Predicting the microstructure of compacted graphite iron using a fuzzy knowledge‑based system

• Autorzy: Gumienny Grzegorz , Macioł Andrzej , Macioł Piotr

Identyfikatory

DOI

10.1007/s43452-023-00620-y

• Języki publikacji: EN

Abstrakty

EN

One of the important engineering materials is compacted graphite iron (CGI). Obtaining an expected microstructure leading to desired material properties is relatively difficult. In this paper, we present an approach to predicting the microstructure with a fuzzy knowledge-based system. On the basis of the results of statistical analysis and expert knowledge, an original taxonomy of CGI casts was formulated. The procedure of data acquisition, specimen preparation, analysis procedure and microstructures obtained are presented. Methods for expert experience-supported knowledge extraction from experimental data, as well as methods for formalizing knowledge as fuzzy rules, are introduced. The proposed rulesets, the reasoning process, and exemplary results are provided. The verification results showed that, using our approach, it is possible to effectively predict the microstructure and properties of CGI casts even in the absence of sufficient data to use data-driven knowledge acquisition. On the basis of the results obtained, examples of possible applications of the developed approach are presented.

Słowa kluczowe

EN

compacted graphite iron; fuzzy knowledge based system; microstructure prediction; fuzzy reasoning

PL

żeliwo grafitowe; system oparty na wiedzy; wnioskowanie rozmyte

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2023
• Tom: Vol. 23, no. 2
• Strony: art. no. e87, 2023
• Opis fizyczny: Bibliogr. 34 poz., rys., tab., wykr.

Twórcy

autor

Gumienny Grzegorz

• Faculty of Mechanical Engineering, Lodz University of Technology, Stefanowskiego 1/15, 90‑537 Lodz, Poland

• https://orcid.org/0000-0003-4671-3228

autor

Macioł Andrzej

• Department of Applied Computer Science, AGH-University of Science and Technology, Gramatyka 10, 30‑067 Krakow, Poland

• https://orcid.org/0000-0002-1354-6489

autor

Macioł Piotr

• Department of Applied Computer Science and Modelling, AGH-University of Science and Technology, Czarnowiejska 66, 30‑059 Krakow, Poland

• https://orcid.org/0000-0002-3733-3509

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