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Title: Nondestructive microstructural characterization of austempered ductile iron
Authors: Tüzün, Mert Yağız
Yalçın, Mustafa Alp
Davut, Kemal
Kılıçlı, Volkan
Keywords: Austempered ductile iron (ADI)
Magnetic Barkhausen noise (MBN)
Multiple linear regression analysis (MLRA)
Retained austenite
Issue Date: 2023
Publisher: Walter de Gruyter GmbH
Abstract: Austempered ductile iron (ADI) has been preferred in a wide range of applications due its unique combination of high strength, good ductility, wear resistance and fracture toughness together with lower cost and lower density compared to steels. Magnetic Barkhausen noise (MBN) measurement offers a better alternative to traditional characterization techniques by being fast and non-destructive. A simple linear regression using only one single independent variable cannot correlate the MBN with the microstructure of ADI, since its microstructure is multi component. Multiple linear regression analysis (MLRA) was used to build a model that uses the characteristic features of microstructural constituents as input parameters to predict the MBN. For that purpose, Cu-Ni-Mo alloyed ductile iron samples austempered between 325 and 400 degrees C and for 45-180 min duration were used. The results show that MBN is most sensitive to the size and shape of acicular ferrite and retained austenite. Moreover, MBN is almost insensitive to the size, morphology and volume fraction of graphite particles. This indicates that retained austenite pins the domain walls more effectively than the graphite particles. Considering the results MLRA, MBN technique can be used to characterize the ausferritic microstructure of ADI.
ISSN: 0025-5300
Appears in Collections:Materials Science and Engineering / Malzeme Bilimi ve Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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