f c ,
where Ac is the cutting resistance of potash ore, kN/m; fc is the ultimate compression strength of potash ore, MPa; τ is the ultimate shear strength of potash ore, MPa [5].
The actual values of the specific energy consumption for the analysed time period T of the combine operation are based on the data on the energy consumption and the mass of ore mined during this period:
H w a = T Σ P a G   ,
where Hwa is the actual value of the specific energy consumption for the extraction of potash ore during the operation of the combine in the analysed time period, kWh/t; T is the duration of the controlled period of the combine’s operation, h; ∑Pa is the sum of the average values of the effective power of the combine’s electric motors over the controlled period T, kW; G is the mass of mined ore, t.
The ratio of the base value of specific energy consumption to the actual value is used to calculate the energy efficiency coefficient of the heading-and-winning machine ke.ef:
k e . e f = H w b H w a   ,
The specific energy consumption for the extraction of potash ore is determined taking into account the specifics of the operation of the heading-and-winning machines in real operating conditions. For example, when the combine executes undercutting of the seam (the operation uses a partial section of the final element), the specific energy consumption takes on greater values due to the uneven and incomplete loading of the combine’s electric actuators. The minimal (out of the possible range) values of the specific energy consumption are provided when the combine is operating on a full face, with a nominal capacity [7,27].
The duration of the combine’s operation at a mine is determined by the expression:
T t = T p . t . + T t . t . + T l . t . + T s . m . + T u . r . ,
where Tt. is the total time of use of the combine at the mine, h; ΣTp.t. is the productivity time of the combine, hours; ΣTt.t. is the total time for performing auxiliary operations, hours; ΣTl.t. is the total time of routine breaks, hours; ΣTs.m. is the total time of scheduled repairs, hours; ΣTu.r. is the total time of unscheduled repairs caused by sudden failures, hours.
The level of organisation of mining operations in the stope can be estimated by the productivity coefficient kp.r., which is defined as the ratio of the time of the combine’s productive work to the overall time the machine is being deployed:
k p . r . = T p . r . T p . r . + T t . t . + T l . t . = T p . r . T t . T s . m . T u . r .
The quantitative values of the coefficients for productivity and energy efficiency define, respectively, the technological and technical levels of organisation of the potash ore mining process. Comparison of the quantitative values of the considered complex indicators provides for a cumulative assessment of the performance of heading-and-winning machines, taking into account the specifics of their functioning conditions [7,24].
Let us set the range of possible values of complex performance indicators by the coordinate plane, where the ordinate describes the values of the energy efficiency coefficient, and the abscissa shows the productivity coefficient (Figure 2).
Let us take the conditional values of the coefficients kp.r.u. and ke.ef.u. and divide the coordinate plane into four zones.
Conditional values kp.r.u. and ke.ef.u. can be determined, respectively, as the average values of performance coefficients kp.r. and energy efficiency ke.ef. of the operation of the combine miners (plant, enterprise), the work of which is analyzed in a given period of time. Reasonable correction of national values kp.r.u and ke.ef.u is possible based on technical and economic feasibility.
If the values of the efficiency indicators are in Zone 1, the work of the combine can be described as ineffective. The low value of the productivity coefficient determines the poor organisation of works in the stope: The period of the combine’s productive work is much shorter than the routine breaks. Low values of the energy efficiency factor determine high specific energy consumption for separating the ore from the potash massif, which, when the combine is operating at full capacity, is a consequence of low productivity and is accompanied by a high content of small non-processing grades in the mined ore.
Zone 2 depicts high productivity factor but low energy efficiency values. The specified combination of efficiency indicators is typical when the unit executes undercutting of the seam (the operation uses a partial section of the final element), or in the case of a continuing limitation of the combine’s feeding speed to the face, when the operator is focused on the operation of a self-propelled car.
The high technical level of the use of heading-and-winning machines with poorly organised stope mining operations is involved in the coefficients located in Zone 3. For example, lower productivity of self-propelled cars due to the mining of remote chambers would mean longer distances for delivering the mined ore and therefore higher idling time for the combines. This feature is typical for a chamber system for the development of layers of potash ores and is a common reason for a decrease in the actual values of the performance coefficient of combines. According to the authors, the value kp.p. = 0.5… 0.6 should be considered satisfactory.
