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Determining the Parameters Effecting the Work of the Lubricants Supplying System at Wide-Strip Hot Rolling

  • Roman R. Dema
  • Ruslan N. Amirov
  • Olga B. Kalugina
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The article dwells upon the assessment of operation efficiency of lubricants supplying system through the whole finishing group at continuous broadband hot rolling mill “2000” Jointstock Venture Company “Magnitogorsk Iron and Steel Works”. The lubricants influence on the main hot rolling technology parameters is analyzed. As a result of the research, there was constructed a regression model to define the “lubricants presence” coefficients in the roll contact. Using lubricants while rolling process makes it possible to reduce external friction forces on the contact surface. From rolling production theory and practice, there is widely known that all kinematic and energy power parameters in one way or another depend on external friction force. While decreasing pressure on the rolls, energy expenses also get reduced. Using lubricants also allows to produce high strength steel brands, capable of withstanding high unit loads, and harsh work conditions. There were used statistics methods to evaluate lubricants impact on rolling parameters changes with the goal of subsequent withdrawal regression function for the stands № 10–13. Regression equations were obtained with the use of “Statistica” software, they allow to define the moments of the main driver’s shaft while using lubricants. There were calculated numerical meanings of the lubricants impact coefficients on the energy power parameters changes depending on the rolled out metal group.

Keywords

Hot rolling process Lubricants Lubricants supplying system Power parameters 

Notes

Acknowledgements

This work was financially supported by the Ministry of Education and Science of the Russian Federation for the project № 11.2054.2017/Project task within the framework of the state task for 2017–2019. (project number 11.2054.2017/4.6).

