Skip to main content

Prediction of HPDC Casting Properties Made of AlSi9Cu3 Alloy

  • Conference paper
  • First Online:
Advances in Manufacturing

Abstract

The paper describes the influence of type of structure and its parameters on mechanical properties of high-pressure die-casting (HPDC) products out of AlSi9Cu3 alloy. The dendritic structure was described using the DAS parameter—a distance between branches of dendrites of a solid α solution (silicon in aluminium), which is a measure of microstructure refinement. According to the Hall–Petch law, the smaller grain causes the better strength. The finest grained structure can be obtained by increasing the rate of heat extraction from a casting to a mould. The best results, considering the classical methods, can be achieved using the high-pressure die-casting method. Therefore, results of studies of mechanical properties of sample castings, made using the above-mentioned casting method, are presented. The sample castings (cast-on samples) were subjected to tensile tests to determine mechanical properties (tensile strength, yield strength and elongation), as well as microstructure studies, considering the DAS. Experimental-simulation validation was performed using the Procast code with the application of a micromodel in the scope of compatibility of the DAS value and yield strength.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 389.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 499.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Kujawińska, A., Rogalewicz, M., Piłacińska, M., Kochański, A., Hamrol, A., Diering, M.: Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process. Metalurgija 55(4), 821–824 (2016)

    Google Scholar 

  2. Campbell, J.: Complete Casting Handbook, 2nd ed. Butterworth-Heinemann (2015)

    Google Scholar 

  3. Kurz, W., Fisher, D.J.: Fundamentals of Solidification. Trans Tech Publications (1992)

    Google Scholar 

  4. Dantzig, J.A., Rappaz, M.: Solidification. EPFL Press Lausanne, Switzerland (2009)

    Book  MATH  Google Scholar 

  5. Legutko, S., Żak, K., Kudlacek, J.: Characteristics of geometric structure of the surface after grinding. In: The 4th International Conference on Computing and Solutions in Manufacturing Engineering 2016—CoSME’16, p. 94 (2017)

    Google Scholar 

  6. Hurtalova, L., Tillov, E., Chalupov, M.: Optical and electron microscopy study of the mechanical properties improvement on recycled AlSi9Cu3 cast alloy along the hardening. Int. Virtual J. Sci. Techn. Innov. Ind. MTM 7, 48–51 (2011)

    Google Scholar 

  7. Leal dos Santos, S., Antunes, R.A., Santos, S.F.: Influence of injection temperature and pressure on the microstructure, mechanical and corrosion properties of a AlSiCu alloy processed by HPDC. Mater. Des. 88, 1071–1081 (2015)

    Article  Google Scholar 

  8. Niu, X.P., et al.: Vacuum assisted high pressure die casting of aluminium alloys. J. Mater. Process. Technol. 105, 119–127 (2000)

    Google Scholar 

  9. Dash, M., Makhlouf, M.: Effect of key alloying elements on the feeding characteristics of aluminum-silicon casting alloys. J. Light Met., pp. 251–265 (2001)

    Google Scholar 

  10. Martinez, E.J.D., Cisneros, M.A.G., Valtierra, S., Lacaze, J.: Effect of strontium and cooling rate upon eutectic temperatures of A319 aluminum alloy. Scr. Mater. 52, 439–443 (2005)

    Article  Google Scholar 

  11. Trojanowska, J., Varela, M.L.R., Machado, J.: The tool supporting decision making process in area of job-shop scheduling, recent advances in information systems and technologies. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo S.: (eds.) WorldCIST, Advances in Intelligent Systems and Computing, vol. 571. Springer, pp. 490–498 (2017)

    Google Scholar 

  12. Pandilov, Z., Milecki, A., Nowak, A., Górski, F., Grajewski, D., Ciglar, D., Klaić, M., Mulc, T.: Virtual modelling and simulation of a CNC machine feed drive system. Trans. FAMENA 39(4) (2016)

    Google Scholar 

  13. Gorski, F., Zawadzki, P., Hamrol, A.: Knowledge based engineering as a condition of effective mass production of configurable products by design automation. J. Mach. Eng. 16(4), 5–30 (2016)

    Google Scholar 

  14. Szczerbicki, E. (ed.):, Cybernetics and Systems, Special issue on Soft Computing and Intelligent Systems for Industry, p. 33 (2002)

    Google Scholar 

  15. Sanna, F., Fabrizi, A., Ferraro, S., Timelli, G., Ferro, P., Bonollo, F.: Multiscale characterisation of AlSi9Cu3(Fe) die casting alloys after Cu, Mg, Zn and Sr addition. La Metall. Ital., 4 (2013)

    Google Scholar 

  16. Pietrowski, S.: Silumins. Publ. House of Lodz University of Technology, Lodz (2001)

    Google Scholar 

  17. Anza, I., Sáenz de Tejada, F.: Development of New Al-Si9Cu3 alloys for HPDC components with tailored properties. In: World Foundry Congress in Bilbao (2014)

    Google Scholar 

  18. Dobrzanski, L.A., Engineering Materials and Materials Project, WNT (2006)

    Google Scholar 

  19. Talat Lectures. http://core.materials.ac.uk/

  20. Waszkiewicz, S., Fic, M., Perzyk, M., Szczepanik, J.: Dies and High-Pressure Die-Casting Moulds (in Polish), WNT (1983)

    Google Scholar 

  21. Kima, E.S., Leeb, K.H., Moonc, Y.H.: A feasibility study of the partial squeeze and vacuum die casting process. J. Mater. Process. Technol. 105, 42–48 (2000)

    Article  Google Scholar 

  22. Ignaszak, Z., Hajkowski, J.: Contribution to the identification of porosity type in AlSiCu high-pressure-die-castings by experimental and virtual way. Arch. Foundry. Eng. 15, 143–151 (2015)

    Google Scholar 

Download references

Acknowledgements

The research work reported here was made possible by 02/25/DSPB/4412 projects.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jakub Hajkowski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Hajkowski, J., Popielarski, P., Sika, R. (2018). Prediction of HPDC Casting Properties Made of AlSi9Cu3 Alloy. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds) Advances in Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-68619-6_59

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-68619-6_59

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68618-9

  • Online ISBN: 978-3-319-68619-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics