Prediction of Selected Mechanical Properties in Austempered Ductile Iron with Different Wall Thickness by the Decision Support Systems

• Autorzy: Jaśkowiec Krzysztof , Opaliński Andrzej , Kustra Piotr , Jach D. , Wilk-Kołodziejczyk Dorota

Identyfikatory

DOI

10.24425/afe.2023.144306

• Języki publikacji: EN

Abstrakty

EN

The structure of Austempered Ductile Iron (ADI) is depend of many factors at individual stages of casting production. There is a rich literature documenting research on the relationship between heat treatment and the resulting microstructure of cast alloy. A significant amount of research is conducted towards the use of IT tools for indications production parameters for thin-walled castings, allowing for the selection of selected process parameters in order to obtain the expected properties. At the same time, the selection of these parameters should make it possible to obtain as few defects as possible. The input parameters of the solver is chemical composition Determined by the previous system module. Target wall thickness and HB of the product determined by the user. The method used to implement the solver is the method of Particle Swarm Optimization (PSO). The developed IT tool was used to determine the parameters of heat treatment, which will ensure obtaining the expected value for hardness. In the first stage, the ADI cast iron heat treatment parameters proposed by the expert were used, in the next part of the experiment, the settings proposed by the system were used. Used of the proposed IT tool, it was possible to reduce the number of deficiencies by 3%. The use of the solver in the case of castings with a wall thickness of 25 mm and 41 mm allowed to indication of process parameters allowing to obtain minimum mechanical properties in accordance with the PN-EN 1564:2012 standard. The results obtained by the solver for the selected parameters were verified. The indicated parameters were used to conduct experimental research. The tests obtained as a result of the physical experiment are convergent with the data from the solver.

Słowa kluczowe

EN

ADI; austempered ductile iron; mechanical properties; prediction; decision support systems; decision tree

PL

żeliwo sferoidalne; właściwości mechaniczne; prognozowanie; systemy wspomagania decyzji

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2023
• Tom: Vol. 23, iss. 2
• Strony: 137--144
• Opis fizyczny: Bibliogr. 29 poz., il., tab., wykr.

Twórcy

autor

Jaśkowiec Krzysztof

• Lukasiewicz Research Network-Krakow Institute of Technology, Poland
• AGH University of Science and Technology, Department of Applied Computer Science and Modelling, Poland

• https://orcid.org/0000-0002-0569-1192

autor

Opaliński Andrzej

• AGH University of Science and Technology, Department of Applied Computer Science and Modelling, Poland

• https://orcid.org/0000-0002-9730-9594

autor

Kustra Piotr

• AGH University of Science and Technology, Department of Applied Computer Science and Modelling, Poland

• https://orcid.org/0000-0003-4342-2038

autor

Jach D.

• Kutno Foundry, Poland

autor

Wilk-Kołodziejczyk Dorota

• AGH University of Science and Technology, Department of Applied Computer Science and Modelling, Poland
• Lukasiewicz Research Network-Krakow Institute of Technology, Poland

• https://orcid.org/0000-0001-5590-0477

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)