High productivity of ore delivery vehicles in stope and stability of the potash ore mining process provide for high values of coefficients of energy efficiency ke.ef and productivity kp.r. (Zone 4) [7].
Verification of the proposed methodological approaches and theoretical conclusions was carried out during experimental studies in the conditions of potash mines.

3. Experimental Studies for Evaluating the Performance of Heading-and-Winning Machines in Potash Mines

VATUR, a portable instrumentation unit, was developed and made for experimental research in potash mines. It is designed to measure and register voltages, currents, effective and apparent powers of the combine’s electric actuators, tilt angles and the distance traveled by the combine. VATUR is used as a system for mobile measurement and computation; it consists of several blocks and is installed in the explosion-proof magnetic station of the combine. The portable system (Figure 3) includes a power supply unit, a computing unit, voltage dividers and sensors for current and displacement.
The VATUR unit records the electrical parameters of the combine’s actuators using two voltage inputs. Each input is designed to control the loads of three electricity consumers. The effective power in a three-phase circuit is measured by the method of one wattmeter with a dummy zero.
The device records 100 measurements in a single period of the supply voltage fluctuation cycle. In the course of the experiment, the software of the computing unit runs the initial processing of instantaneous values and the calculation of quantitative indicators of the combine’s operation. The following parameters of the controlled electric actuators of the combine are calculated:
  • effective current
  • effective value of phase voltage
  • effective and apparent power
  • power factor
The displacement sensor was used to control the combine’s feeding speed to the mining face.
The obtained parameter values are recorded in the non-volatile memory of the “VATUR” complex. Specialised PC-VATUR software installed on a personal computer helps with further processing and analysis of the data array [11].
Experimental studies for assessment of the performance of mining machines in the conditions of potash mines were carried out on the Ural-20R-11 combine at the Verkhnekamskoye potassium-magnesium salt deposit. The combine was developing the Krasnyi-II seam; the seam bedding angle during the study period was -5° + 1°.
The design features of Ural-20R-11 heading-and-winning machines and the technology of their use together with the equipment of the mining sets determine the magnitude and nature of the load change in the actuators of executive units [28,29,30]. Figure 4 shows the change curves of effective drive power of the executive units for the Ural-20R combine operating in the stope. Using the load curves, it is possible to single out the intervals of actuator operation in various modes: T1 when the engines off, T2 when the engines are starting, T3 for the transient mode, T4 for steady-state operation, T5 for no-load operation of the combine.
The total time of the productive work of the combine ΣTp.t., time spent on auxiliary operations ΣTt.t. and technological breaks ΣTl.t. are determined by the load curves of the combine actuators in accordance with the expressions:
ΣTp.t. = ΣT3 + ΣT4; ΣTt.t. = ΣT2 + ΣT5; ΣTl.t. = ΣT1.
The actual data obtained by recording the operating parameters of the electric actuators of the Ural-20R-11 were used to determine the component periods of the mining machine’s operation. The duration of the analysed time interval was 26 days.
The productivity time of the heading-and-winning combine is determined by the periods of operation of the drag-bar conveyer–reloader, which provides for loading the freed ore from the working area. By correlating the obtained values with the total time of use of the combine (minus the time for scheduled maintenance ΣTs.m and unscheduled repairs ΣTu.r), the values of the productivity coefficients for each day were determined (Figure 5)
The average value of the productivity coefficient for the entire analysed time period was kp.r. = 0.29.
The authors analysed the recorded data about the load of the electric actuators of the Ural-20R-11 combine and determined the total time for performing individual technological operations. During the considered time period, the combine was mining ore using the technology of two-layered mining of chambers. This technology includes the sequential execution of the following operations:
  • “Hewing”, defined as a preparatory operation, where the combine moves from the gateway into the stope;
  • “Full-face mining”, defined as productive work of the combine using a full section of the final element;
  • “Returning”, defined as movement of the combine to the beginning of the stope;
  • “Undercutting the seam”, defined as the productive work of the combine using a partial section of the final element.
Distinctive features have been defined for each technological operation. The durations of technological operations for the analysed time period were established according to the load graphs of the Ural-20R-11 actuators (Table 1).
The actual values of the specific energy consumption Hwa of the potash ore mining process with the Ural-20R-11 unit were determined for individual time intervals of its operation by Formula (4) based on the data on the consumption of electrical energy and the combine’s feeding speed to the face (its technical performance). The energy efficiency coefficient of using a heading-and-winning machine ke.ef. is calculated using Formula (5). The results of performance evaluation of the Ural-20R-11 combine are shown in Table 2 [7].
The results are graphically presented in Figure 2. Analysed data shows the unsatisfactory technological performance of the studied machine Ural-20R-11, which is mainly due to the low productivity of the mine district transport.
With the existing mining technology, the productivity of self-propelled mine cars transporting the mined ore from the combine to the ore gates varies depending on the delivery distance, and is on average 2 to 2.5 times lower than the technical productivity of the combines (Table 3).
Increasing the production time of combines in the purification chambers of potash mines and, as a consequence, increasing the actual values of kp.r. is possible through the use of means of continuous delivery of ore from the combine to the ore gates: Mobile or telescopic conveyors. Combines with two self-propelled cars are known to operate but are not widely used at present. The need to remove the mining machine from the completed stope and to remount the equipment of the combine complex results in a significant negative impact on the efficiency of the use of heading-and-winning machines in potash mines. At the same time, the high values of the energy efficiency coefficient show that the productivity of the machine is on par with design conditions. A decrease in the values of the energy efficiency coefficient is observed when the combine is operating at an incomplete section of the bottom (when undercutting the formation) due to a decrease in the technical productivity of the mining machine.

4. Conclusions

Currently, there are no approved procedures for assessing the performance of heading-and-winning machines operating in the conditions of potash mines. This leads to difficulties in determining the field of application of heading-and-winning machines, prohibits real-time monitoring of the stability of stope-based technological processes and complicates the search for implicit technical solutions for the modernisation of existing models of mining units.
The proposed methodology and software-recording equipment ensure determination of quantitative values for efficiency indicators of the heading-and-winning machines operating at potash mines.
The authors suggest that performance of heading-and-winning machines for potash mines should be assessed by determining complex indicators describing the technological and technical levels of organising the work in stopes. Such indicators are the coefficients of productivity and energy efficiency, respectively.
Using the above methodological approaches, the paper shows that the unsatisfactory technological performance of the studied machine is due to the low productivity of the mine district transport. The average productivity coefficient was 0.29. At the same time, high values of the energy efficiency coefficient show that the productivity of the machine is on par with design conditions.
Monitoring the quantitative values of performance indicators over time will make it possible to identify and, in a timely manner, eliminate the implicit reasons for destabilisation of the potash ore mining process.

Author Contributions

S.A.L.: Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing–original draft. D.I.S.: Conceptualization, Investigation, Methodology, Software, Supervision, Validation, Writing–review & editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Alymenko, D.N. Methodical Guidelines for the Conduct of Mining Operations at the Mines of JSC “Silvinit”/JSC “Galurgia”; Nauka: Novosibirsk, Russia, 2011; p. 487. [Google Scholar]
  2. Sirenko, Y.G.; Brychkov, M.Y.; Kovalskiy, E.R. Improving the Selective Mining of Thick Potash Seams in Chamber Mining System, Notes of the Mining Institute. Volume 186, p. 79. Available online: http://pmi.spmi.ru/index.php/pmi/article/view/6714 (accessed on 11 April 2021).
  3. Sankovsky, A.A.; Aleksenko, A.G.; Nikiforov, A.V. Practical experience analysis: Superimposed seams series mining at the Verkhnekamskoye potassium-magnesium salts deposit applying room-and-pillar mining method. Int. J. Civ. Eng. Technol. 2018, 9, 715–728. [Google Scholar]
  4. Sidyakin, D.A. Substantiation of the Parameters and Design of the Auger Loader of the Heading-and-Winning Machine, Notes of the Mining Institute. Volume 181, p. 138. Available online: http://pmi.spmi.ru/index.php/pmi/article/view/7050 (accessed on 11 April 2021).
  5. Semenov, V.V. Results of Comparative Researches of Executive Units of Salt-Mining Machines “Marietta-900A” and “Ural-20R”. Semenov, V.V., Shmakin, I.G., Zhabin, A.B., Chebotarev, P.N., Eds.; Mining Equipment and Electromechanics. 2012, pp. 11–16. Available online: http://novtex.ru/gormash/go212_web.pdf (accessed on 11 April 2021).
