The Application of Fuzzy Logic Analysis for the Fast Calculations of Proper Parameters of Manufacturing Titanium Alloys from Powders

• Autorzy: Zyguła Krystian , Wojtaszek Marek

Identyfikatory

DOI

10.24425/amm.2023.142452

• Języki publikacji: EN

Abstrakty

EN

This paper presents a method based on the use of fuzzy logic for the rapid selection of optimal induction sintering parameters. The prepared fuzzy controller uses expert knowledge developed from the results of induction sintering tests of Ti-5Al-5Mo-5V-3Cr alloy green compacts produced from a mixture of elemental powders. The analysis of the influence of the applied sintering parameters on the material characteristics was based on the evaluation of the microstructure state and the measurement of the relative density of the samples after sintering. In this way, a universal tool for estimating the sintering parameters of titanium powder-based green compacts was obtained. It was shown that with the help of fuzzy logic it is possible to analyze the influence of the parameters of the manufacturing process of metal powder materials on the quality of the obtained products.

Słowa kluczowe

EN

fuzzy logic; titanium alloys; powder metallurgy; induction sintering; 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: 703--710
• Opis fizyczny: Bibliogr. 21 poz., fot., rys.

Twórcy

autor

Zyguła Krystian

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

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

autor

Wojtaszek Marek

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

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

Bibliografia

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Uwagi

Financial assistance of the National Science Centre Poland project No. UMO-2020/02/Y/ST8/00107 is gratefully acknowledged. The funding was for the part of the research related to developing the fuzzy controller and testing its performance.