ASSESSMENT OF DUCTILE IRON CASTING PROCESS WITH THE USE OF THE DRSA METHOD

  • Agnieszka Kujawińska Poznan University of Technology
  • Michał Rogalewicz Poznan University of Technology
  • Magdalena Diering Poznan University of Technology
  • Maria Piłacińska Poznan University of Technology
  • Adam Hamrol Poznan University of Technology
  • Andrzej Kochański Warsaw University of Technology

Abstract


The paper introduces a concept of assessment of a ductile iron casting process with use of the rule-based approach, known as DRSA (dominance-based rough set approach). The research was conducted in a large Polish foundry. The collected data concern the chemical composition and mechanical properties of the used ductile cast iron. In the paper, a methodology of creating a rule-based moulding model for the tensile strength was proposed. The quality, sensitivity and accuracy of the model extracted from the data were examined. The studies proved its usefulness in the industrial practice and for aiding of the decision making process.

Author Biographies

Agnieszka Kujawińska, Poznan University of Technology

Assistant Professor;

Poznan University of Technology, Faculty of Mechanical Engineering and Management, Chair of Management and Production Engineering

Michał Rogalewicz, Poznan University of Technology

Assistant Professor;

Poznan University of Technology, Faculty of Mechanical Engineering and Management, Chair of Management and Production Engineering

Magdalena Diering, Poznan University of Technology

Assistant Professor;

Poznan University of Technology, Faculty of Mechanical Engineering and Management, Chair of Management and Production Engineering

Maria Piłacińska, Poznan University of Technology

Assistant;

Poznan University of Technology, Faculty of Mechanical Engineering and Management, Chair of Management and Production Engineering

Adam Hamrol, Poznan University of Technology

Professor;

Poznan University of Technology, Faculty of Mechanical Engineering and Management, Chair of Management and Production Engineering

Andrzej Kochański, Warsaw University of Technology

Professor;

Warsaw University of Technology, Department of Plastic Forming and Foundry Engineering

References

K. Kalinowski, D. Krenczyk, C. Grabowik, Appl. Mech. and Mat., 307 (2013), 470-473.

J. Kozłowski, Supporting foundry process con-trol with advanced methods of artificial neural networks analysis [PhD thesis], Warsaw Universi-ty of Technology, Warsaw, 2009 [in Polish].

M. Polczynski, A. Kochański, Quality Eng., 22 (2010), 169 – 181.

J. Kozlowski, R. Biernacki, D. Myszka et al., Arch. of Foundry Eng., 4 (2004), 249-258 [in Polish].

M. Perzyk, A. Kochański, J. Mat. Proc. Tech., 109 (2009), 305-307.

M. Diering, A. Hamrol, A. Kujawińska, Key Engineering Materials, 637 (2015), 7-11.

M. Diering, K. Dyczkowski, A. Ham-rol, Advances in Intelligent Systems and Compu-ting [A. Herrero et. al.], Springer International Publishing, Switzerland, 2015, p. 415-425.

A. Kochański, Comp. Methods in Mat. Sc., 10 (2010), 25-29.

M. Nazirudeen, M. Sundar, S. Ramakrishnan, A. Lakshmanan Ind. Found. J., 48.4 (2002), 17-24.

M. Saleem, S. Malik, J. Gottschling, D. Hart-mann, World Foundry Congress 2014, Bilbao, Spain.

S. B. Kotsiantis, Informatica 31 (2007), 249-268.

A. Hamrol, A. Kujawińska, M. Piłacińska, M. Rogalewicz, Proc. 11th International QMOD Conference, 2008, Helsingborg, Sweden.

M. Rogalewicz, A. Kujawińska, M. Piłacińska, Manag. and Prod. Eng. Review, Committee of Production Engineering of Polish Academy of Science, 3 (2), Warsaw, 2012.

E. Więcek-Janka, Decisions and games, Pub-lishing House of Poznan University of Technolo-gy, 2011.

J. Błaszczyński, S. Greco, R. Słowiński, Proc. 8th International Conference of Modeling and Simulation – MOSIM’10, 2010, Hammamet, Tunisia.

J. Błaszczyński, S. Greco, R. Słowiński Eng. Appl. of Art. Intell., 25(2) (2012), 284-294.

K. Dembczynski, S. Greco, R., Europ. J. of Op. Res., 198, 2 (2009) 626-636.

L. Zhang, Y. Li , Q. Wang, C. Yan,, Ironmak-ing and Steelmaking, 2015.

A. Soroczyński, Generation of engineering knowledge rules based on registered cases of foundry production [PhD thesis], Warsaw Univer-sity of Technology, Warsaw, 2012 [in Polish].

Research project report, 1988/B/T02/2009/37, 2012, Poznan, Poland [in Polish].

A. Kochański, Inform. in Mat. Tech., 5 (2005), 33-37 [in Polish].

A. Kochański, Predicting the properties of ductile iron with the use of artificial neural net-works [PhD thesis], Warsaw University of Tech-nology, Warsaw, 1999 [in Polish].

M. Perzyk, A. Soroczyński, J. Kozłowski, Arch. of Metall. and Mat., 55 (2010), 879-898.

P. Żywica, A. Wójtowicz, A. Stachowiak, K. Dyczkowski, Improving medical decisions under incomplete data using interval-valued fuzzy ag-gregation, Proc. 2015 Conference of the Interna-tional Fuzzy Systems Association and the Euro-pean Society for Fuzzy Logic and Technology, 2015, p. 577-584.

T. Mauder, C. Sandera, J. Stetina, Steel re-search international, 2015.

Published
2016/04/28
How to Cite
Kujawińska, A., Rogalewicz, M., Diering, M., Piłacińska, M., Hamrol, A., & Kochański, A. (2015). ASSESSMENT OF DUCTILE IRON CASTING PROCESS WITH THE USE OF THE DRSA METHOD. Journal of Mining and Metallurgy, Section B: Metallurgy, 52(1), 25-34. Retrieved from https://aseestant.ceon.rs/index.php/jmm/article/view/8819
Issue
Vol. 52 No. 1 (2016)
Section
Original Scientific Paper

Authors retain copyright of the published papers and grant to the publisher the non-exclusive right to publish the article, to be cited as its original publisher in case of reuse, and to distribute it in all forms and media.

The Author(s) warrant that their manuscript is their original work that has not been published before; that it is not under consideration for publication elsewhere; and that its publication has been approved by all co-authors, if any, as well as tacitly or explicitly by the responsible authorities at the institution where the work was carried out. The Author(s) affirm that the article contains no unfounded or unlawful statements and does not violate the rights of others. The author(s) also affirm that they hold no conflict of interest that may affect the integrity of the Manuscript and the validity of the findings presented in it. The Corresponding author, as the signing author, warrants that he/she has full power to make this grant on behalf of the Author(s). Any software contained in the Supplemental Materials is free from viruses, contaminants or worms.

The published articles will be distributed under the Creative Commons Attribution ShareAlike 4.0 International license (CC BY-SA).

Authors are permitted to deposit publisher's version (PDF) of their work in an institutional repository, subject-based repository, author's personal website (including social networking sites, such as ResearchGate, Academia.edu, etc.), and/or departmental website at any time after publication.

Upon receiving the proofs, the Author(s) agree to promptly check the proofs carefully, correct any typographical errors, and authorize the publication of the corrected proofs.

The Corresponding author agrees to inform his/her co-authors, of any of the above terms.