  6. Zagvozdkin, I.V. Ensuring Safety and Trouble-Free Operation of Combine Complexes at the Mines of OAO “Uralkaliy”; Zagvozdkin, I.V., Lesov, G.P., Yanovich, D.M., Eds.; Labour Safety in Industry: Moscow, Russia, 2013; pp. 4–49. [Google Scholar]
  7. Trifanov, M.G. Assessment of the Actuators’ Load in the “Ural-20R” Heading-and-Winning Machines for the Selection of Technically Sound Operating Modes in Real Operating Conditions. Ph.D. Thesis, Perm National Research Polytechnic University, Perm, Russia, March 2018. [Google Scholar]
  8. Vasiliev, B.U.; Zyrin, V.O. The Frequency Converter with Autonomous Inverter Output Power Flow Research for Various Working Modes. In Proceedings of the IOP Conference Series: Materials Science and Engineering, Saint Petersburg, Russia, 23–24 May 2019; pp. 305–899. Available online: https://0-iopscience-iop-org.brum.beds.ac.uk/article/10.1088/1757-899X/643/1/012045 (accessed on 11 April 2021).
  9. Ivanov, S.L.; Shishkin, P.V. Integral Criterion of Mining Machines Technical Condition Level at their Operation. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Saint Petersburg, Russia, 23–24 March 2017; p. 22009. Available online: https://0-iopscience-iop-org.brum.beds.ac.uk/article/10.1088/1755-1315/87/2/022009/pdf (accessed on 11 April 2021).
  10. Shishlyannikov, D.I. Evaluation of the Actuators’ Load in “Ural-20R” Combines in Two-Stage Mining; Shishlyannikov, D.I., Trifanov, M.G., Trifanov, G.D., Eds.; Notes of the Mining Institute: Saint Petersburg, Russia, 2020; Volume 242, pp. 508–512. [Google Scholar] [CrossRef]
  11. Trifanov, G.D.; Shishlyannikov, D.I.; Lavrenko, S.A. Assessment of URAL-20R machine use efficiency while developing potash salt fields. ARPN J. Eng. Appl. Sci. 2016, 11, 5722–5726. [Google Scholar]
  12. Shishlyannikov, D.; Zvonarev, I. Investigation of the destruction process of potash ore with a single cutter using promising cross cutting pattern. Appl. Sci. 2021, 11, 464. [Google Scholar] [CrossRef]
  13. Vogt, D. A review of rock cutting for underground mining: Past, present, and future. J. S. Afr. Inst. Min. Metall. 2016, 116, 1011–1026. [Google Scholar] [CrossRef] [Green Version]
  14. Jakobs, A. The Sandvik LH621, from hardrock loader to high-performance machine in German salt and potash mining. World Min. Surf. Undergr. 2018, 70, 276–279. [Google Scholar]
  15. Zimmer, M.; Strauch, B.; Zirkler, A.; Niedermann, S.; Vieth-Hillebrand, A. Origin and Evolution of Gas in Salt Beds of a Potash Mine. Adv. Geosci. 2020, 54, 15–21. [Google Scholar] [CrossRef]
  16. Chen, M. Study on Stress Distribution under Pillar Floor of Room in Potash Mine with Room and Pillarmining Technology (Conference Paper). In Proceedings of the 5th International Conference on Advances in Energy Resources and Environment Engineering, ICAESEE 2019, Chongqing, China, 6–8 December 2019; Volume 446. [Google Scholar] [CrossRef]
  17. Pollak, S.; Mahoney, T.; Capes, G. Deep Shaft Sinking through Limestone, Mudstone, and Halite (Conference Paper), Rock Mechanics for Natural Resources and Infrastructure Development. In Proceedings of the 14th International Congress on Rock Mechanics and Rock Engineering, ISRM 2019, Foz do Iguaçu, Brazil, 13–18 September 2019; pp. 242–252. [Google Scholar]
  18. Mathanlal, T.; Bhardwaj, A.; Ramachandran, A.V.; Zorzano, M.-P.; Martín-Torres, J.; Cockell, C.S.; Paling, S.; Edwards, T. Subsurface robotic exploration for geomorphology, astrobiology and mining during MINAR6 campaign, Boulby Mine, UK: Part I (Rover development). Int. J. Astrobiol. 2020, 19, 110–125. [Google Scholar] [CrossRef] [Green Version]
  19. Huang, X.-D.; Zhang, X.-M.; Leopold, J.; Ding, H. Analytical Model for Prediction of Residual Stress in Dynamic Orthogonal Cutting Process. J. Manuf. Sci. Eng. 2018, 140. [Google Scholar] [CrossRef]
  20. Zhang, Z.; Zhang, K.; Dong, W.; Zhang, B. Study of Rock-Cutting Process by Disc Cutters in Mixed Ground based on Three-dimensional Particle Flow Model. Rock Mech. Rock Eng. 2020, 53, 3485–3506. [Google Scholar] [CrossRef]
  21. Zhang, Q.-H.; Ding, X.-L.; Wu, A.-Q. A comparison of the application of block theory and 3D block-cutting analysis. Int. J. Rock Mech. Min. Sci. 2017, 99, 39–49. [Google Scholar] [CrossRef]
  22. Segopolo, P.R. Optimization of shuttle car utilization at an underground coal mine. J. S. Afr. Inst. Min. Metall. 2015, 115, 285–296. [Google Scholar] [CrossRef]
  23. Gabov, V.V. Stand for Experimental Research of the Process of Cutting Potash Ores with a Single Cutter of Mining Machines. Gabov, V.V., Shefner, A.D., Shishlyannikov, D.I., Chekmasov, N.V., Eds.; Notes of the Mining Institute: Saint Petersburg, Russia, 2012; Volume 195, pp. 245–248. [Google Scholar]
  24. Andreeva, L.I.; Andreeva, L.I. Methodology of Forming an Effective System for Ensuring the Performance of Mining Equipment. Andreeva, L.I., Krasnikova, T.I., Ushakov, Y.Y., Eds.; Izvestiya VUZov: Saint Petersburg, Russia, 2019; pp. 92–106. [Google Scholar]
  25. Urazbakhtin, R.Y.; Yungmeyster, D.A. The Results of Studies of the Tunneling Rescue Complex for Coal Mines. In Proceedings of the IOP Conference Series: Materials Science and Engineering, Novosibirsk, Russia, 12–14 December 2018; pp. 1–7. Available online: https://0-iopscience-iop-org.brum.beds.ac.uk/article/10.1088/1757-899X/560/1/012130/pdf (accessed on 11 April 2021).
  26. Nguyen, V.X.; Nguyen, K.L.; Lykov, Y.V. Increasing the Coarse Coal Fractions Yield during Coal Mining Using Shearer Cutting Drums. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Saint-Petersburg, Russia, 24–27 April 2019; p. 012095. Available online: https://iopscience.iop.org/article/10.1088/1755-1315/378/1/012095/pdf (accessed on 11 April 2021).
  27. Kuvshinkin, S.Y.; Ivanova, P.V. Developing a Methodology for Estimation of Excavation Techniques for Given Operating Conditions. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Saint-Petersburg, Russia, 24–27 April 2019; p. 012121. Available online: https://0-iopscience-iop-org.brum.beds.ac.uk/article/10.1088/1755-1315/378/1/012121/pdf (accessed on 11 April 2021).
  28. Klyuev, R.; Bosikov, I.; Gavrina, O.; Madaeva, M.; Sokolov, A. Improving the Energy Efficiency of Technological Equipment at Mining Enterprises. In International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019; Murgul, V., Pukhkal, V., Eds.; Advances in Intelligent Systems and Computing; Springer: Cham, Switzerland, 2021; Volume 1258, pp. 262–271. [Google Scholar] [CrossRef]
  29. Zhukovskiy, Y.; Korolev, N.; Koteleva, N. About Increasing Informativity of Diagnostic System of Asynchronous Electric Motor by Extracting Additional Information from Values of Consumed Current Parameter. In Proceedings of the Journal of Physics: Conference Series, Tomsk, Russia, 18–20 January 2018; Volume 1015. [Google Scholar] [CrossRef]
  30. Zhukovskiy, Y.; Koteleva, N. Diagnostics and Evaluation of the Residual Life of an Induction Motor according to Energy Parameters. In Proceedings of the Journal of Physics: Conference Series, Omsk, Russia, 27–28 February 2018; Volume 1050. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Ural-20R-11 Combine (general view).