References

  1. 1.
    Tuboltsev LG (1982) Hot rolling of sheet steel with technological lubricants. Textbook for high schools, MetallurgyGoogle Scholar
  2. 2.
    Kalugina OB, Kinzin DI, Voronin BI (2015) Optimization of the production chain task solution by methods of graph theory. Model Dev Met Deformation Process 21:137–141Google Scholar
  3. 3.
    Dubovsky SV, Dema RR, Kharchenko MV, Yaroslavtsev AV (2011) Complex evaluation and investigation of the efficiency of the application of the technological lubrication feed to the support rolls of the stands No 7–9 of the NShSGP 2000 OJSC Magnitogorsk Iron and Steel Works. Proizvodstvo prokata 12:6–8Google Scholar
  4. 4.
    Cockroft MG (1970) Lubrication and lubricants. Metallurgy, MoscowGoogle Scholar
  5. 5.
    Platov SI, Rumyantsev MI, Dema RR, Kharchenko MV (2011) Efficiency of the hot rolling process with the supply of lubricant between the support and working rolls on a continuous broadband hot rolling mill 2000 OAO “MMК”. Bull Nosov Magnitogorsk State Tech Univ 4:19–21Google Scholar
  6. 6.
    Rumyantsev MI, Novitsky IO, Kalugina OB, Zelinov ID, Zelinova YuA (2016) New algorithm for the synthesis of the first approximation of the reduction regime for cold rolling in a pickling unit. Pass Des Bur 8:33–36Google Scholar
  7. 7.
    Platov SI, Rumyantsev MI, Dema RR, Kharchenko MV (2011) Efficiency of the hot rolling process with the supply of CM between the support and work rolls on a continuous broadband hot rolling mill 2000 OAO “MMК” Vestnik of Nosov Magnitogorsk State Tech Univ 4:19–21Google Scholar
  8. 8.
    Garber EA, Goncharsky AA, Petrov SV (2000) Determination of the coefficient of friction during the development of new types of emulsions in cold rolling mills. Rolled Met Prod 12:9–13Google Scholar
  9. 9.
    Dema RR, Kharchenko MV, Platov SI (2013) Theory and practice of application of technological greasing for broadband hot rolling. Monograph, MagnitogorskGoogle Scholar
  10. 10.
    Dema RR, Yaroslavtsev AV, Yaroslavtseva KK (2015) Supply of lubricant to rollers for broadband hot rolling and an estimation of the energy efficiency of the process using the example of the mill of 2000 OJSC MMK. Monograph, MagnitogorskGoogle Scholar
  11. 11.
    Dubovsky SV, Dema RR, Kharchenko MV, Yaroslavtsev AV (2011) Complex evaluation and investigation of the efficiency of the technological lubrication supply system in the stands № 7–9 of the continuous broadband hot rolling mill 2000 OJSC Magnitogorsk Iron and Steel Works. Proizvodstvo prokata 12:6–8Google Scholar
  12. 12.
    Rumyantsev M.I, Dema RR, Kharchenko MV (2012) Determination of the parameters affecting the efficiency of the system for supplying technological lubrication to continuous broadband hot rolling mills. Sci Tech Ind J Metall Process Equip 1:12–17. (Ukraine)Google Scholar
  13. 13.
    Garber EA, Kozhevnikova IA (2010) Problem aspects of the development of methods for energy-intensive calculation of thin-film rolling processes. Proizvodstvo prokata 12:16–24Google Scholar
  14. 14.
    Kharchenko MV, Dema RR, Bilichenko VI (2016) Energy reduction technologies based on the lubricant supply in the roll contact system “quarto” during the hot strip rolling. Solid State Phenom 870:446–453Google Scholar
  15. 15.
    Borovkov IV (2011) Working out of technology of operation of working and supporting rolls of a finishing group of a mill of 2000 with application of technological greasing. Works of the CSC of OJSC MMK Improvement of technology in OJSC MMK 15:243–252Google Scholar
  16. 16.
    Garber EA, Kozhevnikova IA, Tarasov PA (2007) Calculation of the efforts of hot rolling of thin strips with allowance for the stress-strain state in the zone of attachment of the deformation center. Proizvodstvo prokata 4:7–14Google Scholar
  17. 17.
    Ostapenko AL, Zabira LA (2009) Resistance of steel deformation during rolling and methods of its calculation, JSC “Chermetinformation”. Ferrous Metall 3:54–79Google Scholar
  18. 18.
    Garber EA, Kozhevnikova IA, Tarasov PA (2007) Refined calculation of the power of the main drive motors of broadband hot rolling mills. Proizvodstvo prokata 10:5–12Google Scholar
  19. 19.
    Dema RR, Kalugina OB, Tyuteryakov NSh (2017) Dependents of energy consumption at the wide-strip hot rolling on a mode option of rolls lubrication modeling. In: International conference on industrial engineering, applications and manufacturing (ICIEAM), pp 1–5Google Scholar
  20. 20.
    Vorozhishchev AN, Dema RR, Kazakova TV (2016) Modeling of a thermal massive body depending on the cooling liquid volume, as exemplified by rolls for a hot-rolling mill. In: Procedia engineering: 2nd international conference on industrial engineering, ICIE 2016, pp 1007–1012CrossRefGoogle Scholar
  21. 21.
    Tyuteryakov NS, Dema RR, Nefed’Ev SP (2016) Simulation and calculation of temperature distribution in roll fittings’ guides in contact with the rolled strip. In: Procedia engineering: 2nd international conference on industrial engineering, ICIE 2016, pp 667–673CrossRefGoogle Scholar
  22. 22.
    Platov SI, Dema RR, Amirov RN et al (2012) Mathematical modeling of the wear process of working rolls of the quarto stand when feeding lubricant. Mining magazine “Ferrous metals” special issue for the 80th anniversary of the plant, pp 54–57Google Scholar
  23. 23.
    Borovkov IV, Klimenko VV, Kazakov IV et al (2011) Development of a technology for operating working and supporting rolls of the finishing group of the mill of 2000 using a process lubricant. Works of the CSC of OJSC MMK No. 15 “Improvement of technology in OJSC MMK”, Magnitogorsk, pp 243–252Google Scholar
  24. 24.
    Kharchenko MV, Platov SI, Dema RR, Yaroslavtsev AV et al (2011) Development of rational regimes for supplying process lubrication to support rolls of stands of a finishing group of hot rolling mills. In: Modeling and development of processes of metal working with pressure: interregion, Magnitogorsk, pp 20–24Google Scholar
  25. 25.
    Rumyantsev MI, Ruchinskaya NA (2008) Statistical methods for processing and analyzing numerical information, control and quality management. Magnitogorsk, NMSTUGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Roman R. Dema
    • 1
  • Ruslan N. Amirov
    • 1
  • Olga B. Kalugina
    • 1
  1. 1.Nosov Magnitogorsk State Technical University (NMSTU)MagnitogorskRussian Federation

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