Skip to main content
Log in

Modeling and optimization of industrial-scale horizontal direct chill casting

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

Abstract

Horizontal direct chill (HDC) casting is one of the important manufacturing processes for producing aluminum billets. Because of its horizontal nature and gravity effects, controlling HDC casting still remains a challenge. In this study, we tried to simulate and optimize HDC casting to overcome these challenges. This process was investigated with a three-dimensional finite element model (FE) including energy, turbulent Navier–Stokes, and phase change equations applied to industrial HDC casting. The melt flow, sump profile, and mushy zone width were clearly identified under various conditions. The mushy zone width was strongly found to be a function of casting speed, and it was observed that increasing the casting speed increases the sump depth. The asymmetric sump shape has been found to be independent of the casting speed. The effect of water-cooling temperature on the sump depth and shape was not pronounced. The shape of the sump was strongly dependent on the melt inlet’s vertical position. The results revealed that gravity’s effect on the cooling water causes an asymmetrical sump shape that may affect the billet quality. It was found that the asymmetric sump profile problem can be solved by shifting the melt inlet’s vertical position downward. The findings from the simulation were correlated to actual industrial HCD casting, and a symmetric and uniform sump profile was successfully obtained.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Nzebuka GC, Ufodike CO, Egole CP (2021) Influence of various aspects of low-Reynolds number turbulence models on predicting flow characteristics and transport variables in a horizontal direct-chill casting. Int J Heat Mass Transf 179:121648

    Article  Google Scholar 

  2. Yu H (1980) Light Metals 1980. TMS, Warrendale, PA: p. 613–28

  3. Incropera FP et al (1996) Fundamentals of heat and mass transfer, vol 6. Wiley, New York

    Google Scholar 

  4. Drezet J-M et al (2000) Determination of thermophysical properties and boundary conditions of direct chill-cast aluminum alloys using inverse methods. Metall and Mater Trans A 31(6):1627–1634

    Article  Google Scholar 

  5. Suyitno W, Kool H, Katgerman L (2004) Finite element method simulation of mushy zone behavior during direct-chill casting of an Al-4.5 pct Cu alloy. Metall Mater A 35:2917–2926

    Article  Google Scholar 

  6. Zhou Z et al (2022) Numerical simulation of DC casting of large-size rare earth magnesium alloy ingot under low-frequency electromagnetic field. Int J Adv Manuf Technol 122(3–4):1367–1381

    Article  Google Scholar 

  7. Li H et al (2017) Effect of pulsed magnetic field on the grain refinement and mechanical properties of 6063 aluminum alloy by direct chill casting. Int J Adv Manuf Technol 93:3033–3042

    Article  Google Scholar 

  8. Benny Karunakar D et al (2009) Effects of grain refinement and residual elements on hot tearing in aluminum castings. Int J Adv Manuf Technol 45:851–858

    Article  Google Scholar 

  9. Lebon GB et al (2020) Numerical modelling of melt-conditioned direct-chill casting. Appl Math Model 77:1310–1330

    Article  MathSciNet  MATH  Google Scholar 

  10. Bezrukikh AI et al (2022) Modeling of casting technology of large-sized ingots from deformable aluminum alloys. Int J Adv Manuf Technol 120(1–2):761–780

    Article  Google Scholar 

  11. Bennon W, Incropera F (1987) A continuum model for momentum, heat and species transport in binary solid-liquid phase change systems—I. Model formulation. Int J Heat Mass Transfer 30(10):2161–2170

    Article  MATH  Google Scholar 

  12. Založnik M, Šarler B (2005) Modeling of macrosegregation in direct-chill casting of aluminum alloys: estimating the influence of casting parameters. Mater Sci Eng, A 413:85–91

    Article  Google Scholar 

  13. Kulkarni S, Radhakrishna K (2007) Prediction of solidification time during solidification of aluminum base alloy castings cast in CO 2-sand mold. Int J Adv Manuf Technol 34:1098–1110

    Article  Google Scholar 

  14. Li W et al (2015) Horizontal continuous casting process under electromagnetic field for preparing AA3003/AA4045 clad composite hollow billets. Trans Nonferrous Metals Soc China 25(8):2675–2685

    Article  Google Scholar 

  15. Bredberg J (2000) On the wall boundary condition for turbulence models. Chalmers University of Technology, Department of Thermo and Fluid Dynamics. Internal Report 00/4. G oteborg: p. 8–16

  16. Weckman D, Niessen P (1982) A numerical simulation of the DC continuous casting process including nucleate boiling heat transfer. Metall Trans B 13(4):593–602

    Article  Google Scholar 

  17. Filipovic J et al (1992) Thermal behaviour of a moving steel strip cooled by an array of planar water jets. Steel research 63(10):438–446

    Article  Google Scholar 

  18. Multiphysics C (2018) Introduction to comsolmultiphysics®. COMSOL Multiphysics, Burlington, MA, accessed Feb, 1998. 9:32

  19. Walinjkar D, Rao AP (2015) C-DC and MC–DC casting of Al-alloys–A comsol approach. Mater Lett 161:698–700

    Article  Google Scholar 

  20. Preney T, Namy P, Wheeler J (2016) Adaptive mesh refinement: quantitative computation of a rising bubble using COMSOL Multiphysics®. in COMSOL Conf

Download references

Funding

This work was supported by the National Science and Technology Council of Taiwan under (grant numbers NSTC: 112–2222-E-167 -001 -MY3).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amir Reza Ansari Dezfoli.

Ethics declarations

Competing interests

The author declares no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ansari Dezfoli, A.R. Modeling and optimization of industrial-scale horizontal direct chill casting. Int J Adv Manuf Technol 126, 615–622 (2023). https://doi.org/10.1007/s00170-023-11187-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-023-11187-6

Keywords

Navigation