Figure 1. Ural-20R-11 Combine (general view).
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Figure 2. Zones for possible values of kp.r. and ke.ef. coefficients.
Figure 2. Zones for possible values of kp.r. and ke.ef. coefficients.
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Figure 3. Block diagram (a) and general view (b) of the VATUR unit.
Figure 3. Block diagram (a) and general view (b) of the VATUR unit.
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Figure 4. Changing energy parameters of the actuators operating in the Ural-20R combine: U1—input phase voltage, V; N1—active power of the cutting disc drive, kW; N2—active power of the fender drive, kW; N3—active power of the portable motion drive, kW; T1—the duration of the “off” state of the combine’s electric motors, s; T2—duration of motors’ start, s; T3—hewing duration, s; T4—duration of steady-state operation mode, s; T5—duration of no-load operation mode, s.
Figure 4. Changing energy parameters of the actuators operating in the Ural-20R combine: U1—input phase voltage, V; N1—active power of the cutting disc drive, kW; N2—active power of the fender drive, kW; N3—active power of the portable motion drive, kW; T1—the duration of the “off” state of the combine’s electric motors, s; T2—duration of motors’ start, s; T3—hewing duration, s; T4—duration of steady-state operation mode, s; T5—duration of no-load operation mode, s.
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Figure 5. Values of the productivity coefficient for the Ural-20R combine.
Figure 5. Values of the productivity coefficient for the Ural-20R combine.
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Table 1. Productive time of the Ural-20R-11 combine in various technological operations.
Table 1. Productive time of the Ural-20R-11 combine in various technological operations.
No.Process OperationTotal Operation Time, hCombine’s Total Productive Time, hShare of the Execution Time of Separate Technological Operations, %
1Hewing48.0810.149
2Full-face mining403.08118.1063
3Returning48.670.005
4Undercutting132.1752.4523
Total632180.69100
Table 2. Values of energy efficiency coefficients, breakdown by combine operation in various mining conditions.
Table 2. Values of energy efficiency coefficients, breakdown by combine operation in various mining conditions.
No.Combine’s Operation during MeasurementMining Face Area, m2Operational Productivity, t/minSpecific Energy Consumption Hwa, kWh/tEnergy Efficiency Coeff., ke.ef Productivity Coefficient, kp.r.
1Mining the chamber with a dead-end face,
passed 10.5 m per measurement
15.55.91.330.870.28
2Mining the chamber with a dead-end face,
passed 16.6 m per measurement
15.55.81.200.970.29
3Undercutting the seam (second-pass chamber mining).
passed 13.8 m per measurement
6.23.41.780.650.37
4Mining the chamber with a dead-end face,
passed 11.2 m per measurement
15.54.51.490.780.26
Table 3. Ore delivery rates using self-propelled mine cars.
Table 3. Ore delivery rates using self-propelled mine cars.
Carrying Capacity of a Self-Propelled Mine Car, tDelivery Rate of a Self-Propelled Mine Car, t/min, with Delivery Length, m
35100150200
154.153.182.752.38
184.983.823.32.86
225.624.383.83.3
307.125.644.934.32
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Lavrenko, S.A.; Shishlyannikov, D.I. Performance Evaluation of Heading-and-Winning Machines in the Conditions of Potash Mines. Appl. Sci. 2021, 11, 3444. https://0-doi-org.brum.beds.ac.uk/10.3390/app11083444

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Lavrenko SA, Shishlyannikov DI. Performance Evaluation of Heading-and-Winning Machines in the Conditions of Potash Mines. Applied Sciences. 2021; 11(8):3444. https://0-doi-org.brum.beds.ac.uk/10.3390/app11083444

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Lavrenko, Sergey A., and Dmitriy I. Shishlyannikov. 2021. "Performance Evaluation of Heading-and-Winning Machines in the Conditions of Potash Mines" Applied Sciences 11, no. 8: 3444. https://0-doi-org.brum.beds.ac.uk/10.3390/app11083444

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