Quantifying the comprehensive characteristics of inclusion‐induced defects using an integrated destructive and non‐destructive method

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorJuan, Rongfeien_US
dc.contributor.authorWang, Minen_US
dc.contributor.authorLian, Junheen_US
dc.contributor.authorGu, Chaoen_US
dc.contributor.authorLi, Lanxinen_US
dc.contributor.authorBao, Yanpingen_US
dc.contributor.departmentDepartment of Energy and Mechanical Engineeringen
dc.contributor.groupauthorAdvanced Manufacturing and Materialsen
dc.contributor.organizationUniversity of Science and Technology Beijingen_US
dc.date.accessioned2021-04-07T06:31:59Z
dc.date.available2021-04-07T06:31:59Z
dc.date.issued2021-03-17en_US
dc.description.abstractDriven by the continuous improvement of the mechanical properties, especially the fatigue property of the high‐strength steels, it is particularly important to characterize the type, size, and distribution of inclusions and the critical inclusions in the steel matrix, as they are decisive for the fatigue life performance. This paper presents an integrated approach for the comprehensive characterization of the inclusions in metals by combining the advantages of destructive methods based on metallography and non‐destructive testing methods using ultrasonic detection technology. The position and size of inclusions were obtained by scanning ultrasonic microscope, and the composition and micro‐image of inclusions were further analyzed by scanning electron microscope. According to the results obtained by the proposed approach, the distribution laws of oxide inclusions and sulfide inclusions in the samples were statistically analyzed, and then the maximum distribution analysis method was used to predict the maximum inclusions. We compare the predicted size value with the value obtained by the characterization method to establish a certain corresponding relationship. The results show that large defects in metals can be accurately characterized by the proposed method, and the size of inclusions predicted by extreme value analysis is close to that of the scanning electron microscope. The integrated destructive and non-destructive method can reveal the in situ information of inclusions and give the possible relationship between inclusions and process and material properties.en
dc.description.versionPeer revieweden
dc.format.extent18
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationJuan, R, Wang, M, Lian, J, Gu, C, Li, L & Bao, Y 2021, 'Quantifying the comprehensive characteristics of inclusion‐induced defects using an integrated destructive and non‐destructive method', Materials, vol. 14, no. 6, 1475. https://doi.org/10.3390/ma14061475en
dc.identifier.doi10.3390/ma14061475en_US
dc.identifier.issn1996-1944
dc.identifier.otherPURE UUID: fc03a758-768c-402e-bf8f-e51196402279en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/fc03a758-768c-402e-bf8f-e51196402279en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/61638731/ENG_Juan_et_al_Quantifying_the_Comprehensive_Characteristics_Materials.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/103540
dc.identifier.urnURN:NBN:fi:aalto-202104072809
dc.language.isoenen
dc.publisherMDPI AG
dc.relation.fundinginfoFunding: The research was supported by the State Key Laboratory of Advanced Metallurgy Foundation (No. 41618019) and the China Scholarship Council (No. 202006465011).
dc.relation.ispartofseriesMaterialsen
dc.relation.ispartofseriesVolume 14, issue 6en
dc.rightsopenAccessen
dc.subject.keywordAutomatic inclusion analyzer (AIA)en_US
dc.subject.keywordElectron microscopeen_US
dc.subject.keywordInclusionsen_US
dc.subject.keywordLargest extreme value distribution (LEVD)en_US
dc.subject.keywordScanning ultrasound microscopy (SUM)en_US
dc.titleQuantifying the comprehensive characteristics of inclusion‐induced defects using an integrated destructive and non‐destructive methoden
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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