SpringerLink
Log in

A new methodology to calculate the cooling law of steel mill lamination coils

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In the hot-rolled steel production processes, the cooling control after finishing rolling plays an important role on the final microstructure and mechanical properties of the product. Steel coils produced after lamination must be cooled from a high temperature to the ambient temperature, to be transported and sold. Usually, the coil is stored in a warehouse until it reaches the ambient temperature. Cooling process takes between 4 and 6 days, depending on weather conditions. A new methodology to obtain the coil cooling law has been developed in this paper. Numerical models were used to simulate and study the rate of the coil cooling and to obtain the values of the parameters involved in the cooling law. The geometry of the coil is a hollow cylinder with a height between 1.6 and 1.8 m and an outer diameter of about 0.9 m. Simulations of the coil cooling process were performed by using CFD techniques with ANSYS FLUENT software in transient conditions for 2D (two-dimensional) and 3D (three-dimensional) geometries to obtain the optimal rate of temperature decrease. Vertical and horizontal arrangements of the coils and also a different number of coils and rows were studied. A new equation (cooling law) based on logarithmic and arctangent terms was obtained. This equation describes conduction, convection, and radiations effects that have been proposed and verified, considering the boundary restrictions of the problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Wang X, Tang L (2008) Integration of batching and scheduling for hot rolling production in the steel industry. Int J Adv Manuf Technol 36(5–6):431–441

    Article  Google Scholar 

  2. Yadollahpour MR, Bijari M, Kavosh S, Mahnam M (2009) Guided local search algorithm for hot strip mill scheduling problem with considering hot charge rolling. Int J Adv Manuf Technol 45(11–12):1215–1231

    Article  Google Scholar 

  3. OECD DSTI/SU/SC. The future of the steel industry: selected trends and policy issues. 73rd Steel Committee Meeting Paris, 6–7 December 2012

  4. Pardo N, Moya JA (2013) Prospective scenarios on energy efficiency and CO2 emissions in the European iron & steel industry. Energy 54:113–128

    Article  Google Scholar 

  5. Estimates of emissions reduction potential for the 2015. Report. https://newclimateeconomy.report/workingpapers/wp-content/uploads/sites/5/2016/04/Estimates-Reduction-Potential-NCE-20151.pdf. (Last accessed June 2017)

  6. EC–European Commission. (2012). Directive 2012/27/EU of the European Parliament and of the Council of 25 October 2012 on energy efficiency. Official Journal of the European Union, L, 315(1)

  7. European Commission. On the future of carbon capture and storage in Europe COM (2013)

    Google Scholar 

  8. Villar A, Arribas JJ, Parrondo J (2012) Waste-to-energy technologies in continuous process industries. Clean Techn Environ Policy 14(1):29–39

    Article  Google Scholar 

  9. Das B, Prakash S, Reddy PSR, Misra VN (2007) An overview of utilization of slag and sludge from steel industries. Resour Conserv Recycl 50(1):40–57

    Article  Google Scholar 

  10. Sikdar S, Kumari S (2009) Neural network model of the profile of hot-rolled strip. Int J Adv Manuf Technol 42(5–6):450–462

    Article  Google Scholar 

  11. Nobari AH, Serajzadeh S (2011 Mar 31) Modeling of heat transfer during controlled cooling in hot rod rolling of carbon steels. Appl Therm Eng 31(4):487–492

    Article  Google Scholar 

  12. Phadke S, Pauskar P, Shivpuri R (2004) Computational modeling of phase transformations and mechanical properties during the cooling of hot rolled rod. J Mater Process Technol 150(1):107–115

    Article  Google Scholar 

  13. Yu, Wan-Hua, et al. Development and application of online Stelmor controlled cooling system. Appl Therm Eng 29.14 (2009): 2949–2953

  14. Czaputa K, Brenn G (2012) The convective drying of liquid films on slender wires. Int J Heat Mass Transf 55(1):19–31

    Article  MATH  Google Scholar 

  15. Le Page, Jean-François, et al. Development of an approximate empirical-CFD model estimating coupled heat and water transfers of stacked food products placed in airflow. J Food Eng 92.2 (2009): 208–216

  16. Park SJ, Hong BH, Baik SC, K. H (1998) Finite element analysis of hot rolled coil cooling. ISIJ Int 38(11):1262–1269

    Article  Google Scholar 

  17. Karlberg M (2011) Modelling of the temperature distribution of coiled hot strip products. ISIJ Int 51(3):416–422

    Article  Google Scholar 

  18. Irawan D, García A, Gutiérrez AJ, Álvarez E, & Blanco E Modeling of coil cooling using 2D and 3D computational fluid dynamics (CFD), The 3rd International Congress on Water, Waste and Energy Management, 18th–20th July 2016, Rome

  19. Fluent ANSYS (2012) 14.5, theory guide; ansys. Inc., Canonsburg, PA

  20. Witek S, Milenin A (2018) Numerical analysis of temperature and residual stresses in hot-rolled steel strip during cooling in coils. Arch Civil Mech Eng 18(2):659–668

    Article  Google Scholar 

  21. Cheng J, Liu Z, Dong H, Gan Y (2006) Analysis of the factors affecting thermal evolution of hot rolled steel during coil cooling. J Univ Sci Technol Bei**g Miner Metall Mater 13(2):139–143

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Energy Department, Escuela Politécnica de Ingeniería, Edificio de Energía, Universidad de Oviedo, 33203 Campus de Viesques, Gijón, Asturias, Spain

    Doddy Irawan, Antonio J. Gutiérrez-Trashorras, Eduardo Álvarez-Álvarez & Eduardo Blanco-Marigorta

Authors
  1. Doddy Irawan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antonio J. Gutiérrez-Trashorras
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eduardo Álvarez-Álvarez
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Eduardo Blanco-Marigorta
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonio J. Gutiérrez-Trashorras.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Irawan, D., Gutiérrez-Trashorras, A.J., Álvarez-Álvarez, E. et al. A new methodology to calculate the cooling law of steel mill lamination coils. Int J Adv Manuf Technol 97, 1873–1884 (2018). https://doi.org/10.1007/s00170-018-2081-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-2081-z

Keywords

Search

Navigation