Comparison of methods for characterising the steel cleanness in powder metallurgical high-speed steels

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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Comparison of methods for characterising the steel cleanness in powder metallurgical high-speed steels. / Schickbichler, Manuel; Ramesh Babu, Shashank; Hafok, Martin et al.
in: Powder Metallurgy, Jahrgang 66.2023, Nr. 4, 29.01.2023, S. 316-332.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Vancouver

Schickbichler M, Ramesh Babu S, Hafok M, Turk C, Schneeberger G, Fölzer A et al. Comparison of methods for characterising the steel cleanness in powder metallurgical high-speed steels. Powder Metallurgy. 2023 Jan 29;66.2023(4):316-332. doi: 10.1080/00325899.2023.2170848

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@article{5fd3e079e6af47b1ae36fffc83b8c605,
title = "Comparison of methods for characterising the steel cleanness in powder metallurgical high-speed steels",
abstract = "Powder metallurgical (PM) steels are characterised by a very high cleanness level. Single mesoscopic inclusions can nevertheless induce material failure under the extreme exposed stresses in the final product. Extensive knowledge about the cleanness of these steels is therefore essential. Various methods for inclusion analyses are available, providing different information about the non-metallic inclusion population present in the steel matrix. Several state-of-the-art methods of inclusion analysis are compared, considering morphological parameters and chemical composition of the detected inclusions as well as the required time effort and statistics behind the specific method. Tests were carried out with a standard PM steel HS6-5-3C. Combined with chemical extraction, automated SEM/EDS measurements enable a clear description of the microscopic cleanness level. Statistical analyses using the extreme value theory allowed the prediction of the maximum inclusion size in the investigated samples.",
author = "Manuel Schickbichler and {Ramesh Babu}, Shashank and Martin Hafok and Christoph Turk and Gerald Schneeberger and Andreas F{\"o}lzer and Michelic, {Susanne Katharina}",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2023",
month = jan,
day = "29",
doi = "10.1080/00325899.2023.2170848",
language = "English",
volume = "66.2023",
pages = "316--332",
journal = "Powder Metallurgy",
issn = "0032-5899",
number = "4",

}

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TY - JOUR

T1 - Comparison of methods for characterising the steel cleanness in powder metallurgical high-speed steels

AU - Schickbichler, Manuel

AU - Ramesh Babu, Shashank

AU - Hafok, Martin

AU - Turk, Christoph

AU - Schneeberger, Gerald

AU - Fölzer, Andreas

AU - Michelic, Susanne Katharina

N1 - Publisher Copyright: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

PY - 2023/1/29

Y1 - 2023/1/29

N2 - Powder metallurgical (PM) steels are characterised by a very high cleanness level. Single mesoscopic inclusions can nevertheless induce material failure under the extreme exposed stresses in the final product. Extensive knowledge about the cleanness of these steels is therefore essential. Various methods for inclusion analyses are available, providing different information about the non-metallic inclusion population present in the steel matrix. Several state-of-the-art methods of inclusion analysis are compared, considering morphological parameters and chemical composition of the detected inclusions as well as the required time effort and statistics behind the specific method. Tests were carried out with a standard PM steel HS6-5-3C. Combined with chemical extraction, automated SEM/EDS measurements enable a clear description of the microscopic cleanness level. Statistical analyses using the extreme value theory allowed the prediction of the maximum inclusion size in the investigated samples.

AB - Powder metallurgical (PM) steels are characterised by a very high cleanness level. Single mesoscopic inclusions can nevertheless induce material failure under the extreme exposed stresses in the final product. Extensive knowledge about the cleanness of these steels is therefore essential. Various methods for inclusion analyses are available, providing different information about the non-metallic inclusion population present in the steel matrix. Several state-of-the-art methods of inclusion analysis are compared, considering morphological parameters and chemical composition of the detected inclusions as well as the required time effort and statistics behind the specific method. Tests were carried out with a standard PM steel HS6-5-3C. Combined with chemical extraction, automated SEM/EDS measurements enable a clear description of the microscopic cleanness level. Statistical analyses using the extreme value theory allowed the prediction of the maximum inclusion size in the investigated samples.

UR - http://www.scopus.com/inward/record.url?scp=85147422993&partnerID=8YFLogxK

U2 - 10.1080/00325899.2023.2170848

DO - 10.1080/00325899.2023.2170848

M3 - Article

VL - 66.2023

SP - 316

EP - 332

JO - Powder Metallurgy

JF - Powder Metallurgy

SN - 0032-5899

IS - 4

ER -