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Detecting large inc...
Detecting large inclusions in steels : evaluating methods
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- Ekengren, Jens, 1976- (author)
- Karlstads universitet,Avdelningen för maskin- och materialteknik
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- Bergström, Jens, 1954- (author)
- Karlstads universitet,Avdelningen för maskin- och materialteknik
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(creator_code:org_t)
- Wiley-VCH Verlagsgesellschaft, 2009
- 2009
- English.
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In: Steel Research International. - : Wiley-VCH Verlagsgesellschaft. - 1611-3683 .- 1869-344X. ; 80:11, s. 854-858
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Subject headings
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- The distributions of large non-metallic inclusions in two steel grades have been investigated using light optical microscopy, scanning electron microscopy and ultrasonic fatigue testing in the gigacycle range. The different methods have inherently different capabilities for finding inclusions in different size ranges. A measure of the distribution of large inclusions is proposed as the size S at which half of the fatigue specimens are expected to contain at least one inclusion of size S or larger, corresponding to 50% failure probability. Values of S are obtained using the volume distribution estimated by the three methods. Extrapolation from microscopy measurements on surfaces agree with fatigue fractography results regarding density of large inclusions, as measured by the proposed ranking variable S
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Materialteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Materials Engineering (hsv//eng)
Keyword
- Materials Engineering
- Materialteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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