Fast Estimation of Favorable Parameters of Hot Metal Forming, Using the Fuzzy Logic Method

• Autorzy: Wojtaszek Marek , Zyguła Krystian

Identyfikatory

DOI

10.24425/amm.2023.142454

• Języki publikacji: EN

Abstrakty

EN

The paper presents an approach based on the use of the fuzzy logic method as a tool for quick estimation of favorable parameters of hot plastic working of selected alloy and for the identification of those combinations of parameters that should be avoided. The idea and basic principles of operation of fuzzy controllers for the selection of thermo-mechanical parameters of hot metal forming were presented. The most important information necessary for a quick analysis based on knowledge engineering has been compiled. An example of the fuzzy controller using the information obtained based on plastometric test data and the results of observation of the microstructure state of deformed samples at various temperature and strain rate variants is presented. For the tested alloy, it was shown that the analysis of the parameters of their plastic processing using the fuzzy logic method, based on properly formulated expert knowledge, leads to obtaining satisfactory results. Thus, it was confirmed that fuzzy logic can be successfully used as a tool for quick estimation of correct or unfavorable thermal and mechanical combinations of hot forging processes.

Słowa kluczowe

EN

hot plastic working; knowledge engineering; fuzzy driver; plastometric tests; microstructure

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2023
• Tom: Vol. 68, iss. 2
• Strony: 723--731
• Opis fizyczny: Bibliogr. 16 poz., fot., rys., tab.

Twórcy

autor

Wojtaszek Marek

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland

• https://orcid.org/0000-0001-6942-8388

autor

Zyguła Krystian

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Al. Mickiewicza 30, 30-059 Krakow, Poland

• https://orcid.org/0000-0002-4586-5281

Bibliografia

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Uwagi

Financial support of the National Science Centre (Poland), M-ERA.NET 2 Call 2020, 2020/02/Y/ST8/00107 (AGH-UST project no. 28.28.110.70540) is gratefully acknowledged.