Skip to main content

Methodology of Determination of Key Casting Process Parameters on DISA MATCH Automatic Moulding Line Affecting the Formation of Alloy-Mould Contact Defects

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The publication describes a concept of improvement of real-time data acquisition from selected production processes, taking into consideration the specific character of a European iron foundry. The authors indicate the direction of improvement in the control of production processes, taking into account the current automatic moulding line downtimes resulting from the foundry production capacity. The main objectives were to improve the methods of data acquisition according to the original guidelines and design a new, homogeneous database with the functionality of electronic recording of a required number of parameters. The prepared data were used to define flow charts and statistical models, and further to forecast defects caused by alloy-mould contact. The scientific approach described by the authors can also be used in other foundries with a similar production profile, as a tool supporting the decision making processes regarding monitoring and control of selected production processes.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Learn about institutional subscriptions

References

  1. Ignaszak, Z., Sika, R., Rogalewicz, M.: Contribution to the assessment of the data acquisition effectiveness in the aspect of gas porosity defects prediction in ductile cast iron castings. Arch. Foundry Eng. 18(1), 35–40 (2018)

    Google Scholar 

  2. 49th Census of Word Casting Production. Modest Growth in Worldwide Casting Market, December 2015. http://www.globalcastingmagazine.com. Accessed 22 Oct 2018

  3. Foundry Chamber of Commerce Catalog (2017)

    Google Scholar 

  4. Da Silva, R.B., Lima, M.L.S., Pereira, M.F., Abrão, B.S., Da Silva, L.R.R., Bianchi, E.C., Machado, A.R.: A surface and sub-surface quality evaluation of three cast iron grades after grinding under various cutting conditions. Int. J. Adv. Manuf. Technol. 99(5–8), 1839–1852 (2018)

    Article  Google Scholar 

  5. Cambell J., Complete casting handbook, 275–277

    Google Scholar 

  6. Saalem, M., Malik, S., Gottschling, J., Hartman, D.: Advanced quality control in foundry manufacturing process. In: Proceedings, 71st World Foundry Congress (WFC), Bilbao, Spain, vol. 1, pp. 96–108 (2014)

    Google Scholar 

  7. Vijayaram, T.R., Sulajman, S., Hamouda, A.M.S., Ahmad, M.H.M.: Foundry quality control aspects and prospects to reduce scrap rework and rejection in metal casting manufacturing industries. J. Mater. Process. Technol. 178, 39–43 (2018). https://doi.org/10.1016/j.jmatprotec.2005.09.027

    Article  Google Scholar 

  8. Schütz, D., Wannagat, A., Legat, C.: IEEE Trans. Ind. 9(4), 2397 (2013)

    Article  Google Scholar 

  9. Kochański, A.: Data preparation, computer methods in materials. Science 10(1), 25–29 (2010)

    Google Scholar 

  10. Perzyk, M., Biernacki, R., Kochański, A., Kozłowski, J., Soroczyński, A.: Applications of data mining to diagnosis and control of manufacturing processes. Knowledge-Oriented Applications in Data Mining, INTECH Open Science (2011)

    Google Scholar 

  11. Sika, R., Popielarski, P.: Methodology supporting production control in a foundry applying modern DISAMATIC molding line. In: Proceedings of 13th International Conference on Modern Technologies in Manufacturing (MTEM), Cluj-Napoca and AMaTUC, MATEC Web of Conferences, vol. 137 (2017). 05007-1-05007-6

    Article  Google Scholar 

  12. Gliń, W., Stasiak-Betlejewska, R.: Analysis of the production processes automation level in Poland, s.180

    Google Scholar 

  13. Fedoryszyn, A.: Assessment of systems for mechanisation of casting production. Arch. Foundry Eng. 7(3), 83–86 (2007)

    Google Scholar 

  14. Ajax Foundry. The DISA MATCH Moulding Principle, Sydney-Australia. http://www.ajaxfoundry.com.au/services.html. Accessed 9 Nov 2018

  15. Henon, G., Mascre, C., Blanc, G.: Investigation of the cast products quality. International Committee of Foundry Technical Associations, France (1986)

    Google Scholar 

  16. PN-85 H-83105. Casting Division and terminology of defects, Poland (1985)

    Google Scholar 

  17. Baler, J., Koppen, M.: Manual casting defects, IKO-Erbsloh (2004)

    Google Scholar 

  18. Perzyk, M., Kochański, A., Biernacki, R., et al.: Modeling of production processes in the foundry, in: advances in casting theory and practice. Arch. Foundry Eng (2009). ISBN 978-83-929266-0-3, 325-344

    Google Scholar 

  19. Sika, R.: Acquisition and data mining for the Data Mining systems needs on the example applications in foundry industry. Ph.D. thesis, Prom. Zenon Ignaszak, Poznan University of Technology (2013)

    Google Scholar 

Download references

Acknowledgments

The research work reported here was made possible partially by 02/25/DSPB/4521 research work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert Sika .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sika, R., Jarczyński, A., Kroma, A. (2019). Methodology of Determination of Key Casting Process Parameters on DISA MATCH Automatic Moulding Line Affecting the Formation of Alloy-Mould Contact Defects. In: Gapiński, B., Szostak, M., Ivanov, V. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-16943-5_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-16943-5_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-16942-8

  • Online ISBN: 978-3-030-16943-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics