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Numerical Simulation of the Continuous Casting of Steel on a Grid Platform

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8500))

Abstract

The process of continuous casting of steel is a modern and the most effective method of obtaining steel cast strands due to its standardization, automation and production process continuity, which brings about high quality and very high yield. The presented paper shows the Procast service, a distributed solver that is explicitly designed for the simulation of the continuous casting of steel on a grid platform. This service calculates temperature and solid fraction distributions for the selected machine geometry and user-specified material data and boundary conditions. This article presents a continuous casting simulation for the S235 steel cast with an industrial continuous casting machine. In addition, the speed-up and efficiency of calculations for various numbers of calculation nodes and sizes of finite element mesh is presented. We characterize some commercial programs for parallel computing of the continuous casting model as well.

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References

  1. Schwiegelshohn, U., Badia, R., Bubak, M., Danelutto, M., Dustdar, S., Gagliardi, F., Geiger, A., Hluchy, L., Kranzlmueller, D., Laure, E., Priol, T., Reinefeld, A., Resh, M., Reuter, A., Rienhoff, O., Rueter, T., Sloot, P., Talia, D., Ullmann, K., Yahyapour, R., Voigt, G.: Perspectives on grid computing. Future Generation Computer Systems 26, 1104–1115 (2010)

    Article  Google Scholar 

  2. Berman, F., Fox, G., Hey, T.: The grid: past, present, future. In: Berman, F., Fox, G.C., Hey, A.J.G. (eds.) Grid Computing: Making the Global Infrastructure a Reality. Wiley Series in Communications, Networking and Distributed Systems, pp. 9–50. Wiley, Chichester (2003)

    Chapter  Google Scholar 

  3. Rywotycki, M., Miłkowska-Piszczek, K., Trębacz, L.: Identification of the boundary conditions in the continuous casting of steel. Archives of Metallurgy and Materials 57, 385–393 (2012)

    Article  Google Scholar 

  4. Falkus, J., Buczek, A., Burbelko, A., Drozdz, P., Dziarmagowski, M., Karbowniczek, M., Kargul, T., Milkowska-Piszczek, K., Rywotycki, M., Solek, K., Slezak, W., Telejko, T., Trebacz, L., Wielgosz, E.: Modelowanie procesu ciaglego odlewania stali: monografia. Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – Państwowy Instytut Badawczy, Radom (2012) (in Polish)

    Google Scholar 

  5. Zienkiewicz, O.C., Taylor, R.L., Zhu, J.Z.: The Finite Element Method: Its Basis and Fundamentals, 6th edn. Butterworth-Heinemann, Oxford (2005)

    MATH  Google Scholar 

  6. Milkowska-Piszczek, K.: Development and application the numerical model of the CCS process to determine technological parameters of casting for steel S235. PhD Thesis. AGH University of Science and Technology, Krakow (2013) (in Polish)

    Google Scholar 

  7. Schwerdtfeger, K.: The Making, Shaping and Treating of Steel. Casting Volume, 11th edn. The AISE Steel Foundation (2013)

    Google Scholar 

  8. Falkus, J., Milkowska-Piszczek, K., Rywotycki, M.: The influence of the selected parameters of the mathematical model of steel continuous casting on the distribution of the solidifying strand temperature. Journal of Achievements in Materials and Manufacturing Engineering 55, 668–672 (2012)

    Google Scholar 

  9. Milkowska-Piszczek, K., Korolczuk-Hejnak, M.: An analysis of the influence of viscosity on the numerical simulation of temperature distribution, as demonstrated by the CC. Archives of Metallurgy and Materials 58, 1267–1274 (2013)

    Article  Google Scholar 

  10. Procast software, https://www.esi-group.com/software-services

  11. THERCAST software, http://www.transvalor.com/

  12. Vollrath, K.: Casting simulation using numerical processing becomes more important in steel mills. Stahl und Eisen 133, 45–53 (2013)

    Google Scholar 

  13. Liu, X.J., Bhavnani, S.H., Overfelt, R.A.: Simulation of EPS foam decomposition in the lost foam casting process. J. Mater. Process. Technol. 182, 333–342 (2007)

    Article  Google Scholar 

  14. CC Master, http://www.expresslab.co.kr/home/products/?view=CC-Master

  15. Procast software – user manual

    Google Scholar 

  16. Solek, K., Trebacz, L.: Thermo-mechanical model of steel continuous casting process 57, 355–361 (2012)

    Google Scholar 

  17. GridSpace2 Virtual Laboratory, https://gs2.plgrid.pl/

  18. Jadczyk, T., Malawski, M., Bubak, M., Roterman, I.: Examining Protein Folding Process Simulation and Searching for Common Structure Motifs in a Protein Family as Experiments in the GridSpace2 Virtual Laboratory. In: Bubak, M., Szepieniec, T., Wiatr, K. (eds.) PL-Grid 2011. LNCS, vol. 7136, pp. 252–264. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  19. Ciepiela, E., Zaraska, L., Sulka, G.D.: GridSpace2 Virtual Laboratory Case Study: Implementation of Algorithms for Quantitative Analysis of Grain Morphology in Self-assembled Hexagonal Lattices According to the Hillebrand Method. In: Bubak, M., Szepieniec, T., Wiatr, K. (eds.) PL-Grid 2011. LNCS, vol. 7136, pp. 240–251. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  20. Paraview software, http://www.paraview.org/

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Trębacz, L., Miłkowska-Piszczek, K., Konopka, K., Falkus, J. (2014). Numerical Simulation of the Continuous Casting of Steel on a Grid Platform. In: Bubak, M., Kitowski, J., Wiatr, K. (eds) eScience on Distributed Computing Infrastructure. Lecture Notes in Computer Science, vol 8500. Springer, Cham. https://doi.org/10.1007/978-3-319-10894-0_29

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  • DOI: https://doi.org/10.1007/978-3-319-10894-0_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10893-3

  • Online ISBN: 978-3-319-10894-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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